Portfolio Choice and Risk Attitudes: an Experiment

Total Page:16

File Type:pdf, Size:1020Kb

Portfolio Choice and Risk Attitudes: an Experiment PORTFOLIO CHOICE AND RISK ATTITUDES: AN EXPERIMENT GARY CHARNESS and URI GNEEZY* Using financial incentives, we study how portfolio choice (how much to invest in a risky asset) depends on three well-known behavioral phenomena: ambiguity aversion, the illusion of control, and myopic loss aversion. We find evidence that these phenomena are present and test how the level of investment is affected by these motivations; at the same time, we investigate whether participants are willing to explicitly pay a small sum of money to indulge preferences for less ambiguity, more control, or more frequent feedback/opportunities to choose the investment level. First, the observed preference for ‘‘control’’ did not affect investment behavior and in fact disappeared when participants were asked to actually pay to gain more control. Second, while people were indeed willing to pay for less ambiguity, the level of ambiguity did not influence investment levels. Finally, participants were willing to pay to have more frequent feedback opportunities to change their portfolio, even though prior research has shown that people invest less in risky assets (and earn less) in this case.(JEL B49, C91, D81, G11, G19) I. INTRODUCTION decisions, in recent years a body of empirical evidence suggests that there are systematic Suppose an investor is faced with a decision departures from this behavior. Behavioral concerning how to allocate financial resources finance is concerned with psychological influen- between a risky lottery (asset) with a higher ces in financial decision making and markets. expected return and an asset with a fixed and Investors make decisions while trying to stay guaranteed lower return. Is the choice of port- afloat in a sea of uncertainty; when predictabil- folio independent of preferences outside the standard neoclassical model? In experiments ity is low, people may be prone to unjustified beliefs that may survive and even flourish in with financial incentives, we study how port- such an environment.1 People may resort to folio choice depends on three well-documented ‘‘rules of thumb,’’ on a conscious or subcon- behavioral phenomena: ambiguity aversion, scious level. To the extent that psychological the illusion of control, and myopic loss aver- influences are present, it is economically impor- sion. We also investigate whether participants tant to consider which of these actually affect are willing to explicitly pay a small sum of risk attitudes and portfolio choice. A key issue money to indulge such preferences (pay for is whether any such influences disappear when more perceived control, less ambiguity, or more monetary incentives are present. frequent opportunities to change the portfolio based on feedback about its performance). We pursue a systematic experimental compar- ison of three of the most prominent behavioral While standard finance theory presumes that investors successfully identify and process information relevant to reaching optimal 1. It might seem natural to assume that investors who behave ‘‘irrationally’’ (e.g., do not process information optimally) can be exploited and driven from the market over time; however, several theoretical models (e.g., *We thank Matthew Rabin, Richard Thaler, Martin Benos, 1998; Gervais and Odean, 2001; Hirshleifer and Weber, and seminar participants for their comments Luo, 2001; Kyle and Wang, 1997) demonstrate that, for and suggestions. All errors are our own. example, overconfidence can persist in the long run. Charness: Professor, Department of Economics, Univer- sity of California at Santa Barbara, Santa Barbara, CA 93106-9210. E-mail: [email protected] ABBREVIATION Gneezy: Professor Rady School of Management, Univer- sity of California at San Diego, La Jolla, CA 92093- MLA: Myopic Loss Aversion 0093. E-mail: [email protected] 133 Economic Inquiry doi:10.1111/j.1465-7295.2009.00219.x (ISSN 0095-2583) Online Early publication June 22, 2009 Vol. 48, No. 1, January 2010, 133–146 © 2009 Western Economic Association International 134 ECONOMIC INQUIRY phenomena documented in the literature. The guity, but having less ambiguity does not influ- illusion of control (Langer 1975) is concerned with ence their portfolio choice; finally, in some greater confidence in one’s predictive ability or in cases people are willing to pay money for afavorableoutcomewhenonehasahigherdegree more frequent feedback and opportunities of personal involvement, even when one’s to change their portfolio, but, again, previous involvement is not actually relevant. Ambiguity studies have shown that people invest less aversion (Ellsberg 1961) is the desire to avoid with this additional information and greater unclear circumstances, even when this will not flexibility! increase the expected utility. Myopic loss aversion (Benartzi and Thaler 1995) combines loss aver- sion (Kahneman and Tversky 1979; Tversky II. BACKGROUND and Kahneman 1992) and a tendency to evaluate outcomes frequently. This combination leads In this article, we start with the phenome- investorstobemorewillingtoinvestagreaterpro- non at issue, and ask how it affects financial portion of their portfolio in risky assets if they decisions. We provide simple tests for both evaluate their investments less frequently. the existence of these phenomena in financial We show that these phenomena are present decision making and their persistence in the with monetary incentives and also investigate face of a clear financial disincentive. We whether people are willing to pay money to now discuss these in turn, and review the