Nstp Narrative Report Essay Example

Nstp Narrative Report Essay NARRATIVE REPORT Being able to help is a privilege for us students for it teaches us how to become concerned to those who are in need, it helps us to understand the spirit of compassion and to share what we have to and abolish the selfishness hidden deep within us. Last July 15, 2012, our NSTP class went to Huspicio de San Jose to conduct a visit to the special children housed in the said orphanage. We hired a jeepney and we rode it going to Huspicio where the children are waiting for us. We brought prizes and candies for and we prepared games for them to enjoy. We also organized a program and prepared snacks for the special children. We all helped for the success of the aid event. The program started with a prayer, thanking God’s graces and for us arriving to the site safely. And then, an opening remark was made and the caregivers in Huspicio introduced each of the children, with their personal background such as their names, ages and the sickness and mental disorder that they are encountering. They also shared to us that most of the children are very talented: they can sing and some can even dance very well. We will write a custom essay sample on Nstp Narrative Report specifically for you for only $16.38 $13.9/page Order now We will write a custom essay sample on Nstp Narrative Report specifically for you FOR ONLY $16.38 $13.9/page Hire Writer We will write a custom essay sample on Nstp Narrative Report specifically for you FOR ONLY $16.38 $13.9/page Hire Writer These have put a smile in our faces. We also conducted an exercise to warm up our muscles for the long day. The excitement grew when the game proper has started. The first game is a guessing game. Each contestant should correctly guess the name of the fruit in the picture shown to them. We can see to the children’s eyes their enthusiasm to answer every picture, and their smiles tell that they are enjoying the game. During the event, I took care of Mayang, a special child in Huspicio whose disorder is cerebral palsy. Her real name is Maria, but her close friends as well as the caregivers chose to call her Mayang as her pet name. She’s a very sweet kid, in fact, she loves to hug and cuddle my arms and hands. She looks so cute every time she smiles. A very jolly person, she likes to dance and she’s indeed very good in it. We enjoyed each other’s company, especially when we joined the games that the class has prepared. We laughed and cheered every time she wins a game, and we danced with the music playing in the background. When I look at Mayang, it seems that she’s a normal kid just like everybody else. Yes, maybe she’s a disabled person but still, she’s like us, like me. She has feelings just like the all of us, and wants to enjoy life just like everybody else. I enjoyed being with Mayang, I started to care for her like she’s my own younger sister. She’s a blessing from God and she deserved to be loved and cared for. We ate snacks together with the children, and shared memories that will be forever seared in our memories. W bade farewell to each one of them, promising that we will meet again soon. I kissed Mayang’s forehead, and she gently squeezed my hands, our fingers interlocked. This’ll be a temporary good-bye for the both of us. I’m looking forward to our next visit in Huspicio de San Jose. This activity made me realize many things, things that made a great impact to my life. It is indeed my first time to encounter these kind of people, yet, I already felt love and concern for them. They made me realize how lucky and blessed I am. Thanks to NSTP, I had a chance to share my time to these children. I hope that our next visit will be as fruitful as this.

The History of Calculators and William Seward Burroughs

The History of Calculators and William Seward Burroughs Determining who invented the calculator and when the first calculator was created is not as easy as it seems. Even in pre-historic times, bones and other objects were used to calculate arithmetic functions. Long afterward came mechanical calculators, followed by electrical calculators and then their evolution into the familiar but not-so-ubiquitous-anymore handheld calculator. Here, then, are some of the milestones and prominent figures who played a role in the development of the calculator through history. Milestones and Pioneers The Slide Rule:   Before we had calculators we had slide rules. In 1632, the circular and rectangular slide rule was invented by W. Oughtred (1574-1660).   Resembling a standard ruler, these devices allowed users to multiply, divide, and calculate roots and logarithms. They were not typically used for addition or subtraction, but they were commonplace sights in school rooms and workplaces well into the 20th century.   Mechanical Calculators William Schickard (1592 - 1635):  According to his notes, Schickard succeeded in designing and building the first mechanical calculating device. Schickard’s accomplishment went unknown and unheralded for 300 years, until his notes were discovered and publicized, so it was not until Blaise Pascal’s invention gained widespread notice that mechanical calculation came to the public’s attention.   Blaise Pascal (1623 - 1662): Blaise Pascal invented one of the first calculators, called the Pascaline, to help his father with his work collecting taxes. An improvement on Schickard’s design, it nevertheless suffered from mechanical shortcomings and higher functions required repetitive entries. Electronic Calculators William Seward Burroughs (1857 – 1898): In 1885, Burroughs filed his first patent for a calculating machine. However, his 1892 patent was for an improved calculating machine with an added printer.   The Burroughs Adding Machine Company, which he founded in St. Louis, Missouri, went on to great success popularizing the inventor’s creation. (His grandson, William S. Burroughs enjoyed great success of a far different kind, as a Beat writer.)

7 Reasons to Celebrate Your Favorite Teacher

7 Reasons to Celebrate Your Favorite Teacher The United Nations Educational, Scientific and Cultural Organization (UNESCO) instituted World Teacher Day on October 5. However, many countries observe Teacher Day celebrations independently. In America, students celebrate  Teacher Appreciation Week  in the first full week of May. In that week, Teacher Appreciation Day is celebrated on Tuesday. How You Can Celebrate Teacher Day On Teachers Day, students express their gratitude and  appreciation  to their teachers. Many educational institutes commemorate Teacher Day with elaborate entertainment activities that include short plays,  dance,  and music. Parent volunteers and Parent-Teacher Association (PTA) members often host a small celebration party for the teachers. As a student, you can put up banners, and posters with  a thank you note  scribbled on them. Express your appreciation through  thank you cards. 7 Reasons to Appreciate Teachers A Teachers Influence Lasts Forever: In the words of William Butler Yeats, Education is not the filling of a pail but the lighting of a fire. We must credit our teachers who ignite the fire of learning in the mind that is yearning for knowledge. Someone once said, Teachers dont impact for a year, but for a lifetime. A teacher can make a lasting impression on your mind. This influence persists beyond school, college, and university, and becomes the beacon of light, guiding us through the journey of life. Good teachers play the role of a parent, providing encouragement, inspiration, and invaluable guidance.Teaching Is Not Easy: Not everyone can be a teacher. Sure, you can pursue teaching programs to gain the necessary certification to be a teacher. But a good teacher has to have certain qualities to be an icon of inspiration. Great teachers are those who can extract the nectar of goodness from young aspirants. They can fish out the hidden qualities of every student. With words of inspir ation, persistent training, and rigid discipline, they steer the students in the right direction. Great teachers teach the student to believe that nothing is impossible. Teachers Impact Many Generations:  Everyone has a favorite teacher. You may love this special teacher for her charisma, enthusiasm, or knowledge. Often, your best memories of childhood revolve around a great teacher, who inspired and changed your life. Their words  or actions linger in your memory decades after you leave school. Subconsciously, you emulate them as you pass on your knowledge to the next generation. Thus, a great teachers influence can last for many generations.Teaching Self-Reliance: By setting the right example, a teacher can impress the importance of self-reliance, instead of expecting help from others. This can teach students to build on their strengths and be responsible for their successes and failures. Students can learn to push their limits.Teachers Teach You to Seek Knowledge:  You may have come across some teachers who instilled value education in you. This kind of education can mold a human being for life. Teachers bear an enormous responsibility of pa ssing on their wisdom and knowledge. Italian astronomer and mathematician Galileo expressed, You cannot teach a man anything; you can only help him discover it in himself. Good teachers help in enabling this discovery. They open new avenues  and encourage students to explore and achieve their true potential. The Best Teachers:  Recollect the good qualities of your favorite teachers. You may notice some common qualities. They motivated you to work harder, and take bigger initiatives. They are passionate about their subject and enjoyed teaching. Good teachers understand the importance of nurturing the love and thirst for knowledge. Some nuggets of their valuable advice remain with you forever. Their insight broadens your horizons and enables you to expand your knowledge.Teachers as Entertainers: Good teaching involves good delivery. African-American scholar and teacher John Henrik Clarke rightly said, A good teacher, like a good entertainer, first must hold his audiences attention; then he can teach his lesson. It is not enough to simply know your subject. To initiate learning, teachers have to make the classroom experience enriching. Appreciate Your Teacher's Efforts With Gratitude Use this opportunity to get to know your teachers better. Share your thoughts and ideas and learn what inspires them. Make beautiful Teacher Day cards with  Happy Teacher Day quotes to express your admiration. One beautiful Teachers Day quote by Albert Einstein goes, It is the supreme art of the teacher to awaken joy in creative expression and knowledge. Every Day Is Teacher Day Why wait for  Teacher Day to come around? You dont need a special occasion to express your affection towards your teacher. Make each day of your teachers life special with thoughtful words and deeds. A first-grade teacher is pleased as punch whenever she gets a hand-made card from one of her students. Overlooking the spelling mistakes and scrawny handwriting, she says that it is the thought that counts. Your Success Is Your Teacher's Success A teacher considers herself successful when her students achieve success in their respective careers. For her, the only reward is your advancement. On Teachers Day, pay a visit to your alma mater, and meet the teachers who molded you. You will be surprised to find that they remember you, even though many years have rolled by. Your visit might bring tears of joy to their eyes. Express your appreciation by writing a personalized message. It is the best gift you could ever give your teachers.

