Papers, latest

  1. Gupta, D., Kopytov, A., & Starmans, J. (2026). Insurance, Migration and Disclosure of Climate Risk.

    climate: 1insurance: 1

  2. David, G., Lindrooth, R. C., Helmchen, L. A., et al. (2014). Do hospitals cross-subsidize? Journal of Health Economics.

    health: 1industrial organization: 1strategy: 1

  3. Coe, N. B., & Rosenkranz, D. A. (2025). Provider payment incentives: Evidence from the U.S. hospice industry. Journal of Public Economics.

    health: 1industrial organization: 1public: 1

  4. Mankiw, N. G., & Weinzierl, M. (2010). The Optimal Taxation of Height: A Case Study of Utilitarian Income Redistribution. American Economic Journal: Economic Policy.

    micro theory: 1public: 1tax: 1

  5. Chernozhukov, V., Wüthrich, K., & Zhu, Y. (2021). An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls. Journal of the American Statistical Association.

    causal inference: 1econometrics: 1

  6. Chernozhukov, V., Hong, H., & Tamer, E. (2007). Estimation and Confidence Regions for Parameter Sets in Econometric Models. Econometrica.

    econometrics: 1machine learning: 1

  7. Belloni, A., & Chernozhukov, V. (2011). ℓ1-penalized quantile regression in high-dimensional sparse models. The Annals of Statistics.

    econometrics: 1machine learning: 1statistics: 1

  8. Belloni, A., & Chernozhukov, V. (2013). Least squares after model selection in high-dimensional sparse models. Bernoulli.

    econometrics: 1machine learning: 1

  9. Belloni, A., Chernozhukov, V., & Hansen, C. (2014). High-Dimensional Methods and Inference on Structural and Treatment Effects. Journal of Economic Perspectives.

    econometrics: 1machine learning: 1

  10. Belloni, A., Chernozhukov, V., & Hansen, C. (2014). Inference on Treatment Effects after Selection among High-Dimensional Controls. The Review of Economic Studies.

    econometrics: 1machine learning: 1

  11. (2012). Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain. Econometrica.

    econometrics: 1machine learning: 1

  12. Imbens, G., & Wager, S. (2019). Optimized Regression Discontinuity Designs. The Review of Economics and Statistics.

    causal inference: 1econometrics: 1

  13. Athey, S., & Imbens, G. (2016). Recursive partitioning for heterogeneous causal effects. Proceedings of the National Academy of Sciences.

    econometrics: 1machine learning: 1

  14. Athey, S., Bayati, M., Doudchenko, N., et al. (2021). Matrix Completion Methods for Causal Panel Data Models. Journal of the American Statistical Association.

    econometrics: 1machine learning: 1

  15. Athey, S. (2017). Beyond prediction: Using big data for policy problems. Science.

    machine learning: 1

  16. Athey, S. (2019). The Impact of Machine Learning on Economics. The Economics of Artificial Intelligence.

    ai: 1econometrics: 1machine learning: 1

  17. Athey, S., & Imbens, G. W. (2019). Machine Learning Methods That Economists Should Know About. Annual Review of Economics.

    econometrics: 1machine learning: 1

  18. Athey, S., & Imbens, G. W. (2017). The State of Applied Econometrics: Causality and Policy Evaluation. Journal of Economic Perspectives.

    causal inference: 1econometrics: 1

  19. Arkhangelsky, D., Athey, S., Hirshberg, D. A., et al. (2021). Synthetic Difference-in-Differences. American Economic Review.

    causal inference: 1econometrics: 1

  20. Wager, S., & Athey, S. (2018). Estimation and Inference of Heterogeneous Treatment Effects using Random Forests. Journal of the American Statistical Association.

    causal inference: 1econometrics: 1

  21. Słoczyński, T. (2022). Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights. The Review of Economics and Statistics.

    causal inference: 1econometrics: 1

  22. Słoczyński, T., Uysal, S. D., & Wooldridge, J. M. (2025). Abadie’s Kappa and Weighting Estimators of the Local Average Treatment Effect. Journal of Business & Economic Statistics.

