2016 - Fellow of the American Academy of Arts and Sciences
2002 - Fellow of the MacArthur Foundation
2001 - Fellow of Alfred P. Sloan Foundation
The scientist’s investigation covers issues in Microeconomics, Behavioral economics, Shareholder, Newspaper and Control. As a part of the same scientific study, Sendhil Mullainathan usually deals with the Microeconomics, concentrating on Liberian dollar and frequently concerns with Temptation, Investment, Set, Neoclassical economics and Self. His Behavioral economics study integrates concerns from other disciplines, such as Poverty, Marketing, Competitor analysis and Positive economics.
Sendhil Mullainathan usually deals with Shareholder and limits it to topics linked to Corporate law and State, Earnings, Incentive, Monetary economics and Enforcement. Sendhil Mullainathan has included themes like Social class and Media bias in his Newspaper study. His Corporate governance research includes themes of Productivity, Profitability index and Market economy.
Sendhil Mullainathan mostly deals with Microeconomics, Public economics, Behavioral economics, Artificial intelligence and Machine learning. The study incorporates disciplines such as Principal–agent problem, Savings account and Shareholder in addition to Microeconomics. His Shareholder study is concerned with the field of Corporate governance as a whole.
His Welfare research extends to Public economics, which is thematically connected. His study in Welfare is interdisciplinary in nature, drawing from both Actuarial science and Value. His studies deal with areas such as Loan and Marketing as well as Behavioral economics.
His primary areas of investigation include Artificial intelligence, Machine learning, Task, Algorithm and Health care. His work deals with themes such as Quality, Inference and Health records, which intersect with Machine learning. His studies in Quality integrate themes in fields like Simplicity, Disadvantaged, Interpretability and Statistical discrimination.
His Task research integrates issues from Actuarial science, Stochastic game, Value, Counterfactual conditional and Decision rule. His Algorithm study which covers Equity that intersects with Forcing. The Health care study which covers MEDLINE that intersects with Mortality trends and Demography.
His primary scientific interests are in Artificial intelligence, Machine learning, Health care, MEDLINE and Algorithm. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Criminal justice, Recommender system, Boolean function and As is. His Machine learning research incorporates themes from Simplicity, Unmeasured confounding and Inference.
His biological study spans a wide range of topics, including Socioeconomics, Revenue and Financial health. His MEDLINE study combines topics from a wide range of disciplines, such as Demography and Mortality trends. Sendhil Mullainathan integrates many fields, such as Framingham Risk Score and engineering, in his works.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
How Much Should We Trust Differences-In-Differences Estimates?
Marianne Bertrand;Esther Duflo;Sendhil Mullainathan.
Quarterly Journal of Economics (2004)
Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination
Marianne Bertrand;Sendhil Mullainathan.
The American Economic Review (2004)
Enjoying the Quiet Life? Corporate Governance and Managerial Preferences
Marianne Bertrand;Sendhil Mullainathan.
Journal of Political Economy (2003)
Poverty impedes cognitive function
Anandi Mani;Sendhil Mullainathan;Eldar Shafir;Jiaying Zhao.
Science (2013)
Are CEOs Rewarded for Luck? The Ones Without Principals Are
Marianne Bertrand;Sendhil Mullainathan.
Quarterly Journal of Economics (2001)
Ferreting out Tunneling: An Application to Indian Business Groups
Marianne Bertrand;Paras Praful Mehta;Sendhil Mullainathan.
Quarterly Journal of Economics (2002)
Do People Mean What They Say? Implications for Subjective Survey Data
Marianne Bertrand;Sendhil Mullainathan.
The American Economic Review (2001)
The Market for News
Sendhil Mullainathan;Andrei Shleifer.
The American Economic Review (2005)
Some Consequences of Having Too Little
Anuj K. Shah;Sendhil Mullainathan;Eldar Shafir.
Science (2012)
NETWORK EFFECTS AND WELFARE CULTURES
Marianne Bertrand;Erzo F.P. Luttmer;Sendhil Mullainathan.
Quarterly Journal of Economics (2000)
University of Chicago
Cornell University
Princeton University
University of Chicago
Northwestern University
Harvard University
Dartmouth College
Microsoft (United States)
Stanford University
MIT
Profile was last updated on December 6th, 2021.
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