Extent of Force for Maintaining School Discipline Research Paper

Extent of Force for Maintaining School Discipline - Research Paper Example It is more likely that student will produce effective results and will correct the problem. Sugai, Sprague, Horner, and Walker, (2000) conducted a study to prevent violence at school. Sugai, Sprague, Horner, and Walker, (2000) stated that an upsurge is seen in the number of incidents related to violent behavior in schools. Educators are demanded to make schools safer. However, schools receive very little assistance and guidance in their endeavors to develop and retain a proactive discipline system. Sugai, Sprague, Horner, and Walker, (2000) provide an idea related to how office discipline referrals can be used as source of information in order to manage, monitor, and modify their interventions for schools that exhibit high rate of behavioral problems (Sugai, Sprague, Horner, and Walker, 2000). Hyman, and Perone, (1998) contributed a study related to impact of policies and procedures of educators on misbehavior of students in schools. Hyman, and Perone, (1998) stated that victimizatio n of students by administrators, instructors, teachers, and other staff members of school, mostly under the name of discipline seldom contribute to alienation, aggression, or misbehavior of student. Yet, Hyman, and Perone, (1998) states that how these policies may contribute to school violence are mentioned in anecdotal evidence, survey data, and clinical studies. Assistance of school psychologists can be taken for the prevention programs (Hyman, and Perone, 1998). Unruly Behavior of Students – Statistics According to Daily Mail Reporter, (2011), teachers are more likely to be given powers to handle disruptive behavior of students in schools by using force on students. The ministry is... This essay stresses that when verbal forcing fails, the need of physical forcing emerges. This approach of disciplinary action often undermines the ability of student and results in nuisance in school system. Traditional approaches to maintain discipline have always remained punitive, negative, and reactive; therefore, they often lead to bad feelings for all the relevant parties. A positive approach to maintaining school discipline is to design a process that encourages good performance and solve performance problems. The basic notion behind this approach is to treat a student like an adult who need to solve a problem, instead of treating him like a child who must be punished. It is more likely that student will produce effective results and will correct the problem. This paper makes a conclusion that teachers are more likely to be given powers to handle disruptive behavior of students in schools by using force on students. The ministry is seeking ‘unequivocally restore adult authority to the classroom’ after observing statistics related to increasing level of aggressive behavior in schools. The previous system in U.S. focused on ‘no touch’ policies but it is most likely to be replaced by new policies. Previously, teachers were not allowed to touch students in the course of teaching them an instrument or aiding them in an accident. After this amendment, teachers will be able to use reasonable force to prevent student from leaving or eject disruptive students from the classroom.

Lafarge Company Essay Example | Topics and Well Written Essays - 1000 words

Lafarge Company - Essay Example One major advantage with e-learning is the universal nature of this approach. With the firm’s multinational presence, it goes without saying that the various managers in the countries where the firm’s branches are located can be incorporated into the system. Lafarge Company is one that deals with lime and cement in France. It is quite important to note that the company has been in operations for close to one and a half centuries. Actually around the 1930s the company was one of France’s largest cement producers. The success of the company was rather too much to be accommodated in the French locality so much so that in the present day the company has a presence in up to 76 countries all over the world. It has further diversified in the products it deals with and in the present time it has specialized in the production of concrete, aggregates, cement and gypsum. The company is of the opinion that for the achievement of its success there has to be adequate training of the staff that is there. In this connection it actually set up its learning base, the Lafarge University which was established back in the year 2003. The University aims at inculcating in managers the work values which are so much upheld by the company. The firm wants the managers of the firm to be the best in their particular fields in a bid to transforming the company even further. In the pursuit of the perfect solution to the issue at hand, Lafarge opted to get more involved with the internet. Actually the company stressed more on the development of e-learning and familiarizing the staff with what it entails. In accordance with the missions which the university upheld, there had to be a way through which the people involved in the company get a way of learning about how to achieve the objectives stipulated. The diverse nature of the firm at that particular time could not allow the centralization or rather the localization of the

I Believe Essay Example for Free

I Believe Essay Belief, according to www. freedictionary. com, is the mental act, condition, or habit of placing trust or confidence in another. It can also mean the mental acceptance of and conviction in the truth, actuality, or validity of something. Religion and science come in mind when belief is the topic. There are these things we call faith and fact. Other topics appear like the strength of a family bond, friendship, effect of a teacher on a student, and relationships. Religion and science appear to be the most outstanding when it comes to topics like this. There are too many people who question the things that they believe in and there are also a lot of people who firmly hold on to their beliefs as well. If asked, I would most likely write about religion and science and put them together, if possible. I believe in some of the scientific facts that we have so long held on to. For one, I believe that the theories and laws pertaining to physics are entirely accurate at the least, if not true in all instances. My every day experiences continue to reaffirm my beliefs in some of the most basic scientific facts. For example, the Earth’s gravity keeps everything in the planet bolted to the ground, in a manner of speaking. I walk every day and I am certain that the Earth’s gravity prevents me from aimlessly floating in the air. The scientific fact that there is always an opposing reaction to each force is also evident in everyday life. From the moment I step on the concrete pathway to the moment I return to bed at the end of the day, each force of the movements that I make have corresponding opposite reactionary forces which I thoroughly believe with no doubt. There is this question whether we believe in God or not. In science, there is this question on where the universe has all started. As for me, I do believe in God and I believe that He created the universe. I believe that God has no beginning and has no end. There are not too many occasions where I can relay a story where I can defend my belief in God and the creation of the universe. Although religion and science do not agree with each other all the time, there is something in me that bonds them together in my mind. When I say I believe in God, I do not reject my belief in science. I know that God created the universe, and the way He did it, that’s where, I think, science enters. On one occasion, I was asked by a close relative if I truly believe that God created the universe. Apparently, I responded on the affirmative. He then asked if my reply meant that I do not believe in science. Not necessarily, I told him. I explained that even though science seeks to quantify and establish facts through a rigid scientific method, one that prevents personal bias from getting involved in the identification of truthful facts, it does not necessarily mean that science also seeks to dispute religion. I told my relative to think of his body as an example. I told him that the human anatomy is composed of complex vital organs and processes that medical science has sought to explain and describe in purely scientific ways. Certainly, human evolution has played a key role in the development of our complex bodily organs and processes, and that his body is the product of the millions of years of evolution. However, I asked him if he thinks that something can come from nothing. Puzzled for a brief moment, he replied that it is impossible for something to come from nothing for nothing has â€Å"nothing† in it to cause anything. I then asked if he believes in the Big Bang Theory, to which he responded that he is still thinking about it to this day. Regardless, I said that the Big Bang Theory can be reconciled with the idea that God created the universe. Personally, I find it rather amusing that some people are having a difficult time thinking that the universe began with a â€Å"Big Bang†, and that beginning is God’s way to create everything that we can now experience. A masterful creator that God is, even the human body, I told my relative, has its roots from the image of God, and that human evolution is God’s way of helping the human species adapt to the changing environments of the planet which God created purposively in that manner. I believe in God and that it was in His power that created the universe. But because there is belief, one cannot help but doubt as well. Doubt can weaken the belief, but sometimes it can strengthen it too. I believe in God and the theory that the creation of universe started from Him. But where is the proof that these even existed? As people typically say, there is no proof enough to transform the non-believer. For the believer, his belief are always enough to safeguard his religious thoughts. Although one may find it difficult to reconcile religion with science, there is no reason to believe that the two should always clash. On the contrary, religion can reaffirm scientific facts while these facts can also serve to reaffirm religious beliefs. That science seeks the truth is enough to think that it ought not to be bias against religion because the quest for truth requires an open and critical mind without having to first establish a divergence from what religion espouses. That religion seeks to spread the same truth to humanity is enough to think that it ought not to dispose scientific facts as well. One can find plenty of common grounds between the two, and those are where people may begin to find their way into believing that science and religion can coexist in harmony.

How Is Violence In The Media Perceived In Society Essay -- essays rese

The world today has a variety of problems and violence is one of the most prominent. It is seen on the front page of the newspaper and as the â€Å"Top Story† on the eleven o’clock news. Unfortunately, it is also widely used for entertainment purposes. In the New York Times a 1998 article by Faye Fiore stated: "On average last year, one act of serious brutality was found for every four minutes of entertainment." Today, violence is a major part of electronic games, television, and the film industry. Violence becomes such an everyday scene for us that many believe it desensitizes us to the real world. That is why the majority of the time violence is perceived as the cause of many of society’s ills. One individual who feels this way is the author John Grisham. John Grisham had a friend who was killed by two young lovers whom he believed were influenced by the Oliver Stone film â€Å"Natural Born Killers†. This belief was not unsubstantiated. The young female said that the two lovers watched the film shortly before embarking on their journey. She said that her boyfriend was greatly influenced by the film. Grisham was extremely angry at the way the killers’, Micky and Mallory, violent lifestyles were glamorized in the film. Grisham felt that this type of glamorization leads the youth of America to approve of this type of lifestyle. Oliver Stone disagreed with Grisham. Stone believes that violence is in some instances necessary for an artist to get the point of his work across. He believes that an artist’s freedom of speech allows him to do whatever he wants to in his work regardless of the social implications. Stone condones violence in the media. Another area of the media where violence is perceived as entertainment is the electronic gaming industry. There is a game called Soldier of Fortune which was is scheduled to be released soon in the US. This game is designed along the same lines as games such as DOOM and Quake; but it has one important difference it is often advertised as one of the most violently realistic games ever. Shots to the head result in a variety of results such as caved in faces, heads split in half, heads with the top removed exposing the brain, and complete removal of the head all together. Needless to say this is one of the most highly anticipated gam... ...at and fires with his automatic weapon. The level-headed member of the group fires one shot at this man scoring a direct hit. Needless to say, the two (one?) men are able to take over the ship and rescue the hostages kept below deck. This movie gives a very unrealistic view of violence where the good guys always win and where they can commit any violent act they want and they do not have to face any consequences. The two main characters commit a ridiculous amount of murders yet they walk off into the sunset with little if anything said to them. This movie only portrays violence as bad when committed by the bad guys. In general, violence is mainly perceived as entertainment. But as stated earlier the perception of the violence depends greatly on the viewer, reader, or listener. Although the use of violence for entertainment can have harmful effects on the youth who experience it, it is up to the parents to regulate and moderate what their children watch. They can’t use the television for a babysitter and then complain about how the violence on TV affects them. They must be active in raising their own kids, because good parenting starts with the parent.

Why Courage Matters

McCain mean by saying that â€Å"without courage all virtue Is fragile†? It means that If we lack courage to hold on to our beliefs In the moment of testing, no just when everybody agrees with our opinion but also when they go against opposition, then our beliefs are superficial and weak and add nothing to our self respect for our virtues. Explain the concept of moral courage using an example. Is it different from physical courage?Moral courage: Is the ability to act rightly In the face of popular opposition, shame, scandal, or discouragement. This is the courage many people face on an everyday basis, always doing what Is right regardless of the consequences faced. Most people have a hard time doing the right thing when doing the opposite Is easier matter how hard It Is, and regardless of being Judged. This Is mostly because of human nature to care for their selves before others. For example, a group of guys walk down the street and watch a man's wallet fall from his pocket.Th e right thing to do is pick it up and return it back to the man. Because, there are a group of guys the better option is to walk away with the wallet. Therefore, your moral courage is questioned. All it takes is one person taking a stand for doing the right thing. Physical courage is familiar to many people: is courage in the face of physical pain, hardship, death, or threat of death. For example, when a building is caught on fire, people call the fire department. Firefighters run Inside that building regarding their fatty to help and protect the people trapped Inside.Regardless of the situation they make sure the people are safe, and sometimes losing their lives to save a stranger. Putting their lives on the line, not to overpower or harm others, but to serve and protect them. In these actions they deserve much respect for their hard work and dedication to serving others. What does McCain mean by â€Å"doing one's nearest duty'? Does the fact that McCain is a high-profile politici an add an element to that idea? Explain why or why not?It means that we should always strive to comply with our responsibilities and duties in every aspect of life. For five years, McCain was a POP in Vietnam. At one point he was offered his freedom but chose to stay behind with his fellow soldiers. That decision resulted In torture by his captors. Evaluate Moccasin's decision In terms of physical and moral courage, and the concept of ones' nearest duty. † resulted on more physical pain and torture. This action shows and represents mental courage and a sense of responsibility towards his personal duties.

