Connections in Transportation Department of Urban Studies and Planning, MIT, Spring 2015

Total Page:16

File Type:pdf, Size:1020Kb

Connections in Transportation Department of Urban Studies and Planning, MIT, Spring 2015 Behavior and Policy 11.478 Behavior and Policy: Connections in Transportation Department of Urban Studies and Planning, MIT, Spring 2015 Full Reading List Part I: Behavior and Policy in a Nutshell Class 1. Cafeteria Trays and Multiple Frameworks • Etheredge (1976) The case of the unreturned cafeteria trays: An Investigation based upon theories of motivation and human behavior Class 2. Ten Instruments for Behavioral Change • Miller and Prentice (2013) Psychological Levers of Behavior Change, Chapter 17 in Eldar Shafir, The Behavioral Foundations of Public Policy • Richard Thaler, Cass R. Sunstein: Nudge: Improving Decisions About Health, Wealth, and Happiness, Introduction • Daniel Kahneman: Thinking, Fast and Slow, Introduction Class 3. Measurement, Tools and Technology (Emile Bruneau) • Emile Bruneau 2015 "Putting Neuroscience to Work for Peace”, Working Paper • Duflo, E., Glennerster, R., & Kremer, M. (2007). Using randomization in development economics research: A toolkit. Handbook of development economics, 4, 3895-3962. • Greenwald, A. G., Nosek, B. A., & Banaji, M. R. (2003). Understanding and using the implicit association test: I. An improved scoring algorithm. Journal of personality and social psychology, 85(2), 197. You may try the Implicit Association Test here https://implicit.harvard.edu/ • Winter Mason and Siddharth Suri (2012) Conducting Behavioural Research on Amazon’s Mech Turk, Behavior Research Method 44(1) Class 4. My Brain at the Bus Stop: EEG & Waiting • Dan Ariely and Gregory S. Berns (2010), “Neuromarketing: The Hope and Hype of Neuroimaging in Business.” Nature Reviews Neuroscience. • Li, Zelin, F. Duarte, J. Zhao, Z. Zhao (2015) My brain at the bus stop: an exploratory framework for applying EEG-based emotion detection techniques in transportation study, working paper Class 5. Behavioral Foundation of Public Policy (Madrian) • Madrian, B. C. (2014). Applying Insights From Behavioral Economics To Policy Design. Annual review of economics, 6, 663. • Eldar Shafir (2013) The Behavioral Foundations of Public Policy, Chapter 26. Behaviorally Informed Regulation • Eldar Shafir (2013) The Behavioral Foundations of Public Policy, Forward, Introduction 1 Behavior and Policy Part II: Behavioral Theory: Simon, Thaler, Kahneman Class 6. Choice Architecture: Nudges and Nudging • Thaler, Richard H. "From Homo Economicus to Homo Sapiens." Journal of Economics Perspectives 14, (2000): 133-141. • Richard Thaler and Cass Sunstein (2008) Nudge: Improving Decisions About Health, Wealth, and Happiness, Chapter 4 When do We Need a Nudge, Chapter 5 Choice Architecture • Jinhua Zhao and Tim Baird (2013) ‘Nudging’ Active Travel: A Framework For Behavioral Interventions Using Mobile Technology Class 7. Bounded Rationality • Amos Tversky; Daniel Kahneman (1974) Judgment under Uncertainty: Heuristics and Biases, Science, Vol. 185, No. 4157. • Simon (1955). "A Behavioral Model of Rational Choice." Quarterly Journal of Economics, 69(1) • Simon, H. A. (1956). Rational choice and the structure of the environment. Psychological review, 63(2), 129 Class 8. Prospect Theory • Kahneman, Daniel, and Amos Tversky. Prospect Theory: An Analysis of Decision Under Risk". Econometrica. XLVII (1979): 263-291. • Kahneman, Daniel; Tversky, Amos (1984) Choices, values, and frames, American Psychologist, Vol 39(4) • Tversky, A., & Kahneman, D. (1992). Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and uncertainty, 5(4), 297-323. • Kahneman (2003) Maps of Bounded Rationality: Psychology for Behavioral Economics, American Economic Review 93(5) Part III: Time, Space and Information Class 9. Reinterpreting Time: Dali and Einstein • Raghubir et al (2011) Spatial categorization and time perception: Why does it take less time to get home? Journal of Consumer Psychology 21 • Schiffman, H. R. (1990). Sensation and perception: An integrated approach . John Wiley & Sons. Chapter 19: The Perception of Time • Allman, M. J., Teki, S., Griffiths, T. D., & Meck, W. H. (2014). Properties of the internal clock: first-and second-order principles of subjective time. Annual review of psychology, 65, 743-771. • Einstein, A. (1905). On the electrodynamics of moving bodies. Annalen der Physik, 17(891), 50. Class 10. Is Travel Time Wasted? ICT, Transit and Driverless Cars 2 Behavior and Policy • Mokhtarian and Salomon 2001, How derived is the demand for travel? Some conceptual and measurement considerations, Transportation Research Part A: 35 (8) • RAND 2014 Autonomous Vehicle Technology: A Guide for Policymakers • Guo, Z, A. Derian, and J. Zhao (2014) Smart Devices and Travel Time Use by Bus Passengers in Vancouver, International Journal of Sustainable Transportation • Aliaksandr Malokin, Giovanni Circella, and Patricia L. Mokhtarian 2015 “How Do Activities Conducted while Commuting Influence Mode Choice? Testing Transit- Advantage and Autonomous-Vehicle Scenarios”, working paper Class 11. Power of Information and Nudging with Maps • Guo 2011 Mind the Map! Impact of Transit Maps on Travel Decisions in Public Transit Systems, Transportation Research Part A 45(7) • Eran Ben-Elia & Erel Avineri (2015): Response to Travel Information: A Behavioural Review, Transport Reviews • Dziekan and Kottenhoff 2007 Dynamic at-stop real-time information displays for public transport: effects on customers, Transportation Research Part A 41 • Watkins, F. et al 2011 Where Is My Bus? Impact of mobile real-time information on the perceived and actual wait time of transit riders, Transportation Research Part A 45 Part IV: Policy Design I Class 12. Salience in Transportation Pricing • Finkelstein, A. (2009) E-ztax: Tax salience and tax rates. Quarterly Journal of Economics 124 (3): 969-1010. doi: 10.1162/qjec.2009.124.3.969 • Michel, A., & Zhao, J. (2015). Modeling Saliency in Transportation Pricing: Optimal Mixture of Automobile Management Policies. In Transportation Research Board 94th Annual Meeting (No. 15-1133). • Kristina Shampanier, Nina Mazar, and Dan Ariely (2007), “Zero as a Special Price: The True Value of Free Products.” Marketing Science. Vol. 26, No. 6: 742-757. Class 13. Decision by Default: Active Choosing or Default Rules • Sunstein, Cass (2014) Active Choosing or Default Rules? The Policymaker's Dilemma http://dx.doi.org/10.2139/ssrn.2437421 • Johnson, E. J., & Goldstein, D. G. (2003). Do defaults save lives?. Science, 302, 1338- 1339. • Cass R. Sunstein, Deciding By Default, UPenn Law Review (2013) Class 14. Reference Class Forecasting and Transportation Planning as Preference Shaping • Flyvbjerg, B. (2008). Curbing optimism bias and strategic misrepresentation in planning: Reference class forecasting in practice. European Planning Studies, 16(1), 3- 21. 3 Behavior and Policy • Buehler, R., Griffin, D., & Peetz, J. (2010). Chapter 1: the planning fallacy: cognitive, motivational, and social origins. Advances in experimental social psychology, 43, 1-62. • Siemiatycki, M. (2009). Academics and Auditors Comparing Perspectives on Transportation Project Cost Overruns. Journal of Planning Education and Research, 29(2), 142-156. • Zhao, J. (2009). Preference accommodating and preference shaping: incorporating traveler preferences into transportation planning (Doctoral dissertation, Massachusetts Institute of Technology). Part V: Emotion and Transport Policy Class 15. Happiness: Experience or Memory • Daniel Kahneman: Thinking, Fast and Slow, Part V. Two Selves • Kahneman, D. (2000). Experienced utility