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When Does Behavioural Economics Really Matter?
When does behavioural economics really matter? Ian McAuley, University of Canberra and Centre for Policy Development (www.cpd.org.au) Paper to accompany presentation to Behavioural Economics stream at Australian Economic Forum, August 2010. Summary Behavioural economics integrates the formal study of psychology, including social psychology, into economics. Its empirical base helps policy makers in understanding how economic actors behave in response to incentives in market transactions and in response to policy interventions. This paper commences with a short description of how behavioural economics fits into the general discipline of economics. The next section outlines the development of behavioural economics, including its development from considerations of individual psychology into the fields of neurology, social psychology and anthropology. It covers developments in general terms; there are excellent and by now well-known detailed descriptions of the specific findings of behavioural economics. The final section examines seven contemporary public policy issues with suggestions on how behavioural economics may help develop sound policy. In some cases Australian policy advisers are already using the findings of behavioural economics to advantage. It matters most of the time In public policy there is nothing novel about behavioural economics, but for a long time it has tended to be ignored in formal texts. Like Molière’s Monsieur Jourdain who was surprised to find he had been speaking prose all his life, economists have long been guided by implicit knowledge of behavioural economics, particularly in macroeconomics. Keynes, for example, understood perfectly the “money illusion” – people’s tendency to think of money in nominal rather than real terms – in his solution to unemployment. -
Property in Housing Lee Anne Fennell
University of Chicago Law School Chicago Unbound Kreisman Working Paper Series in Housing Law and Working Papers Policy 2013 Property in Housing Lee Anne Fennell Follow this and additional works at: https://chicagounbound.uchicago.edu/ housing_law_and_policy Part of the Law Commons Chicago Unbound includes both works in progress and final versions of articles. Please be aware that a more recent version of this article may be available on Chicago Unbound, SSRN or elsewhere. Recommended Citation Lee Anne Fennell, "Property in Housing" (Kreisman Working Papers Series in Housing Law and Policy No. 13, 2013). This Working Paper is brought to you for free and open access by the Working Papers at Chicago Unbound. It has been accepted for inclusion in Kreisman Working Paper Series in Housing Law and Policy by an authorized administrator of Chicago Unbound. For more information, please contact [email protected]. CHICAGO PUBLIC LAW AND LEGAL THEORY WORKING PAPER NO. 426 KREISMAN WORKING PAPER ON HOUSING LAW AND POLICY NO. 13 PROPERTY IN HOUSING Lee Anne Fennell THE LAW SCHOOL THE UNIVERSITY OF CHICAGO April 2013 This paper can be downloaded without charge at the Public Law and Legal Theory Working Paper Series: http://www.law.uchicago.edu/academics/publiclaw/index.html and The Social Science Research Network Electronic Paper Collection. Academia Sinica Law Journal No. 12 March 2013 Property in Housing Lee Anne Fennell Suggested citation format: Footnote: Lee Anne Fennell, Property in Housing , 12 ACADEMIA SINICA L.J. 31, 31-78 (2013). Reference : Fennell, Lee Anne. 2013. Property in Housing. Academia Sinica Law Journal 12:31-78. -
Mindful Economics: the Production, Consumption, and Value of Beliefs
Journal of Economic Perspectives—Volume 30, Number 3—Summer 2016—Pages 141–164 Mindful Economics: The Production, Consumption, and Value of Beliefs Roland Bénabou and Jean Tirole n the economic models of old, agents had backward-looking expectations, arising from simple extrapolation or error-correction rules. Then came the I rational-expectations revolution in macroeconomics, and in microeconomics the spread and increasing refinements of modern game theory. Agents were now highly sophisticated information processors, who could not be systematically fooled. This approach reigned for several decades until the pendulum swung back with the rise of behavioral economics and its emphasis on “heuristics and biases” (as in Tversky and Kahneman 1974). Overconfidence, confirmation bias, distorted prob- ability weights, and a host of other “wired-in” cognitive mistakes are now common assumptions in many areas of economics. Over the last decade or so, the pendulum has started to swing again toward some form of adaptiveness, or at least implicit purposefulness, in human cognition. In this paper, we provide a perspective into the main ideas and findings emerging from the growing literature on motivated beliefs and reasoning. This perspec- tive emphasizes that beliefs often fulfill important psychological and functional needs of the individual. Economically relevant examples include confidence in ones’ abilities, moral self-esteem, hope and anxiety reduction, social identity, polit- ical ideology and religious faith. People thus hold certain beliefs in part because ■ Roland Bénabou is Theodore A. Wells ‘29 Professor of Economics and Public Affairs, Princ- eton University, Princeton, New Jersey and a Senior Fellow, Canadian Institute for Advanced Research, Toronto, Canada. -
