David Laibson

David Isaac Laibson (born June 26, 1966) is a professor of economics at Harvard University, where he has taught since 1994. His research focuses on macroeconomics, intertemporal choice, behavioral economics, and neuroeconomics. In 2016, he became chairman of the Harvard economics department.

David Laibson
David Laibson in 2007
Born	(1966-06-26) June 26, 1966
Nationality	United States
Institution	Harvard University
Field	Macroeconomics Behavioral economics
Alma mater	Harvard University (AB) London School of Economics (MSc) Massachusetts Institute of Technology (PhD)
Doctoral advisor	Olivier Jean Blanchard[1] Roland Bénabou[1]
Influences	Benjamin M. Friedman Matthew Rabin
Information at IDEAS / RePEc

Laibson was raised by Ruth and Peter Laibson in Haverford, Pennsylvania. He received an AB (summa) from Harvard in 1988, studying under Benjamin M. Friedman, and went on to win a Marshall Scholarship to study at the London School of Economics (MSc in Econometrics and Mathematical Economics). He received his PhD from MIT in 1994 and joined the faculty at Harvard once he graduated. He has since gained tenure. He is married to the mathematician Nina Zipser, and they have a son, Max.

At Harvard, he teaches Economics 2030: Psychology and Economics. He also co-teaches Economics 10, the year-long introductory economics class at Harvard, together with Jason Furman.[2] His research has been published in prestigious journals such as the QJE, AER, JEP, Econometrica, and Science.

Laibson is well known for his work on time inconsistency, especially his model of quasi-hyperbolic discounting. One of his most prominent early contributions has been the "Golden Eggs and Hyperbolic Discounting" 1997 paper in QJE where he studied the intertemporal behavior of a time-inconsistent consumer. This work provides a tractable model for self-control problems, in which agents have difficulty sticking to their long-term goals. Agents in Professor Laibson's models generally value "commitment devices," such as 401(k) plans or housing equity, that let them accumulate assets without as much temptation to splurge. These models also explain the "debt puzzle," the idea that American consumers demonstrate both short-run impatience and long-run patience in their lifecycle savings decisions. Laibson has since developed hyperbolic discounting research in many directions, from more advanced theoretical models to computational macroeconomics to conceptual applications.

His own applications of his models have focused primarily on retirement savings, with considerable empirical work on 401(k) plans. He has acquired access to a proprietary dataset of the 401(k) information for several dozen companies, which has allowed him to empirically investigate the effects of various 401(k) plan designs on the investment strategies of the plan participants. One important result to come from this research is that plan participants tend to follow the "path of least resistance," showing remarkable responsiveness to defaults and other context effects. For example, a company can dramatically increase participation in its 401(k) plan if it enrolls its employees in the plan by default unless they take a minor step to opt out. However, employees tend to stick to the default contribution rates and investment allocations.

Much of this theoretical and empirical work has been co-authored with Brigitte Madrian, James Choi, John Beshears, Andrea Repetto, and Jeremy Tobacman, among many others. Laibson's quasi-hyperbolic discounting models have also been extended and applied to addiction by Matthew Rabin, Ted O'Donoghue, and Jonathan Gruber, among others. Laibson has written a Principles of Economics textbook with MIT economist Daron Acemoglu and University of Chicago economist John A. List.

Another area of research focus for Laibson involves models of bounded rationality in markets; he has co-authored papers in this field with Xavier Gabaix and other scholars. For his career achievements, he was elected to the National Academy of Sciences in 2019.