1 Econ 224 and PHDBA279D Description This Course Is Aimed At
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Price Competition with Satisficing Consumers
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Aberdeen University Research Archive Price Competition with Satisficing Consumers∗ Mauro Papiy Abstract The ‘satisficing’ heuristic by Simon (1955) has recently attracted attention both theoretically and experimentally. In this paper I study a price-competition model in which the consumer is satisficing and firms can influence his aspiration price via marketing. Unlike existing models, whether a price comparison is made depends on both pricing and marketing strategies. I fully characterize the unique symmetric equilibrium by investigating the implications of satisficing on various aspects of market competition. The proposed model can help explain well-documented economic phenomena, such as the positive correla- tion between marketing and prices observed in some markets. JEL codes: C79, D03, D43. Keywords: Aspiration Price, Bounded Rationality, Price Competition, Satisficing, Search. ∗This version: August 2017. I would like to thank the Editor of this journal, two anonymous referees, Ed Hopkins, Hans Hvide, Kohei Kawamura, Ran Spiegler, the semi- nar audience at universities of Aberdeen, East Anglia, and Trento, and the participants to the 2015 OLIGO workshop (Madrid) and the 2015 Econometric Society World Congress (Montreal) for their comments. Financial support from the Aberdeen Principal's Excel- lence Fund and the Scottish Institute for Research in Economics is gratefully acknowledged. Any error is my own responsibility. yBusiness School, University of Aberdeen - Edward Wright Building, Dunbar Street, AB24 3QY, Old Aberdeen, Scotland, UK. E-mail address: [email protected]. 1 1 Introduction According to Herbert Simon (1955), in most global models of rational choice, all alternatives are eval- uated before a choice is made. -
Prof. Dr. Armin Falk Biographical Sketch 1998 Phd, University Of
Prof. Dr. Armin Falk Biographical Sketch 1998 PhD, University of Zurich 1998 - 2003 Assistant professor, University of Zurich 2003 - 2005 Lecturer, Central European University (Budapest) 2003 - today Research Director, Institute for the Study of Labor (IZA) 2003 - today Professor of Economics, University of Bonn Affiliations with CESifo, CEPR Research Interests Labor Economics, Behavioral and experimental economics Selected Journal Publications “Fairness Perceptions and Reservation Wages - The Behavioral Effects of Minimum Wage Laws” (with Ernst Fehr and Christian Zehnder), Quarterly Journal of Economic, forthcoming. “Distrust - The Hidden Cost of Control” (with Michael Kosfeld), American Economic Review, forthcoming. “Clean Evidence on Peer Effects” (with Andrea Ichino), Journal of Labor Economics, forthcoming. “A Theory of Reciprocity” (with Urs Fischbacher), Games and Economic Behavior 54 (2), 2006, 293-315. “Driving Forces Behind Informal Sanctions” (with Ernst Fehr and Urs Fischbacher), Econometrica 73 (6), 2005, 2017-2030. “The Success of Job Applications: A New Approach to Program Evaluation” (with Rafael Lalive and Josef Zweimüller), Labour Economics 12 (6), 2005, 739-748. “Choosing the Joneses: Endogenous Goals and Reference Standards” (with Markus Knell), Scandinavian Journal of Economics 106 (3), 2004, 417-435. “Relational Contracts and the Nature of Market Interactions” (with Martin Brown and Ernst Fehr), Econometrica 72, 2004, 747-780. “On the Nature of Fair Behavior” (with Ernst Fehr and Urs Fischbacher), Economic Inquiry 41(1), 2003, 20-26. “Reasons for Conflict - Lessons From Bargaining Experiments” (with Ernst Fehr and Urs Fischbacher), Journal of Institutional and Theoretical Economics 159 (1), 2003, 171-187. “Why Labour Market Experiments?” (with Ernst Fehr), Labour Economics 10, 2003, 399-406. -
Armin Falk IZA and University of Bonn April 2004