A Quantitative Theory of Political Transitions∗
A Quantitative Theory of Political Transitions∗ Lukas Buchheimy Robert Ulbrichtz August 28, 2019 Abstract We develop a quantitative theory of repeated political transitions driven by revolts and reforms. In the model, the beliefs of disenfranchised citizens play a key role in determining revolutionary pressure, which in interaction with preemptive reforms determine regime dynamics. We study the quantitative implications of the model by fitting it to data on the universe of political regimes existing between 1946 and 2010. The estimated model generates a process of political transitions that looks remarkably close to the data, replicating the empirical shape of transition hazards, the frequency of revolts relative to reforms, the distribution of newly established regime types after revolts and reforms, and the unconditional distribution over regime types. Keywords: Democratic reforms, quantitative political economy, regime dynamics, revolts, transition hazards. JEL Classification: D74, D78, P16. ∗This paper supersedes an earlier working paper titled \Dynamics of Political Systems." We would like to thank the managing editor, Mich`eleTertilt, four anonymous referees, Daron Acemoglu, Toke Aidt, Matthias Doepke, Christian Hellwig, Johannes Maier, Uwe Sunde, and various seminar and conference participants for valuable comments and suggestions. yLMU Munich, Schackstr 4/IV, 80539 Munich, Germany. E-mail: [email protected]. zBoston College, 140 Commonwealth Avenue, Chestnut Hill, MA 02467. E-mail: [email protected]. 1 Introduction This paper develops a quantitative theory of political transitions based on the evolution of beliefs regarding the regime's strength. Traditionally, the literature has focused on explaining specific patterns of regime changes, focusing on isolated transition episodes.1 In this paper, we shift the focus to a macro perspective, aiming to account for a number of stylized facts in a unified framework. -
Memory, Attention, and Choice
Memory, Attention, and Choice Pedro Bordalo, Nicola Gennaioli, Andrei Shleifer1 Revised May 7, 2019 (original version 2015) Abstract. Building on the textbook description of associative memory (Kahana 2012), we present a model of choice in which options cue recall of similar past experiences. Recall shapes valuation and choice in two ways. First, recalled experiences form a norm, which serves as an initial anchor for valuation. Second, salient quality and price surprises relative to the norm lead to large adjustments in valuation. The model provides a unified account of many well documented choice puzzles including experience effects, projection and attribution biases, background contrast effects, and context- dependent willingness to pay. The results suggest that well-established psychological processes – memory-based norms and attention to surprising features – are key to understanding decision-making. 1 The authors are from University of Oxford, Universita Bocconi, and Harvard University, respectively. We are grateful to Dan Benjamin, Paulo Costa, Ben Enke, Matt Gentzkow, Sam Gershman, Thomas Graeber, Michael Kahana, Spencer Kwon, George Loewenstein, Sendhil Mullainathan, Josh Schwartzstein, Jesse Shapiro, Jann Spiess, Linh To, and Pierre- Luc Vautrey for valuable comments. Shleifer thanks the Sloan Foundation and the Pershing Square Venture Fund for Research on the Foundations of Human Behavior for financial support. 1 1. Introduction Memory appears to play a central role in even the simplest choices. Consider a thirsty traveler thinking of whether to look for a shop to buy a bottle of water at the airport. He automatically retrieves from memory similar past experiences, including the pleasure of quenching his thirst and the prices he paid before, and decides based on these recollections. -
Patience and Comparative Development*
Patience and Comparative Development* Thomas Dohmen Benjamin Enke Armin Falk David Huffman Uwe Sunde May 29, 2018 Abstract This paper studies the role of heterogeneity in patience for comparative devel- opment. The empirical analysis is based on a simple OLG model in which patience drives the accumulation of physical capital, human capital, productivity improve- ments, and hence income. Based on a globally representative dataset on patience in 76 countries, we study the implications of the model through a combination of reduced-form estimations and simulations. In the data, patience is strongly corre- lated with income levels, income growth, and the accumulation of physical capital, human capital, and productivity. These relationships hold across countries, sub- national regions, and individuals. In the reduced-form analyses, the quantitative magnitude of the relationship between patience and income strongly increases in the level of aggregation. A simple parameterized version of the model