    causal inference: 1econometrics: 1

  23. Słoczyński, T. (2026). When Should We (Not) Interpret Linear IV Estimands as LATE?

    causal inference: 1econometrics: 1

  24. Izdebski, A., Słoczyński, T., Bonnier, A., et al. (2020). Landscape Change and Trade in Ancient Greece: Evidence from Pollen Data. The Economic Journal.

    economic history: 1

  25. Słoczyński, T., Uysal, S. D., & Wooldridge, J. M. (2022). Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment. arXiv.org.

    causal inference: 1econometrics: 1

  26. Abadie, A., Athey, S., Imbens, G. W., et al. (2020). Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis. Econometrica.

    causal inference: 1econometrics: 1

  27. Abadie, A., Athey, S., Imbens, G. W., et al. (2022). When Should You Adjust Standard Errors for Clustering? The Quarterly Journal of Economics.

    causal inference: 1econometrics: 1

  28. Wooldridge, J. M. (2023). Simple approaches to nonlinear difference-in-differences with panel data. The Econometrics Journal.

    causal inference: 1econometrics: 1

  29. Wooldridge, J. M. (2025). An Algebraic Equivalence between Generalized Fixed Effects and a Generalized Mundlak Regression with Applications to Heterogeneous Trends and Difference-in-Differences. Seven Decades of Econometrics and Beyond: A Tribute to the Life and Work of Marc Nerlove.

    causal inference: 1econometrics: 1

  30. S{l}oczy'nski, T., Uysal, S. D., & Wooldridge, J. M. (2025). Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects. Papers.

    causal inference: 1econometrics: 1

  31. Gelber, A., & Weinzierl, M. (2016). OPTIMAL TAXATION WHEN CHILDREN'S ABILITIES DEPEND ON PARENTS' RESOURCES. National Tax Journal.

    public: 1tax: 1

  32. Gelber, A. M. (2014). Taxation and the Earnings of Husbands and Wives: Evidence from Sweden. Review of Economics and Statistics.

    public: 1tax: 1

  33. Gelber, A. M., Jones, D., Sacks, D. W., et al. (2021). Using Nonlinear Budget Sets to Estimate Extensive Margin Responses: Method and Evidence from the Earnings Test. American Economic Journal: Applied Economics.

    bunching: 1public: 1tax: 1

  34. Gelber, A., Moore, T., Pei, Z., et al. (2023). Disability Insurance Income Saves Lives. Journal of Political Economy.

    insurance: 1mortality: 1public: 1

  35. Coyne, D., & Johnson, C. (2026). Use of the Opportunity Zone Tax Incentive through 2024: An Update.

    tax: 1

  36. Dinerstein, M., Yannelis, C., & Chen, C.-T. (2024). Debt Moratoria: Evidence from Student Loan Forbearance. American Economic Review: Insights.

    education: 1household finance: 1labor: 1

  37. Rafey, W. (2026). Measuring Water Misallocation in California.

    environmental: 1industrial organization: 1

  38. Competition, E. C. D.-G. f., Stiebale, J., & Szucs, F. (2026). Study on the impact of mergers reviewed by the European Commission on innovation and markups.

    industrial organization: 1innovation: 1

  39. Bhattacharya, V., Illanes, G., & Stillerman, D. (2026). Merger Effects and Antitrust Enforcement: Evidence from US Consumer Packaged Goods. American Economic Review.

  40. Huber, M., & Imhof, D. (2023). Flagging cartel participants with deep learning based on convolutional neural networks. International Journal of Industrial Organization.

    industrial organization: 1machine learning: 1

  41. Shepard, M. (2022). Hospital Network Competition and Adverse Selection: Evidence from the Massachusetts Health Insurance Exchange. American Economic Review.

    health: 1industrial organization: 1insurance: 1

  42. Abraham, V., Ederer, F., & Marvao, C. (2026). Common Ownership and Collusion.

    industrial organization: 1

  43. Kwon, S., & Roth, J. (2024). (Empirical) Bayes Approaches to Parallel Trends. AEA Papers and Proceedings.

  44. Chen, J., & Roth, J. (2022). Logs with zeros? Some problems and solutions.

    econometrics: 2jmp: 1

  45. Dwork, C., Feldman, V., Hardt, M., et al. (2015). Preserving Statistical Validity in Adaptive Data Analysis. Proceedings of the forty-seventh annual ACM symposium on Theory of Computing.

    adaptive learning: 1machine learning: 1metascience: 1

  46. Chernozhukov, V., Newey, W. K., & Singh, R. (2022). Automatic Debiased Machine Learning of Causal and Structural Effects. Econometrica.

    econometrics: 2machine learning: 1statistics: 1

  47. Heldring, L. (2025). The Cost of State-Building: Evidence from Germany.

    economic history: 1political economy: 1

  48. Arrow, K. (1962). Economic Welfare and the Allocation of Resources for Invention. The Rate and Direction of Inventive Activity: Economic and Social Factors.