rel- accommodate such preferences, or whether evant empirical and experimental work. they are closer to the rational model when incentives are present. With the procedure A. Ambiguity Aversion we chose, the willingness to actually pay for such preferences depends on the preference. Knight (1921) distinguishes between risk The great majority of investors pay for less and uncertainty, with risk being quantifiable ambiguity or more frequent feedback/invest- in terms of explicit probabilities. The Savage ment opportunities, but fewer than 10% pay (1954) axioms preclude any role for vagueness to roll a determinative die themselves.2 in a rational theory of choice. The famous We then examine how the preferences Ellsberg (1961) paradox provides persuasive between lotteries in the different treatments examples in which people prefer to bet on affect portfolio choice. We have participants known distributions. In one decision task, allocate their investment capital between an Urn 1 contains 50 red and 50 black balls, asset with a sure return and a risky asset with whereas Urn 2 contains 100 red and black a higher expected rate of return. In fact, there balls in unknown proportions. People prefer is very little variation in investment behavior to make bets with respect to the 50–50 urn. across any of the illusion of control or ambi- Ellsberg argues that it is not only subjective guity aversion treatments. In contrast, the probability that matters, but also the vague- results found in previous experimental studies ness or ambiguity of the event in question of myopic loss aversion suggest that partici- (see Camerer and Weber 1992 for a review pants invest less in their preferred option. of the literature on variations of the Ellsberg The main conclusion we draw from these paradox). This observed behavior is called findings is that the relation between which a paradox because it violates Savage’s axioms. procedure or lottery people prefer, and how Ambiguity aversion has attracted consider- much they are willing to actually invest in this able interest, as it is rare (outside of games of lottery is not trivial at all. People are generally chance) to know precise probabilities when unwilling to pay even small amounts of money buying a security, filing a lawsuit, or choosing to indulge the illusion of control, and it does a graduate program. Yet, evidence is some- not influence their portfolio choice; people are what mixed concerning the effect of ambiguity generally willing to pay money for less ambi- aversion on financial decision making. Heath and Tversky (1991) test whether ambiguity aversion is a factor only in the realm of chance 2. We do not make a general claim regarding these events, or whether it also extends to uncer- preferences and how they survive financial incentives. tainty about knowledge of world events. They We only choose arbitrary parameters for these to investi- gate the relationship between how much a person likes find that people prefer to bet on chance when a lottery and how much he or she is willing to invest in it. they do not feel confident, but prefer to rely on CHARNESS & GNEEZY: PORTFOLIO CHOICE AND RISK ATTITUDES 135 their vague beliefs in situations where they feel active involvement all lead to inflated confi- particularly knowledgeable or confident. Thus, dence beliefs. For example, Langer found that perceived self-confidence or competence can people who were permitted to select their own trump one’s aversion to ambiguity. numbers in a lottery game (hypothetically) Sarin and Weber (1993) test whether ambi- demanded a higher price for their ticket than guity aversion can survive market incentives did people who were assigned random num- and feedback, using market experiments with bers. Since this initial study, many other sealed-bid and double-oral auctions and researchers have found that people often per- sophisticated subjects (graduate business stu- ceive more control than they actually have, dents and bank executives). Each participant make causal
Recommended publications
  • Econ 771.001
    ECON 771: Political Economy of Race and Gender Spring 2018 Dr. Elissa Braunstein Department of Economics, Colorado State University [email protected] Office: C327 Clark Office hours: T 1:00 – 2:00 (or by appointment) Overview I define political economy as “the study of the impact of group identity and collective conflict on the organization of economic activity and its consequences.” Political economy traditions tend to focus on class as a source of identity and group conflict. In this course, we will expand that focus to incorporate other sources of group membership, giving you a broad background in economic approaches to inequality and identity based on race/ethnicity and gender. We will focus primarily on the neoclassical, Marxian political economy and feminist literatures. In addition to learning more about the relationship between group membership and economic structures, we will use the prisms of race and gender to better understand and critique various approaches to economic analysis. And while much of the literature focuses on the U.S. context, I will try to broaden the discussion as often as possible, and encourage students to do the same. I welcome students from other social science disciplines. Although we will cover some advanced material that may be difficult for those who have not completed graduate economics courses, the emphasis will be on the main points, rather than the technical detail. The syllabus includes both required readings (*starred) and supplemental readings/sections as I wanted to give you a more complete sense of the literature if you are interested in looking further into a particular topic.