and objective happiness: A moment-based approach. Choices, values, and frames, 673-692. • Lazarus, R. S. (1996). Passion and reason: Making sense of our emotions. Oxford University Press. • Diener, E., Scollon, C. N., & Lucas, R. E. (2003). The evolving concept of subjective well-being: The multifaceted nature of happiness. Advances in cell aging and gerontology, 15, 187-219. • Kringelbach, M. L., & Berridge, K. C. (2009). Towards a functional neuroanatomy of pleasure and happiness. Trends in cognitive sciences, 13(11), 479-487. • Abou-Zeid et al 2012 Happiness and travel mode switching: Findings from a Swiss public transportation experiment, Transport Policy 19 (1) Class 16. Emotion and Urban Planning (Thompson) • Dan Ariely, Predictably Irrational, Chapter 6 The Influence of Arousal • Welch, D. D. (1997). Ruling with the heart: Emotion-based public policy. S. Cal. Interdisc. LJ, 6, 55. • Barbalet, J. M. (2001). Chatper 2, Emotion and Rationality, in Emotion, social theory, and social structure: A macrosociological approach. Cambridge University Press. • Barbalet, J. M. (2001). Chatper 4, Action and confidence, in Emotion, social theory, and social structure: A macrosociological approach. Cambridge University Press. Class 17. Car Pride, Bicycle Decline and Failure of Life • Zhao and Zhao (2015) Understanding Car Pride: Psychological Structure and Behavioral Implications, Working Paper • Ming Yang, Maggie Wang, Jinhua Zhao and John Zacharias 2015 The Rise and Decline of the Bicycle in Beijing, Transport Reviews, Under Review Part VI: Is Travel Social Class 18. Social Influencing System (Stibe) 4 Behavior and Policy • Agnis Stibe 2014 Socially Influencing Systems: Persuading People To Engage With Publicly Displayed Twitter-Based Systems, Doctoral Dissertation • Ariely, D., Bracha, A., & Meier, S. (2009). Doing good or doing well? Image motivation and monetary incentives in behaving prosocially. The American Economic Review, 544-555. • Eldar Shafir (2013) The Behavioral Foundations of Public Policy, Chapter 4. The Psychology of Cooperation •
Recommended publications
  • Economics & Finance 2011
    Economics & Finance 2011 press.princeton.edu Contents General Interest 1 Economic Theory & Research 15 Game Theory 18 Finance 19 Econometrics, Mathematical & Applied Economics 24 Innovation & Entrepreneurship 26 Political Economy, Trade & Development 27 Public Policy 30 Economic History & History of Economics 31 Economic Sociology & Related Interest 36 Economics of Education 42 Classic Textbooks 43 Index/Order Form 44 TEXT Professors who wish to consider a book from this catalog for course use may request an examination copy. For more information please visit: press.princeton.edu/class.html New Winner of the 2010 Business Book of the Year Award, Financial Times/Goldman Sachs Fault Lines How Hidden Fractures Still Threaten the World Economy Raghuram G. Rajan “What caused the crisis? . There is an embarrassment of causes— especially embarrassing when you recall how few people saw where they might lead. Raghuram Rajan . was one of the few to sound an alarm before 2007. That gives his novel and sometimes surprising thesis added authority. He argues in his excellent new book that the roots of the calamity go wider and deeper still.” —Clive Crook, Financial Times Raghuram G. Rajan is the Eric J. Gleacher Distinguished Service Profes- “Excellent . deserve[s] to sor of Finance at the University of Chicago Booth School of Business and be widely read.” former chief economist at the International Monetary Fund. —Economist 2010. 272 pages. Cl: 978-0-691-14683-6 $26.95 | £18.95 Not for sale in India ForthcominG Blind Spots Why We Fail to Do What’s Right and What to Do about It Max H. Bazerman & Ann E.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • Notes and Sources for Evil Geniuses: the Unmaking of America: a Recent History