generates comparable aggregation effects as a result of production complementarities and equilibrium effects, and illustrates that variation in preference endowments can account for a considerable part of the observed variation in per capita income. JEL classification: D03, D90, O10, O30, O40. Keywords: Patience; comparative development; factor accumulation. *Armin Falk acknowledges financial support from the European Research Council through ERC # 209214. Dohmen, Falk: University of Bonn, Department of Economics; [email protected], [email protected]. Enke: Harvard University, Department of Economics; [email protected]. Huffman: University of Pittsburgh, Department of Economics; huff[email protected]. Sunde: University of Munich, Department of Economics; [email protected]. 1 Introduction A long stream of research in development accounting has documented that both pro- duction factors and productivity play an important role in explaining cross-country income differences (Hall and Jones, 1999; Caselli, 2005; Hsieh and Klenow, 2010). -
Did We Overestimate the Role of Social Preferences? the Case of Self-Selected Student Samples
Did we overestimate the role of social preferences? The case of self-selected student samples Armin Falk,∗ Stephan Meier,y and Christian Zehnderz July 13, 2010 Abstract Social preference research has fundamentally changed the way economists think about many important economic and social phenomena. However, the em- pirical foundation of social preferences is largely based on laboratory experiments with self-selected students as participants. This is potentially problematic as students participating in experiments may behave systematically different than non-participating students or non-students. In this paper we empirically inves- tigate whether laboratory experiments with student samples misrepresent the importance of social preferences. Our first study shows that students who ex- hibit stronger prosocial inclinations in an unrelated field donation are not more likely to participate in experiments. This suggests that self-selection of more prosocial students into experiments is not a major issue. Our second study com- pares behavior of students and the general population in a trust experiment. We find very similar behavioral patterns for the two groups. If anything, the level of reciprocation seems higher among non-students implying an even greater importance of social preferences than assumed from student samples. Keywords: methodology, selection, experiments, prosocial behavior JEL: C90, D03 ∗University of Bonn, Department of Economics, Adenauerallee 24-42, D-53113 Bonn; [email protected]. yColumbia University, Graduate School of Business, 710 Uris Hall, 3022 Broadway, New York, NY 10027; [email protected]. zUniversity of Lausanne, Faculty of Business and Economics, Quartier UNIL-Dorigny, Internef 612, CH-1015 Lausanne; [email protected]. 1 1 Introduction Social preferences such as trust and reciprocity play an increasingly important role in economics. -
An Economic Sociological Look at Economics
An Economic Sociologial Look at Economics 5 An Economic Sociological Look at Economics By Patrik Aspers, Sebastian Kohl, Jesper an impact on essentially all strands of economics over the Roine, and Philipp Wichardt 1 past decades. The fact that game theory is not (only) a subfield but a basis for studying strategic interaction in Introduction general – where ‘strategic’ does not always imply full ra- tionality – has made it an integral part of most subfields in New economic sociology can be viewed as an answer to economics. This does not mean that all fields explicitly use economic imperialism (Beckert 2007:6). In the early phase game theory, but that there is a different appreciation of of new economic sociology, it was common to compare or the importance of the effects (strategically, socially or oth- debate the difference between economics and sociology. erwise) that actors have on one another in most fields of The first edition of the Handbook of Economic Sociology economics and this, together with other developments, (Smelser/Swedberg 1994:4) included a table which com- has brought economics closer to economic sociology. pared “economic sociology” and “main-stream econom- ics,” which is not to be found in the second edition (Smel- Another point, which is often missed, is the impact of the ser/Swedberg 2005). Though the deletion of this table was increase in computational power that the introduction of due to limited space, one can also see it as an indication of computers has had on everyday economic research. The a gradual shift within economic sociology over this pe- ease by which very large data materials can be analyzed riod.2 has definitely shifted mainstream economics away from “pure theory” toward testing of theories with more of a That economic sociology, as economic anthropology, was premium being placed on unique data sets, often collected defined in relation to economics is perhaps natural since by the analyst. -
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. -
Edited by Alain Samson with a Foreword by George Loewenstein