    [Show full text]
  • Kranton Duke University
    The Devil is in the Details – Implications of Samuel Bowles’ The Moral Economy for economics and policy research October 13 2017 Rachel Kranton Duke University The Moral Economy by Samuel Bowles should be required reading by all graduate students in economics. Indeed, all economists should buy a copy and read it. The book is a stunning, critical discussion of the interplay between economic incentives and preferences. It challenges basic premises of economic theory and questions policy recommendations based on these theories. The book proposes the path forward: designing policy that combines incentives and moral appeals. And, therefore, like such as book should, The Moral Economy leaves us with much work to do. The Moral Economy concerns individual choices and economic policy, particularly microeconomic policies with goals to enhance the collective good. The book takes aim at laws, policies, and business practices that are based on the classic Homo economicus model of individual choice. The book first argues in great detail that policies that follow from the Homo economicus paradigm can backfire. While most economists would now recognize that people are not purely selfish and self-interested, The Moral Economy goes one step further. Incentives can amplify the selfishness of individuals. People might act in more self-interested ways in a system based on incentives and rewards than they would in the absence of such inducements. The Moral Economy warns economists to be especially wary of incentives because social norms, like norms of trust and honesty, are critical to economic activity. The danger is not only of incentives backfiring in a single instance; monetary incentives can generally erode ethical and moral codes and social motivations people can have towards each other.
    [Show full text]
  • Behavioral Economics As Applied to Firms: a Primer1
    Munich Personal RePEc Archive Behavioral economics as applied to firms: a primer Armstrong, Mark and Huck, Steffen University College London (UCL) January 2010 Online at https://mpra.ub.uni-muenchen.de/20356/ MPRA Paper No. 20356, posted 02 Feb 2010 03:16 UTC Behavioral Economics as Applied to Firms: A Primer1 Mark Armstrong and Steffen Huck Department of Economics University College London January 2010 Abstract We discuss the literatures on behavioral economics, bounded rationality and experimental economics as they apply to firm behavior in markets. Topics discussed include the impact of imitative and satisficing behavior by firms, outcomes when managers care about their position relative to peers, the benefits of employing managers whose objective diverges from profit-maximization (including managers who are overconfident or base pricing decisions on sunk costs), the impact of social preferences on the ability to collude, and the incentive for profit-maximizing firms to mimic irrational behavior. 1. Introduction In recent years there has been a good deal of research investigating how poor or non-standard decision making by consumers might affect market outcomes. In much of this work, the assumption is that firms are fully rational and aim to maximize their profits (and sometimes they do this by exploiting the behavioral biases of consumers). Some of this work points to situations where there is a role for policy which protects consumers from their own failings and from exploitative firms.2 In this article we focus instead on non-standard approaches to firm behavior. Consumers are kept in the background, and are present merely to generate in some fashion a demand curve for the firms' products.