    Notes and Sources for Evil Geniuses: The Unmaking of America: A Recent History Introduction xiv “If infectious greed is the virus” Kurt Andersen, “City of Schemes,” The New York Times, Oct. 6, 2002. xvi “run of pedal-to-the-medal hypercapitalism” Kurt Andersen, “American Roulette,” New York, December 22, 2006. xx “People of the same trade” Adam Smith, The Wealth of Nations, ed. Andrew Skinner, 1776 (London: Penguin, 1999) Book I, Chapter X. Chapter 1 4 “The discovery of America offered” Alexis de Tocqueville, Democracy In America, trans. Arthur Goldhammer (New York: Library of America, 2012), Book One, Introductory Chapter. 4 “A new science of politics” Tocqueville, Democracy In America, Book One, Introductory Chapter. 4 “The inhabitants of the United States” Tocqueville, Democracy In America, Book One, Chapter XVIII. 5 “there was virtually no economic growth” Robert J Gordon. “Is US economic growth over? Faltering innovation confronts the six headwinds.” Policy Insight No. 63. Centre for Economic Policy Research, September, 2012. --Thomas Piketty, “World Growth from the Antiquity (growth rate per period),” Quandl. 6 each citizen’s share of the economy Richard H. Steckel, “A History of the Standard of Living in the United States,” in EH.net (Economic History Association, 2020). --Andrew McAfee and Erik Brynjolfsson, The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies (New York: W.W. Norton, 2016), p. 98. 6 “Constant revolutionizing of production” Friedrich Engels and Karl Marx, Manifesto of the Communist Party (Moscow: Progress Publishers, 1969), Chapter I. 7 from the early 1840s to 1860 Tomas Nonnenmacher, “History of the U.S.
    [Show full text]
  • Featured Topic Social & Behavioral Science Interventions at the Federal Level in This Issue Nudging People to Get Flu Vaccinations
    a publication of the behavioral science & policy association volume 2 issue 2 2016 featured topic social & behavioral science interventions at the federal level in this issue Nudging people to get flu vaccinations behavioralpolicy.org founding co-editors disciplinary editors Craig R. Fox (UCLA) Behavioral Economics Sim B Sitkin (Duke University) Senior Disciplinary Editor Dean S. Karlan (Yale University) bspa executive director Associate Disciplinary Editors Oren Bar-Gill (Harvard University) Colin F. Camerer (California Institute ofTechnology) Kate B.B. Wessels M. Keith Chen (UCLA) advisory board Julian Jamison (World Bank) Paul Brest (Stanford University) Russell B. Korobkin (UCLA) David Brooks (New York Times) Devin G. Pope (University of Chicago) John Seely Brown (Deloitte) Jonathan Zinman (Dartmouth College) Robert B. Cialdini (Arizona State University) Adam M. Grant (University of Pennsylvania) Cognitive & Brain Science Daniel Kahneman (Princeton University) Senior Disciplinary Editor Henry L. Roediger III (Washington University) James G. March (Stanford University) Associate Disciplinary Editors Yadin Dudai (Weizmann Institute & NYU) Jeffrey Pfeffer (Stanford University) Roberta L. Klatzky (Carnegie Mellon University) Denise M. Rousseau (Carnegie Mellon University) Hal Pashler (UC San Diego) Paul Slovic (University of Oregon) Steven E. Petersen (Washington University) Cass R. Sunstein (Harvard University) Jeremy M. Wolfe (Harvard University) Richard H. Thaler (University of Chicago) Decision, Marketing, & Management Sciences executive committee Senior Disciplinary Editor Eric J. Johnson (Columbia University) Associate Disciplinary Editors Linda C. Babcock (Carnegie Mellon University) Morela Hernandez (University of Virginia) Max H. Bazerman (Harvard University) Katherine L. Milkman (University of Pennsylvania) Baruch Fischhoff (Carnegie Mellon University) Daniel Oppenheimer (UCLA) John G. Lynch (University of Colorado) Todd Rogers (Harvard University) John W.
