Standout Papers

How Much Should We Trust Differences-In-Differences Estimates? 2003 2026 2010 2018 7.2k
  1. How Much Should We Trust Differences-In-Differences Estimates? (2004)
    Bertrand Moine, Esther Duflo et al. The Quarterly Journal of Economics
  2. Enjoying the Quiet Life? Corporate Governance and Managerial Preferences (2003)
    Marianne Bertrand, Sendhil Mullainathan Journal of Political Economy
  3. Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination (2004)
    Marianne Bertrand, Sendhil Mullainathan American Economic Review
  4. Dissecting racial bias in an algorithm used to manage the health of populations (2019)
    Ziad Obermeyer, Brian W. Powers et al. Science
  5. Poverty Impedes Cognitive Function (2013)
    Anandi Mani, Sendhil Mullainathan et al. Science
  6. Ferreting out Tunneling: An Application to Indian Business Groups (2002)
    Bertrand Moine, P.K. Mehta et al. The Quarterly Journal of Economics
  7. Are CEOs Rewarded for Luck? The Ones Without Principals Are (2001)
    Bertrand Moine, Sendhil Mullainathan The Quarterly Journal of Economics
  8. Scarcity: Why Having Too Little Means So Much (2013)
    Sendhil Mullainathan, Eldar Shafir Medical Entomology and Zoology
  9. Do People Mean What They Say? Implications for Subjective Survey Data (2001)
    Marianne Bertrand, Sendhil Mullainathan American Economic Review
  10. Machine Learning: An Applied Econometric Approach (2017)
    Sendhil Mullainathan, Jann Spiess The Journal of Economic Perspectives
  11. Some Consequences of Having Too Little (2012)
    Anuj Shah, Sendhil Mullainathan et al. Science
  12. The Market for News (2005)
    Sendhil Mullainathan, Andrei Shleifer American Economic Review
  13. Behavior and Energy Policy (2010)
    Hunt Allcott, Sendhil Mullainathan Science
  14. Getting to the Top of Mind: How Reminders Increase Saving (2016)
    Dean Karlan, Margaret McConnell et al. Management Science
  15. Prediction Policy Problems (2015)
    Jon Kleinberg, Jens Ludwig et al. American Economic Review
  16. Human Decisions and Machine Predictions (2017)
    Jon Kleinberg, Himabindu Lakkaraju et al. The Quarterly Journal of Economics
  17. Making sense of recommendations (2019)
    Michael Yeomans, Anuj Shah et al. Journal of Behavioral Decision Making
  18. Integrating explanation and prediction in computational social science (2021)
    Jake M. Hofman, Duncan J. Watts et al. Nature
  19. An algorithmic approach to reducing unexplained pain disparities in underserved populations (2021)
    Emma Pierson, David Cutler et al. Nature Medicine
  20. Self-Control at Work (2015)
    Supreet Kaur, Michael Kremer et al. Journal of Political Economy

Immediate Impact

19 by Nobel laureates 15 from Science/Nature 76 standout
Sub-graph 1 of 16

Citing Papers

Can Generative AI improve social science?
2024 Standout
Causal Inference About the Effects of Interventions From Observational Studies in Medical Journals
2024 Standout
20 intermediate papers

Works of Sendhil Mullainathan being referenced

How Much Should We Trust Differences-In-Differences Estimates?
2004 StandoutNobel
Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination
2004 Standout
and 6 more

Author Peers

Author Last Decade Papers Cites
Sendhil Mullainathan 12025 8525 9102 144 35.0k
George A. Akerlof 13814 6457 5603 93 29.0k
Jeffrey M. Wooldridge 25290 8369 8687 118 51.9k
Paul R. Rosenbaum 12213 5395 4009 90 41.3k
Joshua D. Angrist 13270 8817 3524 159 34.7k
Esther Duflo 12798 6653 4490 140 28.8k
James J. Heckman 22825 14280 5440 405 55.1k
Guido W. Imbens 13848 5774 3315 144 34.0k
Marianne Bertrand 6300 5402 6373 99 17.2k
Jerry A. Hausman 18776 3801 5389 160 31.5k
Richard Blundell 24846 4895 9300 248 37.0k

All Works

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Rankless by CCL
2026