    [Show full text]
  • Gender Differences*
    PERFORMANCE INCOMPETITIVE ENVIRONMENTS: GENDER DIFFERENCES* URI GNEEZY MURIEL NIEDERLE ALDO RUSTICHINI Eventhough the provision of equal opportunities for men and women has beena priorityin manycountries, large gender differences prevail in competitive high-rankingpositions. Suggested explanations include discrimination and dif- ferencesin preferencesand human capital. In this paper we present experimental evidencein support of anadditionalfactor: women may be lesseffective than men incompetitive environments, even if they are able to perform similarly in non- competitiveenvironments. In a laboratoryexperiment we observe, as we increase thecompetitiveness of theenvironment, a signicant increasein performancefor men,but not for women. This results in a signicant gendergap inperformance intournaments, while there is no gap whenparticipants are paid according to piecerate. This effect is stronger when women have to compete against men than insingle-sex competitive environments: this suggests that women may be ableto performin competitiveenvironments per se. I. INTRODUCTION Allocationsacross genders of high prole jobs remain largely favorableto men, and area majorfactor in thegender gap in earnings.For example, Bertrand and Hallock[2001] found that only2.5 percentof the vehighestpaid executivesin alargedata setof U.S.rmsare women (for areviewon genderdifferences in wages,see Blau and Kahn [2000]). Thenumerous attempts to explain this fact can beclassi ed intotwo broad categories.The rstexplanation restson gender differences in abilities and pref- erencesand hencein occupationalself-selection [Polachek 1981]. Thesecond class ofexplanations relatesto discrimination in the workplace,which leads todifferential treatmentof men and womenwith equal preferencesand abilities [Black and Strahan 2001; Goldin and Rouse2000; Wennerås and Wold1997]. In this paper wepropose and experimentallytest an addi- tional explanation:women may be less effective than menin competitiveenvironments.
    [Show full text]
  • Blog Addition Gneezy and List
    Women and the Competition Gap By Uri Gneezy and John List You think you know why less than 4% of Fortune 500 CEOs are women? Scholars have theorized for decades about the reasons why women can’t seem to make faster progress in breaking through the glass ceiling. The sad fact is that while women are doing better than men in some areas, such as higher education, men still occupy the highest ranks of society in the United States and around the world. The proportion of women in the U.S. workforce rose from 48 percent in 1970 to 64 percent in 2011,1 but today, only one in five senior management positions are held by women. Some consider these facts as an achievement, since they are the highest in U.S. history. Yet, women are still paid less than men for equivalent jobs. Even in public positions women still have not achieved parity. They still hold fewer than 17 percent of Congressional seats, and about the same percentage of corporate board seats. We’ll try to convince you that an important contributor to this gap in labor market outcomes is the different ways in which men and women react to incentives. In particular, women tend to avoid competitive settings and jobs in which salary is determined by relative rankings. But why do women and men react differently to incentives? And how important is the culture we’re born into in making us more or less competitive? We couldn’t just take for granted, in the absence of data, that women were innately less competitive than men.
    [Show full text]
  • Price Dispersion in the Lab and on the Internet: Theory and Evi- Dence
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Research Papers in Economics Price dispersion in the lab and on the Internet: Theory and evi- dence MichaelR.Baye∗ John Morgan∗∗ Price dispersion is ubiquitous in settings that closely approximate textbook Bertrand competition. We show (Propositions 2 and 3) that only a little bounded rationality among sellers is needed to rationalize such dispersion. A variety of statistical tests, based on data sets from two indepen- dent laboratory experiments and structural estimates of the parameters of our models, suggest that bounded rationality based theories of price dispersion organize the data remarkably well. Evidence is also presented which suggests that the models are consistent with data from a leading Internet price comparison site. *Department of Business Economics and Public Policy, Kelley School of Business, Indiana Univer- sity, Bloomington, IN 47405. Phone: (812) 855-2779. E-mail: [email protected]. ** Haas School of Business and Department of Economics, University of California, Berkeley, CA 94720. Phone: (510) 642-2669. E-mail: [email protected]. We thank the Editor, the referees, and numerous seminar participants for helpful comments on earlier versions of this paper. We are especially grateful to Dilip Abreu, Martin Dufwenberg, Glenn Ellison, Nancy Epling, Ed Glaeser, Uri Gneezy, Paul Klemperer, Dan Kovenock, David Laibson, John Maxwell, Martin Sefton, Dale Stahl, and Abdullah Yavas. The authors thank Nuffield College (University of Oxford), Trinity and Corpus Christi Colleges (University of Cambridge), University of Nottingham, The Hoover Institution, and the University of Bonn for their gracious hospitality and for providing a stimulating environment where some of this work was completed.