Fair Value or Cost Mode Drivers of Choice for Ias 40

European Accounting Review Vol. 19, No. 3, 461– 493, 2010 Fair Value or Cost Model? Drivers of Choice for IAS 40 in the Real Estate Industry A. QUAGLI? and F. AVALLONE ? Department of Accounting and Business Studies (DITEA), University of Genova, Genova, Italy and ? ? Department of Computer and Management Science (DISA), University of Trento, Trento, Italy (Received September 2008; accepted February 2010) ABSTRACT The IFRS mandatory adoption in European countries is an excellent context from which to assess the validity of accounting choice theory, which postulates that information asymmetry, contractual ef? iency (agency costs) and managerial opportunism reasons could drive the choice. With this aim, we test the impact of these factors to explain the adoption of fair value for investment properties (IAS 40) in the real estate industry, taking into account the ‘revaluation’ option offered by IFRS1 and using historical cost without revaluations as a baseline catego ry for comparison purposes. We select a sample of European real estate companies from Finland, France, Germany, Greece, Italy, Spain and Sweden, all ? rst-time adopters of the IFRS. Using a multinomial logistic model, we show that information asymmetry, contractual ef? iency and managerial opportunism could account for the fair value choice. Particularly, the most signi? cant ? ndings are that size as a proxy of political costs reduces the likelihood of using fair value while market-to-book ratio is negatively associated with the fair value choice. On the other hand, leverage, another typical proxy of contracting costs, seems not to in? uence the choice. This evidence con? rms the current validity of traditional accounting choice theory even if it reveals, in such a context, the irrelevance of the usual relations between accounting choice and leverage. . Introduction We analyse if the choice between cost or fair value for investment property under IAS 40 aims at (i) reducing agency costs (contractual ef? ciency Correspondence Address: A. Quagli, Department of Accounting and Business Studies (DITEA), University of Genova, Via Vivaldi 2, 16126 Genova (GE), Italy. E-mail: [email  protected] unige. it 0963-8180 Print/1468-4497 Online/10/030461–33 # 2010 European Accounting Association DOI: 10. 1080/09638180. 2010. 496547 Published by Routledge Journals, Taylor & Francis Ltd on behalf of the EAA. 462 A. Quagli and F. Avallone easons), (ii) mitigating information asymmetries, as standard setters claim, or (iii) allowing managerial opportunism, typical motives de? ned by accounting choice theory (Holthausen, 1990; Fields et al. , 2001). Using a multinomial logistic regression, we test these hypotheses using 73 observations from real estate companies located in European countries (Finland, France, Germany, Greece, Italy, Spain and Sweden) which do not allow the fair value method in the pre-IFRS mandatory period in order to eliminate the in? uence of pre-exist ing fair value adoption. All these ? rms are ? sttime IFRS adopters, enabling us to compare the same accounting choice in a similar situation (? rst-time adoption). The mandatory adoption of IAS 40 (Investment properties) by European listed companies offers a unique opportunity to verify managers’ behaviour in a composite context of accounting choice. In fact, IAS 40 allows two alternative methods for appraisal of investment property assets: the cost method or the fair value method with recognition of fair value changes through pro? t and loss. Additionally, taking into account the IFRS1 ‘fair value as deemed cost’ option, the cost choice could be split into two lternatives: (i) historical cost without revaluation, (ii) historical cost with the IFRS1 option to revaluate investment property. This second option could represent a partial substitute for the fair value method, showing its effects only in equity without in? uencing pro? t and loss. 1 Thus, our model as sumes the choice of applying historical cost without revaluating it as the referent outcome category to compare (Y ? 0), and forms logits comparing the choice of using historical cost with IFRS1 revaluations of investment property (Y ? 1) and fair value choice (Y ? 2) to it. Our ? dings suggest that all the rationales described by accounting choice theory (information asymmetry, contractual ef? ciency and managerial opportunism) drive the decision to adopt fair value. Indeed, regarding contractual ef? ciency reasons in particular, we ? nd that the larger the size (proxy of political costs), the less likely fair value is to be chosen, while leverage and consequent lenders’ protection seems to be insigni? cant for the choice. Furthermore, our results show that market-to-book ratio (MTBV) (proxy of information asymmetry) is negatively related to the fair value choice. This ? nding, that con? cts with existing literature, could be accounted for in the real estate industry due to the fact that high levels of MTBV in this context reveal growth opportunities associated with a fair estimation of investment properties and therefore with a low information asymmetry. Managerial opportunism behaviour, measured by a dummy variable for earnings smoothing, seems to have an in? uence on fair value choice. While all these variables seem to have an in? uence on the fair value choice, the same variables do not explain the choice of historical cost with the IFRS1 revaluation option in preference to the cost maintenance approach.This paper offers various contributions to current literature. Firstly, to the best of our knowledge, it is one of the ? rst papers speci? cally focused on the choice Fair Value or Cost Model? 463 between cost and fair value in the IFRS context. We perform the analysis using a sample of ? rst-time IFRS adopters from several European countries adopting only the cost method in the pre-IFRS phase in order to both not limit the research to the tradition al comparison between German and UK ? rms and eliminate the risk of in? uence from past experience.Secondly, this paper introduces to the accounting choice literature a research designed to analyse the in? uence of multiple motivations (contractual ef? ciency, information asymmetry and managerial opportunism) for a multiple-choice environment (cost, cost with IFRS1 revaluation or fair value through pro? t and loss), testing through a multinomial logistic regression all the possible causes. Previous research, on the contrary, usually overlooks a comparison of multiple motivations (Fields et al. , 2001, pp. 290 – 291).In other words, compared to existing studies we conduct an analysis using an innovative multiple motivations – multiple choices approach that better captures the complexity of accounting choices in management decisions. Finally, we contribute to the current debate on fair value showing which ? rm characteristics drive the choice of this method. While inform ation asymmetries are the most discussed motives for fair value, we demonstrate the in? uence of contractual ef? ciency motivation as well as managerial opportunism, and the actual choices by ? ms demonstrate only a ‘partial enthusiasm’ towards fair value, even in a sector where liquid markets exist. The paper proceeds as follows. Section 2 concerns the literature related to our analysis. Section 3 goes on to describe the main features of IAS 40 and the preIFRS domestic GAAP of the countries sampled. Section 4 illustrates the development of our hypotheses, while Section 5 provides details on the empirical model design, variable de? nition, sample selection and data. Finally, Section 6 describes descriptive statistics, the main ? ndings and the robustness of the results. . Theory and Relation to Existing Research The choice between fair value and cost is a central topic in the current debate on accounting. Fair value is generally preferred due to the fact that ?nancial s tatements reveal a higher level of information (CFA Institute Centre, 2008),2 even if its adoption requires speci? c conditions: liquid markets, large database of available prices (Barth and Landsman, 1995; Ball, 2006), as well as new competencies in developing measurement models in the absence of liquid markets, making it possible to enhance estimate reliability (Schipper, 2005).On the other hand, the reliability of fair value estimates is the most critical point (Martin et al. , 2006; Watts, 2006; Whittington, 2008), with the potential damage brought to the stewardship function of ? nancial statements. More generally, the demand for fair value has to be evaluated in its speci? c country context. The demand for fair value and the related preference for a higher level of information vs. reliability of ? nancial statements in Common law countries is quite different from the same demand in Code law countries (see Ball et al. 2000). 464 A. Quagli and F. Avallone Alternatively, a cost m odel seems more ef? cient in a contractual perspective because it reduces agency costs generated by creditors’ protection, political visibility, taxation and litigation (Watts, 2003; Qiang, 2007). Recent studies, however, seem to ignore the importance that the analysis of the adoption of IFRS evaluation alternatives could have in providing some more explanations for managers’ accounting choices and, consequently, for the progress of accounting choice theory.Therefore, the choice between cost and fair value is a central topic in this sense. Following the framework of Francis et al. (2004), fair value and cost affect the properties of accounting numbers in a very different way. Fair value is more value relevant,3 and provides more predictable and timely earnings ? gures because it is more oriented towards future cash ? ows (derivable by the current value of some assets); on the contrary, the cost method approach supports conservatism, smoothness and the accrual quality, due to the recognition of value changes only if realized.While it is dif? cult to suppose the impact on earnings persistence, depending on the size of fair value changes, the aforementioned aspects will give rise to different accounting behaviours. The information about future cash ? ows derived by fair value will be more appreciated in ? nancial markets (analysts and equity investors), because it will contribute to mitigate information asymmetries. On the other hand, the cost method is less costly and has more utility for income smoothing and contractual ef? ciency for which conservatism is a precious support.In other words, each of these methods has, at a theoretical level, pros and cons and the actual choice will likely depend on ? rm-speci? c circumstances. The different impact of these two methods strongly implies the need of the accounting choice theory to investigate the topic. A powerful starting point for accounting choice investigation is offered by Holthausen (1990; see a lso Watts and Zimmerman, 1978; Fields et al. , 2001) who classi? ed in: (i) contractual ef? ciency (agency costs), (ii) information asymmetry and (iii) managerial opportunism, the reasons for accounting choices. i) Expectations derived from the accounting choice theory concerning the impact of fair value on contractual ef? ciency could lead to a supposed negative relationship: the choice of fair value could increase agency costs for several reasons. The greater income ? uctuations induced by fair value compared to the cost model could enhance the perceived risk by investors (European Central Bank, 2004) and, consequently, the cost of capital, as the high level of reported pro? ts could increase political costs due to higher company visibility (Hagerman and Zmijewski, 1979). Additionally, the doubtful veri? bility of fair value compared to cost measures, in some contexts (illiquid markets) could increase litigation and its related costs (Watts, 2003), as well as the fact that fair va lue through pro? t and loss could anticipate taxation costs. Furthermore, we can infer from the contractual ef? ciency reasons regarding lenders’ protection contrasting hypotheses on fair value preference. On the one hand (Watts, 2003; Qiang, 2007), lenders prefer Fair Value or Cost Model? 