I. Introduction Armin Falk IZA and University of Bonn April 2004 Falk: Behavioral Labor Economics: Psychology of Incentives 1/18 This course • Study behavioral effects for labor related outcomes • Empirical studies •Overview – Introduction – Psychology of incentives • Reciprocity and contract enforcement • Dysfunctional effects of explicit incentives • Peer effects • Loss aversion, collusion and sabotage in the presence of tournament incentives – Labor supply – Market behavior • Monopsony and minimum wages • Fairness, efficiency wages and wage rigidities • Incomplete contracts, fairness and the functioning of markets Falk: Behavioral Labor Economics: Psychology of Incentives 2/18 Requirements 1. Take part in the lecture 2. Write a short paper • Either about a summary and discussion of 3 papers • List of topics and papers will be provided • Papers, which are not discussed in this course • Or about a labor economics experiment, which you design, conduct and analyze • Motivation, design, results, discussion • Few observations sufficient • Can also be a field experiment, a theoretical model or the analysis of an existing data set • You can see me and David Huffman to discuss your suggestions Falk: Behavioral Labor Economics: Psychology of Incentives 3/18 Information • Slides can be downloaded – www.iza.org/home/falk • Readers available at IZA Falk: Behavioral Labor Economics: Psychology of Incentives 4/18 Behavioral Economics: From the Nobel Prize laudation “Traditionally, economic theory has relied on the assumption of a "homo œconomicus", whose behavior is governed by self-interest and who is capable of rational decision-making. Economics has also been regarded as a non-experimental science, where researchers – as in astronomy or meteorology – have had to rely exclusively on field data, that is, direct observations of the real world. -
ECON 1820: Behavioral Economics Spring 2015 Brown University Course Description Within Economics, the Standard Model of Be
ECON 1820: Behavioral Economics Spring 2015 Brown University Course Description Within economics, the standard model of behavior is that of a perfectly rational, self interested utility maximizer with unlimited cognitive resources. In many cases, this provides a good approximation to the types of behavior that economists are interested in. However, over the past 30 years, experimental and behavioral economists have documented ways in which the standard model is not just wrong, but is wrong in ways that are important for economic outcomes. Understanding these behaviors, and their implications, is one of the most exciting areas of current economic inquiry. The aim of this course is to provide a grounding in the main areas of study within behavioral economics, including temptation and self control, fairness and reciprocity, reference dependence, bounded rationality and choice under risk and uncertainty. For each area we will study three things: 1. The evidence that indicates that the standard economic model is missing some important behavior 2. The models that have been developed to capture these behaviors 3. Applications of these models to (for example) finance, labor and development economics As well as the standard lectures, homework assignments, exams and so on, you will be asked to participate in economic experiments, the data from which will be used to illustrate some of the principals in the course. There will also be a certain small degree of classroom ‘flipping’, with a portion of many lectures given over to group problem solving. Finally, an integral part of the course will be a research proposal that you must complete by the end of the course, outlining a novel piece of research that you would be interested in doing. -
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. -
Behavioral Economics and Marketing in Aid of Decision Making Among the Poor
Behavioral Economics and Marketing in Aid of Decision Making Among the Poor The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Bertrand, Marianne, Sendhil Mullainathan, and Eldar Shafir. 2006. Behavioral economics and marketing in aid of decision making among the poor. Journal of Public Policy and Marketing 25(1): 8-23. Published Version http://dx.doi.org/10.1509/jppm.25.1.8 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:2962609 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA Behavioral Economics and Marketing in Aid of Decision Making Among the Poor Marianne Bertrand, Sendhil Mullainathan, and Eldar Shafir This article considers several aspects of the economic decision making of the poor from the perspective of behavioral economics, and it focuses on potential contributions from marketing. Among other things, the authors consider some relevant facets of the social and institutional environments in which the poor interact, and they review some behavioral patterns that are likely to arise in these contexts. A behaviorally more informed perspective can help make sense of what might otherwise be considered “puzzles” in the economic comportment of the poor. A behavioral analysis suggests that substantial welfare changes could result from relatively minor policy interventions, and insightful marketing may provide much needed help in the design of such interventions. -
