Sendhil Mullainathan
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Sendhil Mullainathan (Template:Pronunciation) (born c. 1973) is an American professor of economics at the Massachusetts Institute of Technology.<ref>{{#invoke:citation/CS1|citation |CitationClass=web }}</ref> He was a professor of Computation and Behavioral Science at the University of Chicago Booth School of Business from 2018-2024. He is the author of Scarcity: Why Having Too Little Means So Much<ref>Template:Cite book</ref> (with Eldar Shafir). He was hired with tenure by Harvard in 2004 after having spent six years at MIT.
Mullainathan is a recipient of a MacArthur Foundation "genius grant" and conducts research on development economics, behavioral economics, and corporate finance. He is co-founder of Ideas 42, a non-profit organization that uses behavioral science to help solve social problems, and J-PAL, the MIT Poverty Action Lab and has made extensive academic contributions through the National Bureau of Economic Research and has also worked in government at the Consumer Financial Protection Bureau (CFPB). In May 2018, he moved from Harvard to the University of Chicago Booth School of Business, becoming the George C. Tiao Faculty Fellow.<ref>Template:Cite news</ref> In November 2018, he received the Infosys Prize (in Social Sciences category), one of the highest monetary awards in India that recognize excellence in science and research, for his contributions to the field of economics, especially behavioral economics.<ref>{{#invoke:citation/CS1|citation |CitationClass=web }}</ref> In 2024, he moved back to MIT as a professor on joint appointment between the Department of Economics and the School of Engineering.<ref>{{#invoke:citation/CS1|citation |CitationClass=web }}</ref>
Early life and careerEdit
Born in a small farming village in Tamil Nadu, India, Mullainathan moved to the Los Angeles area in 1980.<ref>Template:Cite news</ref><ref name=":0">{{#invoke:citation/CS1|citation |CitationClass=web }}</ref> His father studied and later worked in aerospace engineering.<ref name=":0" /> As security clearance laws in the US aerospace industry were tightened in the 1980s, his father lost his job.<ref name=":0" /> His parents subsequently operated a video store.<ref name=":0" />
He received his B.A. in computer science, mathematics, and economics from Cornell University in 1993 and he completed his Ph.D. in economics from Harvard University 1993–1998.<ref>{{#invoke:citation/CS1|citation |CitationClass=web }}</ref>
Research contributionsEdit
Template:Development economics sidebar He has made substantial contributions to the field of behavioral economics as well as innovative additions to the literature on development topics, such as discrimination, corruption, and corporate governance. According to IDEAS/RePEc, he ranked 185th in September 2018 in terms of research among 54 233 registered economists (i.e, among the top 0.4%).<ref>Top 10% Authors. Retrieved November 5th, 2018.</ref>
His 2013 "Poverty Impedes Cognitive Function"<ref>Template:Cite journal</ref> published in Science, compared farmers' performance on intelligence tests in the bleak and stressful days before harvest, to the period of abundance following the sale of produce. Remarkably, the same farmer shows diminished cognitive performance before harvest, when poor, compared with after harvest, when rich. The controlled study found that the stress associated with poverty impeded other behaviors.
As a research associate with the National Bureau of Economic Research, he produced numerous papers that link behavioral science and economics. The 2002 paper "Do Cigarette Taxes Make Smokers Happier",<ref>Template:Cite journal</ref> written together with Jonathan Gruber, found an improvement in smokers' psychological state when cigarette taxes were hiked to provide disincentive to buy cigarettes.
A December 2007 paper studies corruption in obtaining driving licenses in Delhi.<ref>Template:Cite journal</ref> On the average, individuals pay about twice the official amount to obtain a license and very few take the legally required driving test, resulting in many unqualified but licensed drivers. The magnitude of distortions in the allocation of licenses increases with citizens' willing to pay for licenses. The results support the view that corruption does not only transfer from citizens to bureaucrats but also distorts allocation. The paper also shows that partial anti-corruption measures have only a limited impact because players in this system adapt to the new environment. Specifically, a ban on agents at one regional transport office is associated with a high percentage of unqualified drivers overcoming the residency requirement and obtaining licenses at other license offices.
His influential 2004 paper "Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination" used a simple technique to measure labor market discrimination by switching the names at the top of resumes.<ref>Template:Cite journal</ref> Controlling for other factors, Mullainathan and his co-authors found that applications with white sounding names attained 50% more callbacks. The experiment provides convincing evidence of implicit discrimination in hiring practices.
In collaboration with Marianne Bertrand, Mullainathan published a series of papers scrutinizing executive compensation. The studies explain that increasing financial reward for CEO performance is a more complicated matter than incentive. Factors may enable CEOs to gain from luck, manipulating committees (the Skimming Model) and decreased sector competition.<ref>Template:Cite journal</ref><ref>Template:Cite journal</ref><ref>Template:Cite journal</ref>
His most-cited<ref>{{#invoke:citation/CS1|citation |CitationClass=web }}</ref> paper is a statistical methodology article, coauthored with Marianne Bertrand and Esther Duflo, which shows that a statistical procedure that is commonly used in the empirical economics literature frequently drastically overstates the statistical significance of the results. The article, "How Much Should We Trust Differences-In-Differences Estimates?"<ref>{{#invoke:citation/CS1|citation |CitationClass=web }}</ref> shows that when a trend is occurring, a statistical test of whether there has been a "before and after" change regarding some event, such as the passage of a law, is likely to find that there has been a significant change due to the passage of the law even when the law had no effect on the trend.
Selected bibliographyEdit
BooksEdit
Journal articlesEdit
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- Mullainathan, Sendil, Bertrand, Marianne, Duflo, Esther (February 2004) "How Much Should We Trust Differences-In-Differences Estimates?" Quarterly Journal of Economics 119 (1): 249-275. https://doi.org/10.1162/003355304772839588
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PapersEdit
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ReferencesEdit
External linksEdit
- Harvard Faculty Web Page
- Scarcity: Why Having Too Little Means So Much
- The Mistake Busy People Make (Time)
- The Mental Strain of Making Do With Less (The New York Times)
- When a Co-Pay Gets in the Way of Health (The New York Times)
- Poverty Impedes Cognitive Function
- List of Working Papers Online
- TEDIndia Talk