465 conservatism (thus the cost method) because it reduces the risk of distributing ? rm value through dividends.On the other hand, fair value represents the current value of assets and it could be more ef? cient in negotiating for debt covenants. In this sense Christensen and Nikolaev (2008), basing their research on a sample of French and German multi-industry companies, ? nd that the fair value method is preferred by companies with high leverage and they account for this through information asymmetry: the current value of ? xed assets gives more thorough information about the ? rm’s solvency capability. In this sense, IFRS1 revaluation option could be a ‘partial’ subs titute of IAS 40 fair value, that is, ? ms could use the conservative cost approach to guarantee lenders’ protection but they could opportunistically revaluate investment assets through IFRS1 to beat covenants or to give a signal about their solvency capability. In other words, while IAS 40 fair value is a ‘long-term strategy’ whose effects are uncertain (fair value could give rise to future revaluations or impairments), the IFRS1 option could be seen as a ‘short-term strategy’, the accounting consequences of which could be made available before its adoption (the revaluations ex IFRS1 option must exist at the transition date, that is, one year before the ? st exercise IFRS compliant). In this sense, this option would encourage opportunistic (and aggressive) accounting behaviour. All these propositions, however, could fail to be applied if we take into account that covenants use, on average, to exclude revaluation reserves in ? nancial ratios. (ii) Lo oking at asymmetries for market participants, measured by market-tobook ratio (MTBV), fair value could be preferred to cost method because of its higher and updated level of information divulgated to ? nancial statement users.This is the main argument supporting the fair value primacy from a current standard setters’ viewpoint (Barlev and Haddad, 2003; Ball, 2006; Danbolt and Rees, 2008; Whittington, 2008). For this hypothesis, IFRS1 option could be a partial substitute for IAS 40 fair value, because of its in? uence on equity and, consequently, on MTBV. (iii) When a ? rm is choosing between cost and fair value, the managerial opportunistic accounting behaviour, previously demonstrated by income smoothing practices (Barth et al. , 1999; He? in et al. 2002; Graham et al. , 2005) is less likely with fair value through pro? t and loss, which obliges large earnings impact due to the volatility of market prices. However, the choice of the IFRS1 option in this sense should be irrel evant (thus not competing with fair value through pro? t and loss method), because this accounting option in? uences only equity and has no impact on pro? t and loss. Our objective is to test empirically how these multiple, and in part controversial, reasons (managerial opportunism, contractual ef? iency and information asymmetries) account for the choice of either fair value or the cost model due to the recent mandatory adoption of IFRS. In the typical discussion about IFRS, in 466 A. Quagli and F. Avallone fact, the power of fair value is recognized speci? cally regarding its potential to reduce information asymmetries (Whittington, 2008). Our analysis is based on the assumption that recognition is more value relevant than simple disclosure. Since IAS 40 requires footnote disclosure of fair value investment properties for ? ms adopting cost (see Section 3), it could be assumed that the choice between cost and fair value is not relevant, because the information about fair value is available for ? nancial statement users whatever the accounting policy chosen for investment properties. Nonetheless, our paper poses disclosure not equivalent to recognition according to the prevailing literature4 (for a review see Schipper, 2007). In all probability, the reasons can be found in a different reliability of data included in the footnotes relating to the balance sheet measures (Schipper, 2007). As af? med by Cotter and Zimmer (2003), speci? cally for revaluations of ? xed assets, ‘the value relevance of recognized revaluations is not due to recognition per se, but rather to the fact that the assets being revalued are more reliably measured’ (p. 1). 3. Main Features of IAS 40 and Differences with the Domestic GAAP of Countries Sampled IAS 40 is concerned with investment property that is property (land or a building) held to earn rentals or for capital appreciation or both, rather than for use as a site in which to run a manufacturing business or as a good to sell in the ordinary course of business.The most relevant feature for our interests in IAS 40 is the evaluation method. IAS 40 permits evaluation of investment properties choosing alternatively: . fair value model, by which an investment property is measured, after an initial measurement, at fair value with changes in fair value recognized in the income statement and with no depreciation; . cost model, with the same rule as in IAS 16 (the property is to be measured after initial recognition at depreciated cost less any accumulated impairment losses).This feature makes IAS 40 unique within the IFRS because it represents the only case where the two main evaluation criteria, fair value and cost, are alternatively admitted in their ‘pure’ form; the IAS 40 fair value re? ects its changes from one period to another in the income statement and not directly in an equity reserve as established by IAS 16 or IAS 38. As a consequence, managers are conscious that the choice betwe en these accounting methods implies substantial variations in accounting results. As reported in the Basis for Conclusions, in the 2003 IAS 40 revision (par.BC 12), the IASB discussed whether to eliminate the choice between the fair value model and cost model, thus implicitly enforcing the former as the only evaluation Fair Value or Cost Model? 467 method allowed. However, it was decided to leave the choice between the two approaches for two main reasons: the ? rst was to give preparers and users time to acquire experience before using a fair value model. Obviously, with regard to the practice of fair value assessment the second was to allow time for countries with less-developed property markets and valuation professions to mature.The IASB planned to reconsider the option of using the cost model at a later date, in the light of ‘fair value supremacy’ pervading the International Accounting Standards. Nonetheless, the fair value primacy is notable for its disclosure clau se, requesting the fair value of the investment property for the entities that choose the cost model, this means that an entity is obliged to assess fair value in all cases, which is a logical premise to permitting an easier transition to the fair value method at a later date.Additionally, the entity has to declare in notes whether it applies the fair value model or the cost model and the methods and signi? cant assumptions applied in determining the fair value, including a statement whether the determination of fair value was supported by market evidence or was more heavily based on other factors (which the entity should disclose) relating to the nature of the property and the lack of comparable market data. The fair value method benchmarked by IAS 40 is a novelty for several European countries.Our sample looks at domestic accounting rules; it is made up of companies from countries which allow only the cost method for investment property: Germany (Deloitte & Touche, 2001), Finland (KPMG, 2003a), France (KPMG, 2003b), Greece (Tsalavoutas and Evans, 2009), Italy (PWC, 2005), Spain (Perramon and Amat, 2007), Sweden (KPMG, 2005). More speci? cally, in Spain and Italy an asset revaluation credited to equity is permitted only if a special law allows it. In France a revaluation to equity is permitted only if it embraces all ? ed assets and the long-term ? nancial assets. In Greece, it is possible to revaluate ? xed assets to equity every four years following a revaluation index established by the Government. In Germany no revaluations are allowed. Finnish and Swedish GAAP permit a revaluation of properties credited to equity if their fair value exceeds cost in a permanent, signi? cant and reliable way. The choice of countries using only the cost model in the pre-IFRS mandatory phase allows us to eliminate the in? uence of any pre-existing in? ence of fair value adoption. 4. Hypothesis Development Following Section 2, we develop our hypotheses concerning: (i) ef? cie ncy reasons, in terms of both the reduction of political costs and the lenders’ protection, (ii) information asymmetry and (iii) managerial opportunism. 468 A. Quagli and F. Avallone (1) Contractual Ef? ciency Following the hypothesis that conservatism accounting should reduce agency costs through a greater lenders’ protection (Watts, 2003; Qiang, 2007), we suppose a negative correlation between leverage and fair value method.We do not conjecture the opposite assumption (Holthausen and Leftwich, 1983) that in order to beat covenants, higher leverage could induce earnings increasing policies (like, in our speci? c context, the choice of fair value through pro? t and loss) because covenants usually do not take into account fair value revaluations (Citron, 1992; Christensen and Nikolaev, 2008). Thus, H1: The probability of choosing fair value decreases if company has a high leverage ratio level before IFRS adoption.We do not posit any assumption on the relationship betwee n leverage and the choice of historical cost with the IFRS1 option for the aforementioned exclusion of revaluation reserves in ? nancial ratios used by covenants. As already described in the part of Section 2 that looks at political costs, we can suppose from the literature that conservative accounting reduces political costs because the high level of reported pro? ts could affect them due to higher company visibility (Hagerman and Zmijewski, 1979; Watts, 2003). In order to verify the impact of political cost on fair value choice, we adopt the ? m size as an independent variable. The size per se has been mentioned speci? cally as a criterion for actions against corporations since several studies document that the magnitude of political costs is highly dependent on the size of corporation (Watts and Zimmerman, 1978). Thus, we conjecture that the political costs increase according to the company size; the larger it is the higher are the political costs and the lower is the probability that is advantageous to choose a fair value approach. Accordingly, our research proposition is: H2: The probability of choosing fair value decreases with the size of the ? m. Even in this case, we do not suppose any relationship between political costs and the choice of historical cost with the IFRS1 option, because this option has no impact on pro? t and loss. (2) Information Asymmetry If information asymmetry exists in the speci? c context investigated, managers could choose fair value in order to clearly inform the market about the ‘true’ value of the ? rm. So, under the assumption that disclosure is not equivalent to recognition (Schipper, 2007), a positive association between the choice of the fair value method and information asymmetry is assumed.Fair Value or Cost Model? 