Esther Duflo Wins Clark Medal
Esther Duflo wins Clark medal http://web.mit.edu/newsoffice/2010/duflo-clark-0423.html?tmpl=compon... MIT’s influential poverty researcher heralded as best economist under age 40. Peter Dizikes, MIT News Office April 23, 2010 MIT economist Esther Duflo PhD ‘99, whose influential research has prompted new ways of fighting poverty around the globe, was named winner today of the John Bates Clark medal. Duflo is the second woman to receive the award, which ranks below only the Nobel Prize in prestige within the economics profession and is considered a reliable indicator of future Nobel consideration (about 40 percent of past recipients have won a Nobel). Duflo, a 37-year-old native of France, is the Abdul Esther Duflo, the Abdul Latif Jameel Professor of Poverty Alleviation Latif Jameel Professor of Poverty Alleviation and and Development Economics at MIT, was named the winner of the Development Economics at MIT and a director of 2010 John Bates Clark medal. MIT’s Abdul Latif Jameel Poverty Action Lab Photo - Photo: L. Barry Hetherington (J-PAL). Her work uses randomized field experiments to identify highly specific programs that can alleviate poverty, ranging from low-cost medical treatments to innovative education programs. Duflo, who officially found out about the medal via a phone call earlier today, says she regards the medal as “one for the team,” meaning the many researchers who have contributed to the renewal of development economics. “This is a great honor,” Duflo told MIT News. “Not only for me, but my colleagues and MIT. Development economics has changed radically over the last 10 years, and this is recognition of the work many people are doing.” The American Economic Association, which gives the Clark medal to the top economist under age 40, said Duflo had distinguished herself through “definitive contributions” in the field of development economics. -
Sendhil Mullainathan [email protected]
Sendhil Mullainathan [email protected] _____________________________________________________________________________________ Education HARVARD UNIVERSITY, CAMBRIDGE, MA, 1993-1998 PhD in Economics Dissertation Topic: Essays in Applied Microeconomics Advisors: Drew Fudenberg, Lawrence Katz, and Andrei Shleifer CORNELL UNIVERSITY, ITHACA, NY, 1990-1993 B.A. in Computer Science, Economics, and Mathematics, magna cum laude Fields of Interest Behavioral Economics, Poverty, Applied Econometrics, Machine Learning Professional Affiliations UNIVERSITY OF CHICAGO Roman Family University Professor of Computation and Behavioral Science, January 1, 2019 to present. University Professor, Professor of Computational and Behavioral Science, and George C. Tiao Faculty Fellow, Booth School of Business, July 1, 2018 to December 31, 2018. HARVARD UNIVERSITY Robert C Waggoner Professor of Economics, 2015 to 2018. Affiliate in Computer Science, Harvard John A. Paulson School of Engineering and Applied Sciences, July 1, 2016 to 2018. Professor of Economics, 2004 (September) to 2015. UNIVERSITY OF CHICAGO Visiting Professor, Booth School of Business, 2016-17. MASSACHUSETTS INSTITUTE OF TECHNOLOGY Mark Hyman Jr. Career Development Associate Professor, 2002-2004 Mark Hyman Jr. Career Development Assistant Professor, 2000-2002 Assistant Professor, 1998- 2000 SELECTED AFFILIATIONS Co - Founder and Senior Scientific Director, ideas42 Research Associate, National Bureau of Economic Research Founding Member, Poverty Action Lab Member, American Academy of Arts -
Chapter 4: Conceptual Illusions
CHAPTER 4: CONCEPTUAL ILLUSIONS In this chapter we will consider some fallacies and peculiarities of the way we reason. We’ll briefly consider the fallacy of denying the evidence and then confirmation bias, the paradox of choice, the conjunction fallacy and implicit bias. 1 DENYING THE EVIDENCE My scale is broken. It shows a higher figure every day so I have to keep adjusting it down. 2 CONFIRMATION BIAS "It is the peculiar and perpetual error of the human understanding to be more moved and excited by affirmatives than by negatives." --Francis Bacon Confirmation bias refers to a type of selective thinking whereby one tends to notice and to look for what confirms one's beliefs, and to ignore, not look for, or undervalue the relevance of what contradicts one's beliefs. For example, if you believe that during a full moon there is an increase in admissions to the emergency room where you work, you will take notice of admissions during a full moon, but be inattentive to the moon when admissions occur during other nights of the month. A tendency to do this over time unjustifiably strengthens your belief in the relationship between the full moon and accidents and other lunar effects. 