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Stefano DellaVigna - Haas School of Business, University of California, Berkeley. Berkeley, CA, US

Stefano DellaVigna Stefano DellaVigna

Professor | Daniel Koshland, Sr., Distinguished Professor of Economics | Haas School of Business, University of California, Berkeley



Areas of Expertise (5)

Behavioral Finance

Behavioral Economics

Psychology and Economics

Media Economics

Applied Microeconomics


Stefano DellaVigna is the Daniel Koshland, Sr., Distinguished Professor of Economics and Professor of Business Administration at the University of California, Berkeley. He specializes in Behavioral Economics (Psychology and Economics) and is a co-director of the Berkeley Initiative for Behavioral Economics and Finance. He has published in international journals such as the American Economic Review, the Quarterly Journal of Economics, the Journal of Finance, and the Journal of Labor Economics. He has been a Principal Investigator for an NSF Grant, an Alfred P. Sloan Fellow, and is a Distinguished Teaching Award winner. He was also a co-editor of the Journal of the European Economic Association (JEEA).

His recent work has focused on the economics of the media, and in particular the impact on voting (through persuasion) and the study of conflicts of interest; the design of model-based field experiments, including the role of social pressure in charitable giving and voting, and the analysis of scientific journals and in particular editorial choices; the study of reference-dependence for unemployed workers.

Education (3)

Harvard University: PhD, Department of Economics

Harvard University: MA, Department of Economics

Laurea Bocconi University: Degree in Economics, summa cum laude

Honors & Awards (6)

Fellow, The Econometric Society


Fellow, The American Academic of Arts & Sciences


AEJ-Applied Best Paper Prize


Highly Cited Researcher, Thomson Reuters

2016, 2017, 2018

Alfred P. Sloan Research Fellow


UC Berkeley Distinguished Teaching Award


Selected External Service & Affiliations (4)

  • 2017 - present, Co-Editor, American Economic Review
  • 2018 - 2019, Co-Editor, Handbook of Behavioral Economics, Elsevier (with Doug Bernheim and David Laibson)
  • 2009-present, Research Associate, National Bureau of Economic Research, (Labor Studies, Political Economy)
  • 2004-2009, Faculty Research Fellow, National Bureau of Economic Research (Labor Studies, Political Economy)

Positions Held (2)

At Haas since 2014

2014 – present, Professor of Business Administration 2013 – present, Daniel E. Koshland, Sr. Distinguished Professor of Economics, Department of Economics, UC Berkeley 2012 – 2013, Professor, Department of Economics 2008 – 2012, Associate Professor, Department of Economics 2002 – 2008, Assistant Professor, Department of Economics

Visiting Positions

2017 - 2018, Visiting Professor, University of Bonn, Institute on Behavior and Inequality (briq) 2015 - 2016, Visiting Professor, University of Bonn, Department of Economics 2005, Visiting Fellow, Princeton University, Department of Economics 2005, Visiting Assistant Professor, University of Chicago, Graduate School of Business

Media Appearances (5)

Six faculty elected to the American Academy of Arts and Sciences

UC Berkeley News  online


Prof. Annette Vissing-Jørgensen, the Arno A. Rayner Chair in Finance and Management, and Prof. Stefano DellaVigna, the Daniel Koshland, Sr., Distinguished Professor of Economics, are among the six UC Berkeley faculty members and top scholars elected to the American Academy of Arts and Sciences.

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The Influence You Have: Why We Fail To See Our Power Over Others

NPR  online


An "egocentric bias" may reveal itself when we put others on the spot. It causes us to vastly underestimate the pressures we place on those around us. Prof. Ulrike Malmendier, Edward J. and Mollie Arnold Professor of Finance, and Prof. Stefano DellaVigna, Daniel Koshland, Sr., Distinguished Professor of Economics, studied how this factors into charitable giving.

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Twelve leading economists on the research that shaped our world in 2018

Quartz  online


A study co-authored by Stefano DellaVigna, Distinguished Professor of Economics and Professor of Business Administration, on how to motivate workers shows that extra cash is the best incentive—but other techniques are effective as well. The list calls the work a "tour-de-force field experiment."

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Innovación para ejercitarse: el argentino que salió a competirle al crossfit

La Nacion (Spanish)  online


Un trabajo de los economistas Stefano Dellavigna y Ulrike Malmendier publicado en el American Economic Review se titula "Pagando para no ir al gimnasio" y muestra cómo los modelos de negocios de los gimnasios aprovechan que la mayoría de nosotros "solemos confiar demasiado en nuestra fuerza de voluntad o capacidad futura de efectivamente ir al gimnasio".

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Three Haas faculty named among world’s most cited researchers

Haas Newsroom  online


Henry Chesbrough, Stefano DellaVigna, and Ulrike Malmendier have been named among the 2015 Thomson Reuters Highly Cited Researchers, according to “The World’s Most Influential Scientific Minds 2015,” published Jan. 14.

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Selected Papers & Publications (7)

Structural Behavioral Economics

Handbook of Behavioral Economics

Doug Bernheim, Stefano DellaVigna, and David Laibson


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What Motivates Effort? Evidence and Expert Forecasts

Review of Economic Studies

Stefano DellaVigna and Devin Pope


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Predicting Experimental Results: Who Knows What?

Journal of Political Economy

Stefano DellaVigna and Devin Pope


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Reference-Dependent Job Search: Evidence from Hungary

Quarterly Journal of Economics

Stefano DellaVigna, Attila Lindner, Balazs Reizer, and Johannes Schmieder


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Does Conflict of Interest Lead to Biased Coverage? Evidence from Movie Reviews

Review of Economic Studies

Stefano DellaVigna and Johannes Hermle


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Voting to Tell Others

Review of Economic Studies

Stefano DellaVigna, John List, Ulrike Malmendier, and Gautam Rao


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Market-Based Lobbying: Evidence from Advertising Spending in Italy

AEJ: Applied Economics

Stefano DellaVigna, Ruben Durante, Brian Knight, and Eliana La Ferrara


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