469 Many studies (Smith and Watts, 1992; Amir and Lev, 1996) use market-tobook ratio (MTBV) as a proxy for information asymmetry, starting from the intuition that while market value captures the present value of growth opportunities, the book value approximates the value of assets in place. As a result, we posit that MTBV is positively related to information asymmetry and, consequently, positively related to fair value choice. Therefore, we assume: H3a: The probability of choosing fair value increases the more marked is the difference between market value and the book value of equity.We could also develop a concurrent hypothesis to H3a, on the basis that, in this case, the choice of historical cost with IFRS1 option, in? uencing equity, could be a ‘partial’ substitute of fair value through pro? t and loss. Thus, we expect a positive association between the choice of historical cost with IFRS1 option and information asymmetry, as measured by MTBV ratio. H3b: The probability of choosing historical cost with IFRS1 option increases the more marked is the difference between market value and book value of equity. (3) Managerial OpportunismFrom the theory we derive t hat managerial opportunistic accounting behaviour is demonstrated by income smoothing practices (Barth et al. , 1999; He? in et al. , 2002; Graham et al. , 2005) and we thus suppose that fair value through pro? t and loss with its volatile changes contrasts smoothing policies. So, a negative association between fair value choice and pre-IFRS earnings smoothing is expected. Hence: H4: The probability of choosing fair value decreases if managers reduce the variability of reported earnings using accruals.We do not suppose any relationship between managerial opportunism estimated by earnings smoothing and the choice of historical cost with IFRS1 revaluation, because this option has no impact on pro? t and loss. 5. Research Design Empirical Model and Variable De? nitions Two statistical procedures are used in our analysis: (i) the non-parametric Mann – Whitney two-sample rank-sum test is used to analyse the difference in explanatory variables between the group of ? rms that have a dopted the fair value model or cost model with the IFRS1 revaluation and the group that have chosen the cost 470A. Quagli and F. Avallone model (the cost group has been taken as a referent category). Additionally, (ii) we use a multinomial logistic regression model (MNL) to test the relationship between the ? rm accounting choice for investment properties and the hypothesized explanatory variables. Under the multinomial logistic model with three outcome categories (0, 1 and 2), p covariates and a constant term (b) denoted by the vector x, two logit functions are described as follows (Hosmer and Lemeshow, 2000): g1 (x) = ln[P(Y = 1| x)/P(Y = 0| x)] = b10 + b11 X1 + b12 X2 + . . . + b1p Xp (1) and 2 (x) = ln[P(Y = 2| x)/P(Y = 0| x)] = b20 + b21 X1 + b22 X2 + . . . + b2p Xp . (2) It follows that the conditional probabilities of each outcome category given the covariate vector are: P(Y = 0| x) = 1/1 + eg1 (x) + eg2 (x) P(Y = 1| x) = eg1 (x) /1 + eg1 (x) + eg2 (x) (3) P(Y = 2| x) = eg2 ( x) /1 + eg1 (x) + eg2 (x) . Our model assumes the choice to use historical cost without revaluating as the referent or baseline outcome category to compare (Y ? 0), and forms logits comparing the choice to use historical cost with the IFRS1 revaluation of investment properties (Y ? 1) and fair value choice (Y ? 2) to it.Furthermore, the model assumes the following relation between the proposed explanatory variables and the fair value accounting choice: ln[P(Y = FV| x)/P(Y = COST| x)] = b0 + b1 LEV + b2 SIZE + b3 MTBV + b4 SM + b5 CNT + b6 EPRA + b7 ACT + 1 (4) where b ? CHOICEi ? bFV; dependent variable equal to 2 if the ? rm i adopts fair value model under IAS 40 in ? rst-time adoption (FTA), 1 if ? rm i adopts the historical cost and uses IFRS1 to revalue investment properties and 0 if the ? rm i adopts the historical cost without revaluating; Fair Value or Cost Model? LEVi ? SIZEi MTBVi ? ? SMij ? CNTi ? EPRA ? ACT ? 471 he average debt to asset ratio for ? rm i, measured over tw o years before FTA; log of the average total asset over the two years before FTA; market-to-book value of ? rm i calculated over the last month of the FTA year since the market is in? uenced by the IFRS immediately after the FTA year; dummy variable coded 1 if ? rm i has an earnings smoothing index . the average index of earnings smoothing in country j (? rm’s country of domicile) and 0 otherwise; dummy variable coded 1 if ? rm i has an external market capitalization on GNP . the average external market capitalization on GNP for his legal country of origin (from La Porta et al. 1997) and 0 otherwise; dummy variable coded 1 if ? rm i is a member of the European Public Real Estate Association (EPRA) and 0 otherwise; ratio between total rents and total operating income estimated over the ? scal year preceding the IFRS mandatory adoption. Following Leuz et al. (2003) and Burgstahler et al. (2006) our proxy to capture earnings smoothing policies in the pre-IFRS period is computed as the ratio of the standard deviation of operating income divided by the standard deviation of cash ? ow from the operation, both measures being computed over the four years before IFRS mandatory adoption.The ratio is then multiplied by 2 1 so that higher values are associated with higher earnings smoothing policies. Moreover, in order to capture the real signi? cance of the smoothing ratio (only values around zero denote strong earnings smoothing activities but the more the values decrease the more the smoothing signi? cance disappears), in our analysis for each ? rm we only measure the distance from the average value of the same ratio for the country of origin as measured in Burgstahler et al. (2006). So, the resulting dummy variable is equal to 1 if the ? m has an earnings smoothing index higher than the average index estimated for the country of origin and 0 otherwise. This procedure enables us to capture the peculiarity of each country due to the different local GAAP adopted b efore IFRS (Leuz et al. , 2003; Burgstahler et al. , 2006). We control for three variables we conjecture to affect the fair value choice by including them as independent variables in the model. Controlling for both the country of origin and the EPRA (European Public Real Estate Association) membership allows us to include two exogenous factors that could affect the fair value choice.The former factor is considered because the differences in the nature of ? nancial systems around Europe are innate factors for international divergences in accounting (Nobes, 1998), thus in? uencing the fair value choice as well. The 472 A. Quagli and F. Avallone latter factor is considered because the EPRA’s Best Practices Committee encouraged the members to adopt fair value accounting to enhance uniformity, comparability and transparency of ? nancial reporting by real estate companies (EPRA, 2006). Additionally, it makes sense to control for the ? m activity since the business segments within t he real estate industry could be considerably different (long-term investments, trading activity, development or services). With reference to the country (CNT), we do not use the distinction between Code Law Countries and Common Law Countries (Ball et al. , 2000), because our sample is entirely made up of Code Law Countries. Since accounting practices usually adhere to ? nancing systems (systems based on banks are generally more conservative than systems based on markets), we decided to capture the country effect with the level of ? ancial market development. So, following Nobes (1998), we theoretically classify countries included in our sample in two groups: countries where the role of ? nancial markets is more developed (capital market-based systems) and countries where ? nancial markets are less developed (credit-based systems). We can assume that the adoption of the fair value method should be easier in capital market based systems, where the indirect cost of information product ion should be lower and the more developed market could better appreciate the informative content of fair value estimates. In order to summarize ? ancial market development, we use the same variable and values as in La Porta et al. (1997). Speci? cally, we ? rstly computed the ratio of stock market capitalization held by minorities to gross national product. Hence, the higher ratio value is associated with highly diffused equity and, as a consequence, with more ? nancially developed markets. Therefore, we adopt a dummy variable coded 1 if the ? rm has an external market capitalization on GNP higher than the average external market capitalization on GNP for its legal country of origin (from La Porta et al. , 1997) and 0 otherwise.The stock market capitalization held by minorities is computed as the product of the aggregate stock market capitalization and the average percentage of common shares not owned by the top three shareholders in the 10 largest non-? nancial, privately owned do mestic ? rms in a given country. The lack of availability of certain data forced us to use the same values estimated by La Porta et al. With reference to the EPRA membership, we only use a dummy variable (EPRA) that takes a value of 1 for ? rms that are EPRA members and 0 otherwise. Lastly, we control for ? rm activity (ACT).Particularly, since real estate companies could operate in many businesses (renting out investment properties, services, trading of investment properties and development), we use a variable to discriminate the ? rms which generally rent out investment properties from ? rms that operate in trading, services and development. Thus, we use the ratio between total rents and total operating income as a proxy of ? rm activity. So, the high values of the ratio suggest that the renting activity may be considered the company’s core business while low values of the ratio express the opposite.Both rents and total operating income are hand-collected from ? nancial sta tements for the ? scal year preceding the IFRS mandatory adoption and the latter Fair Value or Cost Model? 473 has been computed as the sum of rents, services, realized gains/losses on investment property sales and other operating revenues. In terms of empirical predictions, we conjecture a positive relationship between the fair value choice (CHOICE) and both ? nancial market development (CNT) and EPRA membership (EPRA). The present work makes no prediction with respect to the other control variable (ACT).Table 1, Panel A presents the proxies used for independent variables and the predicted sign of each relation between covariates and fair value choice for investment properties under IAS 40. Moreover, Table 1, Panel B only shows the relations between independent variables and the choice to use historical cost with IFRS1 revaluation, if theoretically signi? cant. Sample and Data Our study focuses on a sample of real estate ? rms from countries where a systematic use of fair value mod el was not allowed for investment property assets by pre-IFRS domestic GAAP.A sample of 76 companies was selected from a population of 216 European real estate companies listed in their own country of origin in December 2007 in the following stock markets: Finland, France, Germany, Greece, Italy, Spain and Sweden. In December 2007, the Datastream International database revealed 216 real estate ? rms from the countries that were analysed (235 items, of which 19 were paid rights, preferred share, etc. ). This sample was then screened against a set of conditions: (i) the availability of the full version of the ? rst ? ancial statement complying with IFRS, obtained from the corporate website or via a speci? c request to Investor Relators, (ii) investment property assets on the balance sheet (as de? ned by IAS 40) not equal to zero, and (iii) the full data availability in the Datastream International database. Of the original 216 ? rms, 40 had neither website nor IR contact, 26 had ? nan cial statements not complying with IFRS in the period of analysis (2005– 2007), 7 had no investment properties, 27 failed to respond and 40 ? rms did not have complete availability of data in ? nancial statements or in the Datastream database.Thus, only 76 ? rms had suf? cient information for the above-mentioned explanatory variables to be included in the sample. Table 2, Panel A shows the sample selection procedure. The described procedure clearly illustrates that our sample consists of the maximum number of companies for which it is possible to obtain suf? cient information for the analysis, starting from the initial number of companies identi? ed in the database (N ? 216). Nevertheless, our analysis could have introduced a selection bias if an association between ? rms’ disclosure policies (e. g. assuring the availability of the full ? ancial statement on the corporate website or replying to a speci? c request) and the accounting choice had existed. In order to remo ve any doubts, we test whether there is a difference in drivers of choice used in our analysis between ? rms that provide an annual report or disclose it 474 A. Quagli and F. Avallone Table 1. Proxies and predicted signs for explanatory variables. The variables are grouped according to the main hypotheses for fair value choice and for the choice to use historical cost with IFRS1 revaluation Hypotheses Predicted sign Proxies Explanatory variables Panel A: explanatory variables and fair value choice 1) Contractual ef? ciency The probability of choosing (H1) 2 Debt/asset LEV fair value model decreases (leverage) with higher leverage The probability of choosing (H2) 2 Log of total asset SIZE fair value model decreases with the size (2) Information asymmetry The probability of choosing (H3a) + Market-to-book MTBV the fair value model value increases the higher is information asymmetry (3) Managerial opportunism The probability of choosing (H4) 2 Earning SM the fair value model Smoothing decreases with the extent to Index (dummy which corporate insiders variable) reduce the variability of eported earnings (earnings smoothing) (4) Control variables Firm’s country of origin + External cap/ CNT (? nancial markets GNP (dummy development) variable) EPRA members (European + Yes/no (dummy EPRA Public Real Estate variable) Association) Firm activity ? Total rents/total ACT operating income Panel B: explanatory variables and historical cost with the IFRS1 option (2) Information asymmetry The probability of choosing (H3b) + Market-to-book MTBV the historical cost with value IFRS1 option increases the higher is the information asymmetry after request (the sample) and those that do not.Of course, we could only test the difference between the variables we collected from the Datastream database because we do not have access to the ? nancial statements of non-disclosing ? rm. Thus, we do not control if a difference exists in ? rm activity (ACT) between sampled and non-sampl ed ? rms. Fair Value or Cost Model? 