52 This tendency to give more attention and weight to data that support our beliefs than we do to contrary data is especially pernicious when our beliefs are little more than prejudices. If our beliefs are firmly established on solid evidence and valid confirmatory experiments, the tendency to give more attention and weight to data that fit with our beliefs should not lead us astray as a rule. -
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). -
Sendhil Mullainathan Education Fields of Interest Professional
Sendhil Mullainathan Robert C Waggoner Professor of Economics Littauer Center M-18 Harvard University Cambridge, MA 02138 [email protected] 617 496 2720 _____________________________________________________________________________________ Education HARVARD UNIVERSITY, CAMBRIDGE, MA, 1993-1998 PhD in Economics Dissertation Topic: Essays in Applied Microeconomics Advisors: Drew Fudenberg, Lawrence Katz, and Andrei Shleifer CORNELL UNIVERSITY, ITHACA, NY, 1990-1993 B.A. in Computer Science, Economics, and Mathematics, magna cum laude Fields of Interest Behavioral Economics, Poverty, Applied Econometrics, Machine Learning Professional Affiliations HARVARD UNIVERSITY Robert C Waggoner Professor of Economics, 2015 to present. Affiliate in Computer Science, Harvard John A. Paulson School of Engineering and Applied Sciences, July 1, 2016 to present Professor of Economics, 2004 (September) to 2015. UNVIRSITY OF CHICAGO Visiting Professor, Booth School of Business, 2016-17. MASSACHUSETTS INSTITUTE OF TECHNOLOGY Mark Hyman Jr. Career Development Associate Professor, 2002-2004 Mark Hyman Jr. Career Development Assistant Professor, 2000-2002 Assistant Professor, 1998- 2000 SELECTED AFFILIATIONS Co - Founder and Senior Scientific Director, ideas42 Research Associate, National Bureau of Economic Research Founding Member, Poverty Action Lab Member, American Academy of Arts and Sciences Contributing Writer, New York Times Sendhil Mullainathan __________________________________________________________________ Books Scarcity: Why Having Too Little Means So Much, joint with Eldar Shafir, 2013. New York, NY: Times Books Policy and Choice: Public Finance through the Lens of Behavioral Economics, joint with William J Congdon and Jeffrey Kling, 2011. Washington, DC: Brookings Institution Press Work in Progress Machine Learning and Econometrics: Prediction, Estimation and Big Data, joint with Jann Spiess, book manuscript in preparation. “Multiple Hypothesis Testing in Experiments: A Machine Learning Approach,” joint with Jens Ludwig and Jann Spiess, in preparation. -
CORRUPTION Abhijit Banerjee Sendhil Mullainathan Rema Hanna
CORRUPTION Abhijit Banerjee Sendhil Mullainathan Rema Hanna WORKING PAPER 17968 NBER WORKING PAPER SERIES CORRUPTION Abhijit Banerjee Sendhil Mullainathan Rema Hanna Working Paper 17968 http://www.nber.org/papers/w17968 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 April 2012 The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer- reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications. © 2012 by Abhijit Banerjee, Sendhil Mullainathan, and Rema Hanna. All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source. Corruption Abhijit Banerjee, Sendhil Mullainathan, and Rema Hanna NBER Working Paper No. 17968 April 2012 JEL No. D02,O10,O12,O43 ABSTRACT In this paper, we provide a new framework for analyzing corruption in public bureaucracies. The standard way to model corruption is as an example of moral hazard, which then leads to a focus on better monitoring and stricter penalties with the eradication of corruption as the final goal. We propose an alternative approach which emphasizes why corruption arises in the first place. Corruption is modeled as a consequence of the interaction between the underlying task being performed by bureaucrat, the bureaucrat's private incentives and what the principal can observe and control. This allows us to study not just corruption but also other distortions that arise simultaneously with corruption, such as red-tape and ultimately, the quality and efficiency of the public services provided, and how these outcomes vary depending on the specific features of this task.