    [Show full text]
  • 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.
    [Show full text]
  • 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
    [Show full text]
  • Failures of Utility Maximization Failures Of
    2/1/2017 Failures of Utility Maximization • Choice difficulty • Too much choice • Asymmetric dominance/compromise effects Failures of Utility Maximization • Leaving money on the table • Endowment effect Behavioral Economics • Status quo bias • Faming effects Columbia University • Preference reversals Mark Dean • Random Choice 1 2 Failures of Utility Maximization Choice Difficulty • Choice difficulty • Basic Idea: People may dislike making difficult • Too much choice comparisons • Asymmetric dominance/compromise effects • • Leaving money on the table May behave in such a way as to avoid having • Endowment effect to make such comparisons • Status quo bias • Faming effects • Preference reversals • Random Choice 3 4 Example: Tversky and Shafir (1992) Example: Tversky and Shafir (1992) • 80 Subjects • 80 Subjects • Each subject filled out a questionnaire • Each subject filled out a questionnaire • Paid $1.50 for doing so • Paid $1.50 for doing so • Two treatments: • Two treatments: 25% 75% 5 6 1 2/1/2017 Example: Tversky and Shafir (1992) Example: Tversky and Shafir (1992) • 80 Subjects • Clear violation of IIA • Each subject filled out a questionnaire – If money was chosen in the ‘big’ choice set, should also should have been chosen in the • Paid $1.50 for doing so smaller choice set • Two treatments: • Interpretation: Stay with the money in order to avoid the ‘difficult choice’ between the different types of pen • Taken as an example of ‘decision avoidance’ 25% 75% 53% 47% 7 8 Failures of Utility Maximization Too Much Choice • Choice difficulty
    [Show full text]
  • 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.
    [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]
  • 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]
  • People Are Experience Goods: Improving Online Dating with Virtual Dates
    PEOPLE ARE EXPERIENCE GOODS: IMPROVING ONLINE DATING WITH VIRTUAL DATES JEANA H. FROST, ZOË CHANCE, MICHAEL I. NORTON, AND DAN ARIELY JEANA H. FROST is a Research Scientist e suggest that online dating frequently fails to meet user expecta- with PatientsLikeMe.com; W e-mail: [email protected] tions because people, unlike many commodities available for purchase online, are experience goods: Daters wish to screen potential romantic partners by ZOË CHANCE is a graduate student at the Harvard experiential attributes (such as sense of humor or rapport), but online dating Business School; e-mail: [email protected] Web sites force them to screen by searchable attributes (such as income or reli- gion). We demonstrate that people spend too much time searching for MICHAEL I. NORTON options online for too little payoff in offline dates (Study 1), in part because is Assistant Professor of Business Administration at the users desire information about experiential attributes, but online dating Web Harvard Business School; e-mail: [email protected] sites contain primarily searchable attributes (Study 2). Finally, we introduce and beta test the Virtual Date, offering potential dating partners the opportu- DAN ARIELY is Professor of Marketing at nity to acquire experiential information by exploring a virtual environment in The Fuqua School of Business, Duke University; interactions analogous to real first dates (such as going to a museum), an e-mail: [email protected] online intervention that led to greater liking after offline meetings (Study 3). This work is based in part on Jeana Frost’s doctoral dissertation at the Massachusetts Institute of Technology.
    [Show full text]