475 Table 2 . Sample selection procedure and breakdown by country Number Panel A: sample selection procedure European Real Estate Firms listed in their own country of origin in December 2007 in the following stock markets (source: Datastream): Finland, France,Germany, Greece, Italy, Spain and Sweden (countries where systematic revaluation of investment properties was not allowed before the IFRS adoption) Excluding the ? rms: – not reporting under IAS/IFRS in the period of analysis (2005– 2007) – with no investment property assets (or with investment properties equal to zero) – with neither website nor IR contact – failing to respond – with insuf? cient data to estimate equation (3) (in ?nancial statements or in Datastream database) Per cent 216 100% 2 26 12% 27 3% 2 40 2 27 2 40 18. 5% 13% 18. 5% Final sample 76 35% Panel B: breakdown of sampled ? ms by country and the number (percentage) of companies sele cting fair value, cost with the IFRS1 revaluation or cost method Country No. of sampled Weight Fair value Cost with the Cost (%) companies (%) (%) IFRS1 (%) Finland France Germany Greece Italy Spain Sweden Total 4 26 22 4 8 4 8 76 5 34 29 5 11 5 11 100 4 (100) 11 (42) 12 (55) 3 (75) 2 (25) 0 (0) 8 (100) 0 (0) 4 (16) 4 (18) 1 (25) 1 (12) 3 (75) 0 (0) 0 (0) 11 (42) 6 (27) 0 (0) 5 (63) 1 (25) 0 (0) Panel B shows the breakdown by country of the sample and the proportion of companies that select fair value, cost with IFRS1 revaluation or cost method without revaluating in each country.We considered companies listed in: Helsinki (Finland), Paris (France), Frankfurt and Munich (Germany), Athens (Greece), Milan (Italy), Madrid (Spain) and Stockholm (Sweden). Of the original 67 non-disclosing ? rms (which have neither website nor IR contact or failed to respond), 34 ? rms did not have complete data availability on the Datastream database. Thus, only 33 ? rms had suf? cient information to be included in the test. For non-disclosing ? rms, we collected data using the same rules as applied in the sample and considering 2005 as a reference date unless companies were still not listed.In that case the reference date has been considered as the listing year. The results show that disclosing ? rms (the sample) are not statistically different from the non-disclosing ? rms in terms of the explanatory variables we selected except for the size ( p-value of 0. 000). 476 A. Quagli and F. Avallone This result is consistent with the literature that shows disclosure levels are usually positively correlated with ? rm size because of the decrease in the cost of disclosure (Lang and Lundholm, 1993). However, we keep the variable in the analysis for two reasons. Firstly, the ? m size (our proxy for political costs) could have both a possible negative relationship with fair value choice and a positive relationship with earnings smoothing (Watts and Zimmerman, 1978). If we do not include the ? rm size in the analysis, a signi? cant negative relation between earnings smoothing and fair value choice could be observed even if the size were the true explanatory variable. Secondly, even if a difference between sampled ? rms and non-disclosing ? rms exists in terms of size, summary statistics show a deviation in size within the sample that does not affect the results of the analysis.With reference to the control variables, among the non-sampled ? rms only one company is an EPRA member. This is an expected result because the EPRA’s objective is to establish best practices in reporting and to provide high-quality information to investors. The result, however, does not introduce a selection bias in the analysis because the sample is made of both EPRA’s members (34 ? rms, around 45% of the sample) and companies that are not (42 companies, 55% of the sample). For these reasons, the results validate our sample and suggest that the sample selection did not introduce a bias into the analysis.We relied on two sources for obtaining data for tests: (i) the ? rst ? nancial statement compliant with IFRS and (ii) the Datastream database. The former source enables us to verify the ? rms’ fair value or cost method choice for investment properties (IAS 40), the choice of ‘fair value as deemed cost’ under IFRS1 and to hand-collect from notes the portion of revenue that is a result of rental activities. The latter source provides all the accounting and non-accounting data we need to de? ne the other explanatory and control variables.Non-accounting data includes market-to-book ratio while the accounting data consists of leverage (debt to asset ratio), total asset, operating income and cash ? ow from the operation (the last two accounting numbers have been used to estimate the earnings smoothing ratio) and the revenues that come from rents. Since the aim of this study is to ? nd out why fair value might be preferred to cost under IAS 40, we have commonly used data which is not in? uenced by the choice. In order to make sense of this key assumption, we referred to different periods for market records and information collected from ? ancial statements when collecting data. Market data refers to the end of the FTA year because the market is in? uenced by IFRS immediately after the FTA year. In other words, immediately after the FTA ? nancial data under IFRS is actually disclosed in ? nancial statements (which explains why the market-to-book value is collected during the last month of the ? rst-time adoption ? scal year). Financial data was collected over the two ? scal years before the FTA. Two years of ? nancial data rather than one year is considered to be more representative of a ? rm’s general characteristics and, in particular, able to reduce the effectsFair Value or Cost Model? 477 that might occur from any unusual or abnormal data from a single year. Only the earnings smoothing ratio required a longer perio d of time; we used a four-year time period before the FTA for both operating income and cash ? ow from operation in order to estimate the related standard deviations. These two values were then compared to detect any earnings smoothing propensity. Financial information about the Swedish ? rms is converted into euros on the date of download from Datastream. Market data was automatically converted by the Datastream database. 6. Analysis of Results Summary StatisticsTable 2, Panel B shows the sample by country breakdown and displays both the number and the proportion of companies that select fair value, fair value with IFRS1 or cost model, respectively, in each country. At ? rst glance, Table 2, Panel B seems to reveal some national patterns in explaining the selection between fair value, historical cost with IFRS1 and cost model without revaluating investment properties. Despite the relatively small number of companies selected in some countries, it has still been possible to observe that companies from Finland, Greece and Sweden are extremely prone to adopting the fair value method.Conversely, Italian companies seem to prefer historical cost without revaluating, Spanish companies have a preference for historical cost with the IFRS1 choice to revalue investment properties, while companies from France and Germany, the main countries in our study in terms of number of companies examined, do not show an a priori preference. Thus, the results justify our choice to control for a country variable through the multivariate analysis. Table 3 presents summary statistics for the full sample of 76 ? rms.It should be noted that the two variables, market-to-book value (MTBV) and leverage (LEV), give rise to outlying observations implied by the values in the minimum and maximum columns of the table. One ? rm in particular had problematic values of both MTBV (value below zero) and LEV (value above one), due to a negative book value and this observation was removed from the anal ysis. Additionally, we isolate the outlying observations by means of the three sigma (standard deviation) rule (Barnett and Lewis, 1994), thus separating companies which have x ? m(x) ? 3s(x) (5) where s(x) is the standard deviation of the variable (x).To remove the possible effects of the outliers on the results, we present both the nonparametric analysis and the multinomial logistic regression excluding these values (N ? 73). 478 Variable Explanatory variables: LEV SIZE MTBV SM Control variables: CNT EPRA ACT Mean Std. dev. Minimum Q1 Median Q3 Maximum 0. 5881 12. 7876 1. 4739 0. 3684 0. 2802 1. 6774 1. 1350 0. 4855 0 8. 2765 2 0. 17 0 0. 4829 11. 9451 0. 965 0 0. 6015 12. 9058 1. 3 0 0. 7235 13. 9800 1. 615 1 2. 07 16. 6882 8. 94 1 0. 4736 0. 4473 0. 4999 0. 5026 0. 5005 0. 3492 0 0 0. 1834 0 0 0. 4551 1 1 0. 7778 0 0 0 1 1 1 LEV ? leverage; SIZE ? og of total asset; MTBV ? market-to-book value; SM ? earnings smoothing (dummy); CNT ? ?nancial market development (dummy); EPRA ? EP RA member (dummy); ACT ? ?rm activity. A. Quagli and F. Avallone Table 3. Summary statistics of explanatory variables for sampled ? rms (n ? 76) Fair Value or Cost Model? 479 Nonparametric Mann – Whitney Test To begin by analysing the characteristics of the ? rms that adopt the fair value method or the historical cost with the IFRS1 revaluation in comparison to those that adopt the historical cost without revaluation, we use a Mann–Whitney twosample rank-sum test.In view of the small size of the three groups, a nonparametric alternative to a conventional t-test is justi? ed because of the less challenging assumptions it requires, although this test has some limitations of its own, including being somewhat less powerful than the t-test. Table 4 shows evident differences across our independent variables, some of which appear statistically signi? cant. Consistent with the information asymmetry hypothesis (H3a), the output shows that there is a statistically signi? cant di fference in MTBV between real estate ? ms that choose the fair value method and real estate ? rms that adopt historical cost without revaluation (difference signi? cant at 0. 000 level). The analysis of both means and median for fair value and cost groups makes the direction of the difference clear (for the fair value group, a mean of 1. 203 and a median of 1. 11 against 1. 775 and 1. 49 for the cost group). The output exhibits a negative relation between the MTBV and the fair value choice, contrary to the prediction derived by the traditional meaning of MTBV as proxy for information asymmetry.In fact, the usual interpretation of high MTBV ratios as a signal of information asymmetry is based on the existence of growth options well known by managers, not revealed by accounting rules and, consequently, not identi? ed by investors. In theory, more growth options for high-tech ? rms in particular, are supposed as a consequence of a large bulk of intangibles whose recognition in ? nancia l statements is not allowed, even though investors can estimate their importance (Smith and Watts, 1992; Amir and Lev, 1996).However, in the real estate industry the relevance of intangibles seems less important than in high-tech ? rms. The main assets are investment properties, whose fair value could be easily estimated by ? nancial analysts. In this context, the meaning of high MTBV ratios might be in direct con? ict with the original intuition. In the cost accounting systems before IFRS adoption, higher values of MTBV ratios revealed growth opportunities associated with a fair estimation of investment properties and therefore with a lower information asymmetry. Conversely, lower MTBV ratios for real estate ? ms adopting the cost method could feasibly be the effect of information asymmetries on investment properties value and managers could prefer to use fair value method to reduce these asymmetries. In more precise terms, under the assumption that disclosure is not equivalent to recognition (Schipper, 2007), lower MTBV ratios estimated before the IFRS adoption for real estate ? rms adopting historical cost should be the result of information asymmetries on investment properties value. Thus, lower MTBV ratios could justify the managers’ preference to the fair value method in order to reduce the asymmetries.This reasoning makes it possible to demonstrate the validity of the hypothesis (H3a), even if the sign of the variable is opposite to the traditional interpretation of the relationship between MTBV and information asymmetry. 