@article{941cb92cde054afd865408761e7fc11d,
title = "Learning self-control",
abstract = "This article examines how a decision maker who is only partially aware of his temptations learns about them over time. In facing temptations, individuals use their experience to forecast future self-control problems and choose the appropriate level of commitment. I demonstrate that rational learning can be perpetually partial and need not result in full sophistication. The main result of this article characterizes necessary and sufficient conditions for learning to converge to full sophistication. I apply this result to a consumption-savings environment in which a decisionmaker is tempted by present bias and establish a learning-theoretic justification for assuming sophistication in this setting.",
author = "Ali, {S. Nageeb}",
note = "Funding Information: ∗This article is a revised version of Chapter 3 of my dissertation. I am grateful to my advisers, Susan Athey and Doug Bernheim, for their support and encouragement andtoDrewFudenberg andPaul Niehaus for numerous suggestions that greatly improved the article. I thank Ricardo Alonso, Manuel Amador, Dan Benjamin, Aislinn Bohren, Juan Carrillo, Chris Chambers, Vince Crawford, Stefano DellaVigna, Ben Ho, Shachar Kariv, Navin Kartik, Botond K{\"o}szegi, Troy Kravitz, Jon Levin, Charles Lin, Ulrike Malmendier, Andres Santos, Josh Schwartzstein, Shamim Sinnar, Joel Sobel, Joel Watson, Tom Wiseman, the editor (Robert Barro), and three referees for helpful comments. I acknowledge financial support from the UCSD AcademicSenate, the UCSD Hellman Fund, the Stanford Institute for Economic Policy Research, and the Institute for Humane Studies.",
year = "2011",
month = may,
doi = "10.1093/qje/qjr014",
language = "English (US)",
volume = "126",
pages = "857--893",
journal = "Quarterly Journal of Economics",
issn = "0033-5533",
publisher = "Oxford University Press",
number = "2",
}