Mullainathan, Sendhil

How Much Should We Trust Differences-in-Differences Estimates?

Bertrand, M., Duflo, E., & Mullainathan, S. (2004) · The Quarterly Journal of Economics

Advanced Causal Inference TechniquesSpatial and Panel Data Analysis

Cited by 10,641

Dissecting racial bias in an algorithm used to manage the health of populations

Obermeyer, Z., Powers, B., Vogeli, C., & Mullainathan, S. (2019) · Science

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 7,137

Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination

Bertrand, M., & Mullainathan, S. (2004) · American Economic Review

Names, Identity, and Discrimination ResearchLabor market dynamics and wage inequality

Cited by 4,504

Enjoying the Quiet Life? Corporate Governance and Managerial Preferences

Bertrand, M., & Mullainathan, S. (2003) · Journal of Political Economy

Corporate Finance and GovernancePolitical Influence and Corporate Strategies

Cited by 3,777

Poverty impedes cognitive function.

Mani, A., Mullainathan, S., Shafir, E., & Zhao, J. (2013) · Science

Decision-Making and Behavioral EconomicsIncome, Poverty, and Inequality

Cited by 2,967

Machine Learning: An Applied Econometric Approach

Mullainathan, S., & Spiess, J. (2017) · Journal of Economic Perspectives

Statistical Methods and ApplicationsMachine Learning and Algorithms

Cited by 1,989

Are CEOs Rewarded for Luck? The Ones Without Principals Are

Bertrand, M., & Mullainathan, S. (2001) · The Quarterly Journal of Economics

Corporate Finance and GovernanceAccounting and Organizational Management

Cited by 1,740

Some Consequences of Having Too Little

Shah, A. K., Mullainathan, S., & Shafir, E. (2012) · Science

Decision-Making and Behavioral EconomicsFinancial Literacy, Pension, Retirement Analysis

Cited by 1,567

Do People Mean What They Say? Implications for Subjective Survey Data

Bertrand, M., & Mullainathan, S. (2001) · American Economic Review

Survey Methodology and NonresponseDecision-Making and Behavioral Economics

Cited by 1,391

Human Decisions and Machine Predictions

Kleinberg, J., Lakkaraju, H., Leskovec, J., Ludwig, J., & Mullainathan, S. (2018) · The Quarterly Journal of Economics

Criminal Justice and Corrections AnalysisArtificial Intelligence in Law

Cited by 1,040

Inherent trade-offs in the fair determination of risk scores

Kleinberg, J., Mullainathan, S., & Raghavan, M. (2017) · Schloss Dagstuhl – Leibniz-Zentrum für Informatik

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 943

Inherent Trade-Offs in the Fair Determination of Risk Scores

Kleinberg, J., Mullainathan, S., & Raghavan, M. (2016) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 941

Prediction Policy Problems

Kleinberg, J., Ludwig, J., Mullainathan, S., & Obermeyer, Z. (2015) · American Economic Review

Advanced Causal Inference TechniquesEvaluation and Performance Assessment

Cited by 584

Human Decisions and Machine Predictions

Kleinberg, J., Lakkaraju, H., Leskovec, J., Ludwig, J., & Mullainathan, S. (2017) · National Bureau of Economic Research

Artificial Intelligence in LawCriminal Justice and Corrections Analysis

Cited by 545

Thinking, fast and slow? Some field experiments to reduce crime and dropout in Chicago

Heller, S. B., Shah, A. K., Guryan, J., Ludwig, J., Mullainathan, S., & Pollack, H. A. (2017) · The Quarterly Journal of Economics

Crime Patterns and InterventionsCriminal Justice and Corrections Analysis

Cited by 493

Making sense of recommendations

Yeomans, M., Shah, A., Mullainathan, S., & Kleinberg, J. (2019) · Journal of Behavioral Decision Making

Recommender Systems and TechniquesDecision-Making and Behavioral Economics

Cited by 459

Scarcity Frames Value

Shah, A. K., Shafir, E., & Mullainathan, S. (2015) · Psychological Science

Decision-Making and Behavioral EconomicsExperimental Behavioral Economics Studies

Cited by 433

The psychological lives of the poor

Schilbach, F., Schofield, H., & Mullainathan, S. (2016) · American Economic Review

Decision-Making and Behavioral EconomicsIncome, Poverty, and Inequality

Cited by 404

Discrimination in the Age of Algorithms

Kleinberg, J., Ludwig, J., Mullainathan, S., & Sunstein, C. R. (2018) · Journal of Legal Analysis

Ethics and Social Impacts of AIDiscrimination and Equality Law

Cited by 401

Integrating explanation and prediction in computational social science

Hofman, J. M., Watts, D. J., Athey, S., Garip, F., Griffiths, T. L., Kleinberg, J., Margetts, H., Mullainathan, S., Salganik, M. J., Vazire, S., et al. (2021) · Nature

Philosophy of Biology and Scientific ExplanationMulti-Agent Systems and Negotiation

Cited by 371

Algorithmic fairness

Kleinberg, J., Ludwig, J., Mullainathan, S., & Rambachan, A. (2018) · AEA Papers and Proceedings

Ethics and Social Impacts of AIGame Theory and Voting Systems

Cited by 278

An algorithmic approach to reducing unexplained pain disparities in underserved populations

Pierson, E., Cutler, D. M., Leskovec, J., Mullainathan, S., & Obermeyer, Z. (2021) · Nature Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 268

Behavioral Hazard in Health Insurance *

Baicker, K., Mullainathan, S., & Schwartzstein, J. (2015) · The Quarterly Journal of Economics

Healthcare Policy and ManagementDecision-Making and Behavioral Economics

Cited by 247

Is there Discretion in Wage Setting? A Test Using Takeover Legislation

Bertrand, M., & Mullainathan, S. (1999) · The RAND Journal of Economics

Labor market dynamics and wage inequalityMerger and Competition Analysis

Cited by 221