480 A. Quagli and F. Avallone Table 4. Mann– Whitney two-sample rank-sum test. Fair Value Group vs. Cost Group (NFV ? 38; NCOST ? 16) and Cost with IFRS1 revaluation vs. Cost Group (NIFRS1 ? 19; NCOST ? 16) Group Explanatory variables: LEV SIZE MTBV SM Control variables: CNT EPRA ACT Z-Statistics Pr . |Z| FV vs. COST IFRS_1 vs. COST FV vs. COST IFRS_1 vs. COST FV vs. COST IFRS_1 vs. COST FV vs. COSTIFRS_1 vs. COST 2 0. 11 4 1. 192 0. 682 0. 762 3. 543 1. 258 0. 814 2 1. 185 0. 909 0. 233 0. 495 0. 446 0. 000 0. 208 0. 415 0. 235 FV vs. COST IFRS_1 vs. COST FV vs. COST IFRS_1 vs. COST FV vs. COST IFRS_1 vs. COST 2 2. 018 2 1. 931 2 1. 007 0. 040 2 3. 523 2 0. 364 0. 043 0. 053? 0. 314 0. 968 0. 000 0. 715 This table presents the Mann–Whitney two-sample rank-sum test for both explanatory and control variables. ? , and indicate statistical signi? cance at less than 10%, 5% and 1% level, respectively. The sample (excluding the outliers) comprises 73 companies from seven countries, split into three groups: ? ms that adopt the fair value model (NFV ? 38), ? rms that choose the historical cost and use the IFRS1 option to revalue investment properties (NIFRS1 ? 19) and ? rms that adopt the cost model without revaluating (NCOST ? 16) for investment properties under IAS 40. LEV ? leverage; SIZE ? log of total asset; MTBV ? market-to-book value; SM ? earnings smoothing (dummy); CNT ? ?nancial market de velopment (dummy); EPRA ? EPRA member (dummy); ACT ? ?rm activity. Furthermore, both the ? nancial market development (CNT) and the ? rm activity (ACT) appear statistically signi? ant as well, with a difference signi? cant at 0. 043 and 0. 000 levels, respectively. The analysis of the means and median for CNT (mean of 0. 5526 and median of 1 for the fair value group against a mean of 0. 25 and median of 0 for the cost group) also shows a direction for the difference consistent with our assumption. Particularly, more developed ? nancial markets (estimated as in La Porta et al. , 1997) with the ratio of stock market capitalization held by minorities to GNP) seem to facilitate the adoption of fair value. Hence, the companies from countries where the role of ? ancial markets is more developed (capital market based systems) appear to view the fair value method more favourably than companies from countries where the markets are less developed (credit-based systems). With respect to the ? rm activity (ACT), we made no prediction of the sign. Both the output and the analysis of the mean and the median (mean of 0. 6558 and median of 0. 7507 for the fair value group against a mean of 0. 3005 and median of 0. 2756 for the cost group) show a positive direction of the difference. The result suggests that the predominant activity of the ? rms that choose the fairFair Value or Cost Model? 481 value model seems to be investment properties’ rental instead of other activities such as development and trading. Renting out properties implies a longer time period than other activities like development or trading, where assets would typically be sold in a shorter time. Thus, we could interpret the relation with fair value choice as the ? rms need to show the market value of their properties on the balance sheet when their realization will be in a longer time (rental activity). This would reduce the information asymmetry otherwise existing if properties were evaluated at cost. Conversely, when the business is more concentrated on development and trading, the need for fair value recognition is less strong, due to a shorter time horizon for the realization of these assets. Further explanatory variables, such as leverage (LEV), dimension (SIZE) and earnings smoothing (SM), appear not to be signi? cant in the univariate analysis. However, even if not signi? cant it seems interesting to highlight that for both the size (SIZE) and the earnings smoothing (SM) the analysis of the mean and median reveals differences coherent with our research proposition, hence larger size and earnings smoothing for ? ms adopting historical cost (for size, mean of 12. 781 and median of 12. 905 for the fair value group against mean of 13. 167 and median of 12. 932 for the cost group; for earnings smoothing, mean of 0. 263 and median of 0 for the fair value group against mean of 0. 375 and median of 0 for the cost group). Except for the ? nancial market development (CNT), neither ex planatory nor control variables seem to explain the managers’ choice to adopt the historical cost with the IFRS1 option to revalue investment properties rather than opting for historical cost without revaluation.As for fair value choice, the analysis of the means and median for CNT (mean of 0. 578 and median of 1 for the IFRS1 group against a mean of 0. 25 and median of 0 for the cost group) shows a direction for the difference consistent with the idea that in countries where the role of ? nancial markets is more developed (capital market based systems), companies seem to view the revaluation of investment properties allowed by IFRS1 more favourably than in countries where the markets are less developed (creditbased systems). Multivariate AnalysisBefore presenting the results of the multinomial logistic regression, we report the Spearman (rank) correlation coef? cients for the variables (Table 5). Considering the following multinomial logistic regression analysis, the depende nt variable has been split into three variables: (i) CHOICE, equal to 0 if companies adopt the historical cost, 1 if companies adopt the historical cost with the IFRS1 revaluation and 2 if ? rms embrace the fair value; (ii) FV vs. COST that only regards as fair value choice (Y ? 1) and historical cost (Y ? 0) and (iii) IFRS1 vs.COST that only takes into account the choice to adopt historical cost with the IFRS1 revaluation (Y ? 1) and the historical cost (Y ? 0). With reference to the dependent variable, Table 5 con? rms the previous univariate 482 Variables CHOICE FV vs. COST IFRS1 vs. COST LEV SIZE MTBV SM CNT EPRA ACT CHOICE – – – 0. 0552 2 0. 0620 2 0. 4343 2 0. 1728 0. 1890 0. 1462 0. 4707 FV vs. COST IFRS1 vs. COST – – 0. 0122 2 0. 0978 2 0. 4745 2 0. 0983 0. 2499? 0. 1356 0. 472 – 2 0. 2045 2 0. 1306 2 0. 2131 0. 2033 0. 3311? 2 0. 0068 0. 0625 LEV SIZE – 0. 1780 0. 1657 2 0. 1818 2 0. 312 0. 0895 2 0. 1136 – 0. 0915 0. 0781 0. 2874 0. 3638 0. 0239 MTBV SM CNT EPRA ACT – 0. 0633 – 2 0. 0826 0. 2091? – 0. 1176 0. 2734 0. 0400 – 2 0. 2627 2 0. 0525 0. 4447 0. 1659 – This table provides Spearman (rank) correlation matrix for both explanatory and dependent variables. Considering the following multinomial logistic regression analysis, dependent variable has been split into three variables: CHOICE, equal to 0 if companies adopt historical cost, 1 if companies adopt historical cost with the IFRS1 revaluation and 2 if ? rms adopt the fair value; FV vs.COST that only regards the fair value choice (1) and the historical cost (0) and IFRS1 vs. COST that only takes into account the choice to adopt the historical cost with IFRS1 revaluation (1) and the historical cost (0). Values indicated in bold show statistically signi? cant relationship between variables. ? , and indicate statistical signi? cance at less than 10%, 5% and 1% levels, respectively (two-tailed). Pearson corr elation shows similar results. LEV ? leverage; SIZE ? log of total asset; MTBV ? market-to-book value; SM ? earnings smoothing (dummy); CNT ? ?nancial market development (dummy); EPRA ?EPRA member (dummy); ACT ? ?rm activity. A. Quagli and F. Avallone Table 5. Spearman (rank) correlation matrix Table 6. Multinomial logistic regression results Panel A: model summary – goodness of ? t Number of obs. ? 73 LR chi2 (14) ? 41. 81 Prob . chi2 ? 0. 0001 Pseudo-R2 ? 0. 2799 Log-likelihood ? 2 53. 766523 Panel B: estimated coef? cients Variable Hypothesis 1 LEV SIZE MTBV SM CNT EPRA ACT Constant LEV SIZE MTBV SM CNT EPRA ACT Constant – – (H3b) – – – – 2 (H1) (H2) (H3a) (H4) Predicted sign + 2 2 + 2 + + ? Coeff. 2 0. 6117228 2 0. 4409383 2 0. 6115429 0. 2741504 1. 900273 0. 8488012 2 0. 708886 6. 279216 1. 734055 2 0. 6789767 2 1. 662586 2 1. 692808 1. 510263 2. 449269 2. 263975 8. 836272 Std. err. 1. 681102 0. 2748586 0. 5957133 0. 8804852 0. 9 408805 1. 124734 1. 421061 3. 866769 1. 715306 0. 289514 0. 6609104 0. 9636362 0. 949826 1. 124299 1. 353768 3. 969725 z 2 0. 36 2 1. 60 2 1. 03 0. 31 2. 02 0. 75 2 0. 68 1. 62 1. 01 2 2. 35 2 2. 52 2 1. 76 1. 59 2. 18 1. 67 2. 23 P . |z| 0. 716 0. 109 0. 305 0. 756 0. 043 0. 450 0. 494 0. 104 0. 312 0. 019 0. 012 0. 079? 0. 112 0. 029 0. 094? 0. 026 95% conf. interval 2 3. 906621 2 0. 9796511 2 1. 779119 2 1. 451569 0. 0561811 1. 355637 2 3. 756117 2 1. 299512 2 1. 627883 2 1. 246414 2 2. 957947 2 3. 5815 2 0. 3513614 0. 2456834 2 0. 3893613 1. 055755 2. 683176 0. 0977746 0. 5560336 1. 99987 3. 744365 3. 053239 1. 81434 13. 85794 5. 095992 2 0. 1115397 2 0. 3672257 0. 1958842 3. 371888 4. 652855 4. 91731 16. 61679 483 (Continued ) Fair Value or Cost Model? LOGIT 484 Panel C: estimated odds ratios LOGIT Variable Odds ratio 1 LEV SIZE MTBV SM CNT EPRA ACT LEV SIZE MTBV SM CNT EPRA ACT 0. 5424156 0. 6434324 0. 5425132 1. 315413 6. 68772 2. 336844 0. 3787464 5. 663571 0. 5071357 0. 189 6479 0. 1840021 4. 527923 11. 57988 . 621254 2 Std. err. 0. 9118557 0. 1768529 0. 3231823 1. 158201 6. 292345 2. 628327 0. 5382217 9. 714756 0. 1468229 0. 1253403 0. 1773111 4. 300739 13. 01925 13. 02494 z 2 0. 36 2 1. 60 2 1. 03 0. 31 2. 02 0. 75 2 0. 68 1. 01 2 2. 35 2 2. 52 2 1. 76 1. 59 2. 18 1. 67 P . |z| 0. 716 0. 109 0. 305 0. 756 0. 043 0. 450 0. 494 0. 312 0. 019 0. 012 0. 079? 0. 112 0. 029 0. 094? 95% conf. interval 0. 0201083 0. 3754421 0. 1687867 0. 2342026 1. 057789 0. 2577831 0. 0233743 0. 1963449 0. 2875341 0. 0519254 0. 0278339 0. 7037294 1. 278495 0. 6774894 14. 63149 1. 102714 1. 743742 7. 388093 42. 8214 21. 18385 6. 137025 163. 3658 0. 8944559 0. 6926533 1. 216386 29. 13348 104. 884 136. 6346 Choice ? 0 (historical cost) is the base outcome. This table presents coef? cients/odds ratios from multinomial logistic regression (MLN). Our model assumes the choice to use the historical cost without revaluating as the baseline outcome category to compare (Y ? 0), and fo rms logits comparing the choice to use the historical cost with the IFRS1 revaluation of investment properties (Y ? 1) and their fair value choice (Y ? 2) to it. We present Wald statistics, log-likelihood and McFadden pseudo-R2. , and indicate signi? cance at less than 10%, 5% and 1% level, respectively. LEV ? leverage; SIZE ? log of total asset; MTBV ? market-to-book value; SM ? earnings smoothing (dummy); CNT ? ?nancial market development (dummy); EPRA ? EPRA member (dummy); ACT ? ?rm activity. A. Quagli and F. Avallone Table 6. Continued Fair Value or Cost Model? 485 analysis results. Our proxy for information asymmetry, the market-to book ratio (MTBV), has a strong negative association with fair value choice, thus discriminating the fair value model group from the cost model group.The result con? rms the above-mentioned interpretation of this sign. Furthermore, both the ? nancial market development (CNT) and the ? rm main business (ACT) condition the choice as well. Conversely , the choice to adopt the historical cost with IFRS1 revaluation is not accounted for by the explanatory variables except for the ? nancial market development (CNT). With reference to independent variables, Table 5 shows that some statistically signi? cant