  49. Jackson, C. K. (2013). Match Quality, Worker Productivity, and Worker Mobility: Direct Evidence from Teachers. The Review of Economics and Statistics.

    education: 1labor: 1market design: 1

  50. Adhvaryu, A., Bassi, V., Nyshadham, A., et al. (2026). No Line Left Behind: Assortative Matching Inside the Firm. Review of Economics and Statistics.

    labor: 1market design: 1

  51. Abdulkadiroğlu, A., Pathak, P. A., & Walters, C. R. (2018). Free to Choose: Can School Choice Reduce Student Achievement? American Economic Journal: Applied Economics.

    education: 1market design: 1

  52. Abdulkadiroğlu, A., Pathak, P. A., Schellenberg, J., et al. (2020). Do Parents Value School Effectiveness? American Economic Review.

    education: 1

  53. Abraham, C., & Goldblatt, C. (2023). Changes in Relative Humidity Profiles over Earth’s Oceans in a Warming Climate: A Satellite-Data-Based Inference.

  54. Chen, L., Pelger, M., & Zhu, J. (2019). Deep Learning in Asset Pricing.

    ML: 1asset pricing: 1

  55. Solon, G., Haider, S. J., & Wooldridge, J. M. (2015). What Are We Weighting For? Journal of Human Resources.

    econometrics: 2causal inference: 1

  56. Einav, L., Finkelstein, A., & Mahoney, N. (2025). Producing Health: Measuring Value Added of Nursing Homes. Econometrica.

    health: 1industrial organization: 1

  57. Okeke, E. N. (2026). Making Bricks from Straw: Resources and Productivity in Health Care. American Economic Review.

    development: 1health: 1

  58. Bianchi, D., Büchner, M., & Tamoni, A. (2021). Bond Risk Premiums with Machine Learning. Review of Financial Studies.

    ML: 1asset pricing: 1term structure: 1

  59. Ghosh, A., Hwang, S. I. M., & Squires, M. (2023). Economic Consequences of Kinship: Evidence From U.S. Bans on Cousin Marriage. The Quarterly Journal of Economics.

    family: 1marriage: 1migration: 1

  60. De Nardi, M., French, E., & Jones, J. B. (2009). Why do the Elderly Save? The Role of Medical Expenses.

    health: 1household: 1structural: 1

  61. Vohra, V., & Goldin, J. (2024). Identifying the Cumulative Causal Effect of a Non-Binary Treatment from a Binary Instrument. Review of Economics and Statistics.

    econometrics: 1

  62. Bishop, C. M. (1995). Training with Noise is Equivalent to Tikhonov Regularization. Neural Computation.

    machine learning: 1neural network theory: 1

  63. Srivastava, N., Hinton, G., Krizhevsky, A., et al. (2014). Dropout: A Simple Way to Prevent Neural Networks from Overfitting. Journal of Machine Learning Research.

    deep learning: 1machine learning: 1neural network theory: 1

  64. Jacot, A., Gabriel, F., & Hongler, C. (2018). Neural Tangent Kernel: Convergence and Generalization in Neural Networks. Advances in Neural Information Processing Systems.

    deep learning: 1machine learning: 1neural network theory: 1

  65. Tibshirani, R. (2023). Conformal Prediction.

    statistics: 1

  66. Jensen, C. (2012). Labour market- versus life course-related social policies: understanding cross-programme differences. Journal of European Public Policy.

  67. Abaluck, J., Agha, L., & Chan Jr, D. C. (2026). Are Guidelines Worth Following? Decision-Making Under Incomplete Evidence. Working Paper Series.