    [Show full text]
  • Predictions and Nudges: What Behavioral Economics Has to Offer the Humanities, and Vice-Versa
    Book Review Predictions and Nudges: What Behavioral Economics Has to Offer the Humanities, and Vice-Versa Richard H. Thaler and Cass R. Sunstein, Nudge: Improving Decisions About Health, Wealth, and Happiness. New Haven: Yale University Press, 2008. Pp. 304. $26.00. Dan Ariely, Predictably Irrational: The Hidden Forces That Shape Our Decisions. New York: HarperCollins, 2008. Pp. 280. $25.95. Anne C. Dailey* Peter Siegelman** Rationalists, wearing square hats, Think, in square rooms, Looking at the floor, Looking at the ceiling. They confine themselves To right-angled triangles. If they tried rhomboids, Cones, waving lines, ellipses- As, for example, the ellipse of the half-moon- Rationalists would wear sombreros.1 Evangeline Starr Professor of Law and Associate Dean for Academic Affairs, University of Connecticut School of Law. ** Roger Sherman Professor of Law, University of Connecticut School of Law. We thank Ellen Siegelman for helpful comments. 1. Wallace Stevens, Six Significant Landscapes, VI, HARMONIUM (1916). Yale Journal of Law & the Humanities, Vol. 21, Iss. 2 [2009], Art. 6 Yale Journal of Law & the Humanities [21:2 The informed law and humanities reader can hardly fail to be aware that the field of economics has undergone a "behavioral revolution" over the past several decades, and that this revolution has spilled over into the legal academy. Open an economics journal these days and you are likely to find any number of articles billing themselves as "behavioral" in orientation. Similarly, law reviews are filled with articles bearing titles ranging from "A Behavioral Approach to Law and Economics"'2 to "Harnessing Altruistic Theory and Behavioral Law and Economics to Rein in Executive Salaries" 3 and "Some Lessons for Law from Behavioral Economics About Stockbrokers and Sophisticated Customers.
    [Show full text]
  • Putting Behavioral Economics to Work: Testing for Gift Exchange in Labor Markets Using Field Experiments
    Econometrica, Vol. 74, No. 5 (September, 2006), 1365–1384 PUTTING BEHAVIORAL ECONOMICS TO WORK: TESTING FOR GIFT EXCHANGE IN LABOR MARKETS USING FIELD EXPERIMENTS BY URI GNEEZY AND JOHN A. LIST1 Recent discoveries in behavioral economics have led scholars to question the under- pinnings of neoclassical economics. We use insights gained from one of the most influ- ential lines of behavioral research—gift exchange—in an attempt to maximize worker effort in two quite distinct tasks: data entry for a university library and door-to-door fundraising for a research center. In support of the received literature, our field evi- dence suggests that worker effort in the first few hours on the job is considerably higher in the “gift” treatment than in the “nongift” treatment. After the initial few hours, however, no difference in outcomes is observed, and overall the gift treatment yielded inferior aggregate outcomes for the employer: with the same budget we would have logged more data for our library and raised more money for our research center by using the market-clearing wage rather than by trying to induce greater effort with a gift of higher wages. KEYWORDS: Gift exchange, field experiment. 1. INTRODUCTION NEOCLASSICAL ECONOMICS treats labor as a hired input in much the same manner as capital. Accordingly, in equilibrium, the firm pays market-clearing wages and workers provide minimum effort. The validity of this assumption is not always supported by real-life observations: some employers pay more than the market-clearing wage and workers seemingly invest more effort than nec- essary (Akerlof (1982)). The “fair wage–effort” hypothesis of Akerlof (1982) and Akerlof and Yellen (1988, 1990) extends the neoclassical model to explain higher than market-clearing wages by using a gift exchange model, where “On the worker’s side, the ‘gift’ given is work in excess of the minimum work stan- dard; and on the firm’s side the ‘gift’ given is wages in excess of what these women could receive if they left their current jobs” (Akerlof (1982, p.