Edited by Alain Samson With a Foreword by George Loewenstein and Rory Sutherland The Behavioral Economics Guide 2014 1st Edition Author information: Alain Samson (Editor) George Loewenstein (Foreword) Rory Sutherland (Foreword) Phil Barden, Francesco Bogliacino, Leigh Caldwell, Cristiano Codagnone, Tom Ewing, Gerhard Fehr, George Gaskell,, Asit Gupta, Elina Halonen, Juliet Hodges, Moritz Jäger, Alain Kamm, John Kearon, Francisco Lupiáñez-Villanueva, Henry Stott, Giuseppe A. Veltri (Contributing authors) Design and layout by Elina Halonen. Cover design adapted from Tilly Patsalis. Proofing by Mark Jones and Leigh Caldwell. 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.)(2014). The Behavioral Economics Guide 2014 (with a foreword by George Loewenstein and Rory Sutherland) (1st ed.). Retrieved from http://www.behavioraleconomics.com. Suggested citation for individual sections/authors: [Author(s)] (2014). [Chapter/Section Title]. In A. Samson (Ed.), The Behavioral Economics Guide 2014 (with a foreword by George Loewenstein and Rory Sutherland) (1st ed.)(pp. nn-nn). Retrieved from http://www.behavioraleconomics.com. II Behavioral Economics Guide – 2014 With Contributions By: III Behavioral Economics Guide – 2014 Contents FOREWORD George Loewenstein and Rory Sutherland: An Exchange ............................................................................................................................... -
David Huffman 416 N
DAVID HUFFMAN 416 N. Chester Rd., Apt. 2 Swarthmore, PA 19081 E-mail: [email protected] Webpage: http://www.swarthmore.edu/x28019.xml PERSONAL Birth Date: April 4th, 1974 Citizenship: USA EMPLOYMENT SINCE PH.D. Associate Professor (with tenure), Swarthmore College February 2012 – Present Assistant Professor, Swarthmore College January 2008 – February 2013 IZA Senior Research Associate 2006 – 2007 Deputy Director, Behavioral and Personnel Economics Program Area IZA Laboratory Coordinator IZA Research Associate 2003 – 2006 EDITORIAL POSITIONS Associate Editor for Management Science January 2013 – present EDUCATION University of California, Berkeley Ph.D. Economics 2003 Primary Fields: Behavioral economics, labor economics, applied microeconomics. Dissertation Advisor: Professor George Akerlof Oberlin College, Oberlin Ohio B.A., magna cum laude in Economics 1996 PUBLICATIONS “Implicit Contracts, Unemployment, and Market Segmentation” IZA Discussion Paper, No. 5001 (with Steffen Altmann, Armin Falk, and Andreas Grunewald), forthcoming in Review of Economic Studies. “When a Nudge isn’t Enough: A Field Test of the Power of Defaults to Influence Savings of Low- Income Tax Filers”, NBER Working Paper, No. 16887 (with Erin Bronchetti, Thomas Dee, and Ellen Magenheim), forthcoming in National Tax Journal. “Validating an Ultra-Short Survey Measure of Impatience”, forthcoming in Economics Letters (with Thomas Dohment, Armin Falk, Jürgen Schupp, Uwe Sunde, Thomas Vischer, and Gert Wagner). “Competition Between Organizational Groups: Its Impact on Altruistic and Antisocial Motivations”, Management Science, 2012, 58(5), 948–960 (with Lorenz Goette, Stephan Meier, and Matthias Sutter). “The Impact of Social Ties on Group Interactions: Evidence from Minimal Groups and Randomly Assigned Real Groups”, American Economic Journal: Microeconomics, 2012, 4(1), 101–115 (with Lorenz Goette and Stephan Meier). -
14.160: Behavioral Economics Syllabus – Fall 2017 Thurs 4:00 to 7:00 Pm E51-361
14.160: Behavioral Economics Syllabus – Fall 2017 Thurs 4:00 to 7:00 pm E51-361 Instructors: Frank Schilbach, E52-560 Email: [email protected] Office hours: Sign up at http://economics.mit.edu/faculty/fschilb/office Gautam Rao, E52-540 Email: [email protected] Office hours: By appointment Graduate Teaching Assistant: Chishio Furukawa Email: [email protected] Recitation: Fri 10:30-11:30am, E52-324 Office hours: TBA Course overview: This class covers recent topics in behavioral economics, with an emphasis on empirical applications and tests. Topics include deviations from the standard neoclassical model in terms of (i) preferences (time and risk preferences, reference dependence, and social preferences), (ii) beliefs and learning (overconfidence, projection bias, and attribution bias), and (iii) decision-making (cognition, attention, framing, and persuasion), as well as (iv) market reactions to such deviations. Applications will cover a wide range of fields, including labor and public economics, industrial organization, health economics, finance, and development economics. The main course objectives are as follows: 1) Obtain exposure to the frontier of empirical research in behavioral economics 2) Learn how to critically assess a rapidly evolving literature and how to develop novel ideas that contribute to it 3) Learn how to test (behavioral) economic theory using field experiments and non- experimental data 4) Develop and present a research proposal, as well as give feedback to others The course is designed for first- and second-year PhD students in economics. It is meant to help launch students into conducting empirical research in behavioral economics, or to incorporate behavioral economics into their research in other fields.