Five Mistakes to Avoid When Entering Writing Contests

Five Mistakes to Avoid When Entering Writing Contests Naturally youd love to win a prize for your writing. Most writers crave affirmation and reward, and like everyone else, you need money. You proof your work, read the guidelines, and submit Well yes and no. Things arent quite as simple as that, and here are some pitfalls to avoid. Ive made pretty much all of these mistakes over the years and when I stopped doing them, I won 20 writing contests. DONT: 1. Read only How to Enter page but not the Terms and Conditions and FAQs pages. On the How to Enter page youve been told to write a story up to 2,000 words on the theme of Whatever, and email it. Who could blame you if you do just that? Unfortunately vital information often hides on other pages. In the Terms and Conditions, for instance, you may find that entries have to be in a certain font. In the FAQs you may find that stories containing profanity will be disqualified. Check every page on the site that pertains to the competition. Its a pain, but it saves wasting your time. 2. Proof your piece in too short a time. Youve proofread your work. In fact youve read it through six times! Great, but did you read it six times one after the other? If theres time before the deadline, leave the piece for a week or longer so that you can proofread with fresh eyes. Even then theres a danger of seeing what you meant to write rather than what you actually wrote. Ideally youre fixed up with a writing comp buddy, and you proof each others comp entries. 3. Forget to check the time zone. You know the deadline, but make check the time zone. If its GMT and youre on EPT, find out when exactly you need to get your entry in. Its very frustrating to miss out 4. Send your elegant sonnet to a competition that likes heartwarming tales of people who overcome lifes obstacles, or vice versa. If its the inaugural year of the competition you may have no precise theme or detailed instructions to go on. In that case, gauge the tone and style of the website and research the judges. If the competition has run in previous years, read the winners. Youre unlikely to win with a clone of a winning piece from last year, but youll understand the type of writing the judges like. 5. Logic yourself out of entering. Youve written the piece, followed the guidelines, and read the rules and FAQs. Youve proofed your entry. Then you have a thought sequence that goes something like this: There will be thousands of entrants. Is it really worth it? Logically, its a waste of time entering. You dont enter, convinced that youve been sensible. Have you, though? If theres an entry fee and you cant afford it, then yes. If you know of a better home for your piece, then yes. Otherwise, no. Your piece may not win, but you dont know how many entries there will be in even a free competition. One that I won had just 20 entrants. And you never know how you compare to the talent of the other writers. You just might be the cream of the crop!

Challenges And Frustrations In A Country Doctor English Literature Essay

Challenges And Frustrations In A Country Doctor English Literature Essay Franz Kafka’s, â€Å"A country doctor† is a story that narrates the experiences and challenges a country doctor faces as he tries to carry out his duties as the doctor. He goes through various obstacles which he has no solution to, but has to face them just as they are. He clings to the idea of being a helper, wards of resignation, is ready to sacrifice his private life for his professional ethics and is forced in the cruelest way to recognize the vanity of his effort (Samon 2002). In this essay, am going to identify four challenges and frustrations that accompany each that confront the doctor. I will also explain why the story may be called a nightmare then lastly highlight the themes that revealed from the story. The weather is very unfavourable. It is this period that the doctor struggles to attend to an emergency ten miles away during a snowstorm. It is this bad weather and exhaustion that led to the death of his horse. The death of the horse greatly frustrates the doctor as he is unable to attend to the alarm because of lack of a horse. At the end as he goes back home, he is still greatly affected by the snow. The perspective of the patient about his sickness is also a big challenge to the doctor. The patient has given up on life. When the doctor arrives and looks at the patient, the young man says, â€Å"doctor, let me die!† This is a total loss of hope. The young man knows that the presence of the doctor will not bring any improvement to his health status. The young man later asks, â€Å"Will you save me?† At the end the young man tells the doctor that he had very little confidence in him. This is a major challenge to the doctor as the sick young man has already given up. The doctor is frustrated because he can do nothing to the state of the young man (John stone 2008). The emerging of the groom from the pigsty is one great challenge the doctor faces. The groom is a stranger but very willing to assist by lending his horse. In stead of accompanying the doctor, he refuses to go with him. In fact just the first time he handles Rosa is very suspicious. He scratches her cheek with his teeth. The groom’s actions after the doctor leaves are also mysterious (Cuizon 2008). The torment the doctor feels about Rosa is also a great challenge. Rosa was left with a stranger whom she was not willing to stay with. The doctor had to make a choice between saving Rosa and attending to the patient. He decides to attend to the patient but is frequently disturbed mentally about the state of Rosa and the stranger. The frustrations go further as he has left Rosa in a vulnerable state yet his mission is not successful (Cuizon 2008). The story might be called a nightmare because of the happenings that take place. The emerging of the groom and the horses from the pigsty is frightening. The doctor, who is the owner of the pigsty thinks it is abandoned, in fact Rosa’s comment is satirical; â€Å"one doesn’t know the things one has in one’s own house.† The groom is too willing to help. The description of the horses is not normal; in fact the doctor admits that he had never used such horses. The speed the horses run and the time taken for the ten miles is very short. The way the patient’s family handles the doctor is also frightening. They take off his clothes, and then force him to lie in the same bed with the patient. They then close the door and leave. In addition, the song sung by the school children and the teacher is frightening, â€Å"take his clothes off, then he will heal, and if he does not cure, kill him. It’s only a doctor, it’s only a doctor.†(Cuizon 2008).

Do Merit-Based Scholarships Make Sense Research Paper

Do Merit-Based Scholarships Make Sense - Research Paper Example This essay discusses why merit-based scholarships do not actually make sense and why they are unfavorable and unfair for financially needy students. Because of their vested interests, university and college managements seek to attract meritorious students through merit-based scholarships to enhance the public image and fame of their institutions. Merit-based scholarships are provided irrespective of the beneficiary’s financial status, often resulting in the provision of scholarships to those who can already afford their education, and may also result in the disproportionate distribution of financial aid at the expense of need-based scholarships. These scholarships are usually based on admission tests that are not designed for this purpose, and therefore, they are unfair and damage the educational system. In fact, it appears that merit-based scholarships are designed to satiate the interests of college managements and often violate the rights of those actually in need of financ ial aid. These scholarships do not really make sense because financial assistance is provided to the student irrespective of whether he/she needs it or not. As will be discussed further on, merit-based scholarships do more harm than good to the education system. ... A look at Lewis & Clark College scholarships shows that meritorious students in fields such as music and forensics, and those with leadership qualities and other such traits are more favored. Peter Schmidt (2007), in his article, â€Å"At the elite colleges - dim white kids†, argues that the admission policies of most colleges are not usually fair and that more preference is often given to whites from affluent families or those with connections. According to him, students with â€Å"connections† or are from wealthy families obtain entry into colleges and universities selectively through recommendations from wealthy alumni and donors who grant endowments to those educational institutions. Schmidt further argues that the endowments received by educational institutions are also disproportionately distributed. According to him, only 40% of the money from financial aid is being distributed to students having financial need. The remaining is being used for merit-based scholar ships to â€Å"potential recruits who can enhance a college's reputation, or appear likely to cover the rest of their tuition tab and to donate down the road†. As Grossman puts it, â€Å"colleges are like any business for whom â€Å"quality† customers enhance the reputation of the product and attract other customers† (1995). Educational institutions must move on from being mere â€Å"businesses† with vested interests to being cradles of quality education with equal educational opportunities for all. It is seen that merit based scholarships are provided irrespective of the beneficiary’s financial status. Even if a student is wealthy enough to afford his fee, he avails merit-based scholarships based on his exceptional achievements. Other needy students who cannot afford their education