    [Show full text]
  • Econ 0040: Behavioural Economics Fall 2020
    Econ 0040: Behavioural Economics Fall 2020 Lecturer information Dr. Zeynep Gurguc E-mail: [email protected] Student feedback hours (online): Thursdays 13:15-14:15 during first term or by appointment & later by appointment. What will you learn about? The purpose of this course is to provide students an overview of research in Behavioural Economics, a field of economics that draws on knowledge in psychology to capture important aspects of human behaviour and social interactions that standard economic models cannot explain. The topics we will cover include: Heuristics and Biases, Decision Making under Uncertainty, Prospect Theory, Reference Dependence, Intertemporal Choice, Social Preferences, Bounded Rationality, Nudge as well as Heterogeneity and Malleability of Preferences. Throughout this course, we will link theory to practice and discuss empirical applications in areas and topics such as consumer choice, saving behaviour, procrastination, education, labour supply, finance and policy making. How will you learn? We will use a mixture of online asynchronous and synchronous content. Each Monday by 11:45 am you will get access to the core materials for the week as well as the tasks. In addition, both your lecturer and your teaching assistant will have regular student support and feedback hours where you can drop in to discuss any issues around this module. Weekly Live Sessions with Dr Gurguc: Wednesdays 11AM-12:30PM. The lectures will be on zoom except for weeks 6, 7, 12 and 14 (i.e. October 7, October 14, November 18 and December 2) when the live lecture will be held face-to-face (F2F). F2F lectures will take place in Wilkins Building (main building), Jeremy Bentham Room.
    [Show full text]
  • Labor Economics I
    Advanced Topics in Labor Economics MIT 14.663 David Autor Spring 2009 MIT E51-151 Lectures: Monday & Wednesday, 10:30am – noon • No lecture on 4/20 (due to institute holiday) and 4/22 due to instructor’s external commitments. • Papers marked with * are likely to be considered in class. All listed papers are relevant. 1. Topic 1: Self-selection and the Labor Market, with Applications to Immigration, the Gender Gap, Medical Treatment, and Sexual Harassment * Basu, Kaushik. “Sexual Harassment in the Workplace: An Economic Analysis with Implications for Worker Rights and Labor Standards Policy.” MIT Department of Economics Working Paper 02-11, February 2002. (available via SSRN). Blau, Francine and Lawrence Kahn (1997), "Swimming Upstream: Trends in the Gender Wage Differential in the 1980s," Journal of Labor Economics 15 (January, Part 1), 1-42. Borjas, George. 1987. “Self-Selection and the Earnings of Immigrants,” American Economic Review, 77(4), 531-553. Borjas, George. 2002. “The Wage Structure and the Sorting of Workers into the Public Sector.” NBER Working Paper No. 9313, November. * Chandra, Amitabh and Douglas Staiger. 2007. “Productivity Spillovers in Health Care: Evidence from the Treatment of Heart Attacks.” Journal of Political Economy, 115(1), February, 103-? * Chiquiar, Daniel and Gordon Hanson. 2005. "International Migration, Self-Selection and the Distribution of Wages," Journal of Political Economy 113 (April), 239-81. C. Goldin. 2006. "The Quiet Revolution that Transformed Women's Employment, Education and Family," American Economic Review (May). Heckman, James J. 1979. “Sample Selection Bias as a Specification Error.” Econometrica, 47(1), January, 153-161. Heckman, James J. and Bo E.
    [Show full text]
  • Dan Ariely Alfred P
    Dan Ariely Alfred P. Sloan Professor of Behavioral Economics Curriculum Vitae [Updated October 2007] Education Duke University, The Fuqua School of Business, Durham, NC Ph.D., Business Administration, August 1998. University of North Carolina, Chapel Hill, NC Ph.D., Cognitive Psychology, August 1996 University of North Carolina, Chapel Hill, NC M.A., Cognitive Psychology, August 1994 Tel Aviv University, Tel Aviv, Israel B.A., Psychology, June 1991 Personal Convincing Sumi to marry me Achievements Amit (2002) Neta (2006) Employment 2007 – Current: Duke University, Fuqua School of Business & The Center for Cognitive Neuroscience (visiting Professor) 1998 – Current: MIT, Sloan School of Management & the Media Laboratory Other 2001-2002: University of California at Berkeley appointments 2004 (Summer): The Center for Advanced Studies in the Behavioral Sciences, Stanford 2005-2007: The Institute for Advanced Study, Princeton Published Dan Ariely (Forthcoming) “Customers’ Revenge 2.0” Harvard Business Papers Review. Dan Ariely and Michael Norton. (Forthcoming) “Psychology and Experimental Economics: A Gap in Abstraction” Current Directions in Psychological Science. Jeana Frost, Zoë Chance, Michael Norton and Dan Ariely. (Forthcoming) “People are Experience Goods: Improving Online Dating with Virtual Dates” Journal of Interactive Marketing. Ariely CV - 1 - Dan Ariely, Emir Kamenica and Drazen Prelec. (Forthcoming) “Man’s Search for Meaning: The Case of Legos.” Journal of Economic Behavior and Organization. Kristina Shampan’er and Dan Ariely. (Forthcoming) “How Small is Zero Price? The True Value of Free Products.” Marketing Science. Uri Simonsohn, Niklas Karlsson, George Loewenstein and Dan Ariely. (Forthcoming) “The Tree of Experience in the Forest of Information: Overweighing Personal Relative to Vicarious Experience.” Organizational Behavior and Human Decision Processes.
    [Show full text]
  • The Behavioral Economics Guide 2019
    ISSN 2398-2020 THE BEHAVIORAL ECONOMICS GUIDE 2019 $ $ Introduction by Uri Gneezy Edited by Alain Samson behavioraleconomics.com The Behavioral Economics Guide 2019 ISSN 2398-2020 Author information: Alain Samson (Editor) Uri Gneezy (Introduction) Nina Mažar (Guest editorial) Rabya A. AlFadl (Aboab & Co), Kristen Berman (Irrational Labs), Anne Charon (BVA Nudge Unit), Benny Cheung (Decision Technology), Torben Emmerling (Affective Advisory), Antonio M. Espín (Behave4), Jessica Exton (ING), Maria Ferreira (ING), Gregory Gadzinski (Panthera Solutions), Tim Gohmann (Behavioral Science Lab), Evelyn Gosnell (Irrational Labs), Wiam A. Hasanain (Aboab & Co), Christian Hunt, Abbie Letherby (Decision Technology), Ulf Löwenhav (Aalto Capital Group), Jenic Mantashian (BVA Nudge Unit), Joseph Marks (Influence At Work), Stephen Martin (Influence At Work), Jaime Martínez-Brocal (Behave4), Roger Miles (BP&E Global), Shabnam Mousavi (Panthera Solutions), Ed Nottingham (Decision Technology), Elizabeth Nyamayaro (UN Women), David Pascual-Ezama (Behave4), Francisco Reyes (Behave4), Markus Schuller (Panthera Solutions), Laura Straeter (ING), Roos van den Wijngaard (ING) (Contributing authors) Editorial assistant: Andreas Haberl Cover image: Kiran Sandhu Published on www.behavioraleconomics.com by Behavioral Science Solutions Ltd With Further Support By Copyright © by the authors All rights reserved Requests for permission to reproduce materials from this work should be sent to [email protected] or directly to contributing authors Suggested citation: Samson, A. (Ed.)(2019). The Behavioral Economics Guide 2019 (with an Introduction by Uri Gneezy). Retrieved from https://www.behavioraleconomics.com. Suggested citation for individual sections/authors: [Author(s)] (2019). [Chapter/Section Title]. In A. Samson (Ed.), The Behavioral Economics Guide 2019 (with an Introduction by Uri Gneezy) (pp. nnn-nnn). Retrieved from https://www.
    [Show full text]