  68. Dai, J., Huang, A., Nasrallah, C., et al. (2025). Patient Safety Risks from AI Scribes: Signals from End-User Feedback.

    health: 1

  69. Becker, G. (1960). An Economic Analysis of Fertility.

    family: 1

  70. Joshua S. Graff Zivin, J. H. T. F. J. A. L.-M. M. J. N. (2026). The Effects of Long-Term Exposure to Pollution on Health.

    health: 1

  71. Christopher M. Worsham, C. B. J. R. B. K. A. J. (2026). In Utero Exposure to the 1982 Tylenol Recall and Neurodevelopmental Outcomes.

    health: 1

  72. Lieber, E. M. J., & Lockwood, L. M. (2019). Targeting with In-Kind Transfers: Evidence from Medicaid Home Care. American Economic Review.

    health: 1insurance: 1public: 1

  73. Bulow, J. I. (1982). Durable-Goods Monopolists. Journal of Political Economy.

    industrial organization: 1

  74. Sirignano, J., Sadhwani, A., & Giesecke, K. (2016). Deep Learning for Mortgage Risk.

    credit risk modeling: 1deep learning: 1statistics: 1

  75. Finkelstein, A., Taubman, S., Wright, B., et al. (2012). The Oregon Health Insurance Experiment: Evidence from the First Year. The Quarterly Journal of Economics.

    health: 2insurance: 1public: 1

  76. Levinthal, D. A., & Purohit, D. (1989). Durable Goods and Product Obsolescence. Marketing Science.

    industrial organization: 1

  77. Waldman, M. (1996). Planned Obsolescence and the R&D Decision. The RAND Journal of Economics.

    industrial organization: 1

  78. Fishman, A., & Rob, R. (2000). Product Innovation by a Durable-Good Monopoly. The RAND Journal of Economics.

    industrial organization: 1

  79. Kowalski, A. E. (2023). Reconciling Seemingly Contradictory Results from the Oregon Health Insurance Experiment and the Massachusetts Health Reform. Review of Economics and Statistics.

    health: 1insurance: 1public: 1

  80. Broockman, D. E. (2019). Ascertaining Business's Interests and Political Preferences. Studies in American Political Development.

    firms: 1lobbying: 1politics: 1

  81. Diebold, F. X., & Li, C. (2003). Forecasting the Term Structure of Government Bond Yields. Working Paper Series.

    econometrics: 1term structure: 1

  82. Kumar, P. (2006). Intertemporal price–quality discrimination and the Coase conjecture. Journal of Mathematical Economics.

    industrial organization: 1

  83. Gul, F., Sonnenschein, H., & Wilson, R. (1986). Foundations of dynamic monopoly and the coase conjecture. Journal of Economic Theory.

    game theory: 1industrial organization: 1

  84. Kiyotaki, N., & Moore, J. (2002). Evil Is the Root of All Money. American Economic Review.

  85. Kamenica, E., & Gentzkow, M. (2011). Bayesian Persuasion. American Economic Review.

    Bayesian: 1

  86. Chetty, R., Friedman, J. N., Saez, E., et al. (2017). Mobility Report Cards: The Role of Colleges in Intergenerational Mobility. Working Paper Series.

    education: 1labor: 1

  87. Callaway, B., & Sant’Anna, P. H. (2021). Difference-in-Differences with multiple time periods. Journal of Econometrics.

    econometrics: 3causal inference: 1

  88. Espín-Sánchez, J.-A., Gil-Guirado, S., & Ryan, N. (2026). Praying for Rain. The Quarterly Journal of Economics.

    history: 1microeconomics: 1origin story: 1

  89. Duffee, G. R. (2011). Sharpe ratios in term structure models.

    term structure: 1

  90. Bau, N., & Fernández, R. (2021). Culture and the Family.

    family: 1labor: 1

  91. Bailey, M., & Dynarski, S. (2011). Gains and Gaps: Changing Inequality in U.S. College Entry and Completion.

    education: 1labor: 1

  92. Bailey, M. J., Malkova, O., & McLaren, Z. M. (2019). Does Access to Family Planning Increase Children’s Opportunities? Journal of Human Resources.

    family: 1health: 1labor: 1

  93. Newhouse, J. P. (1989). Do unprofitable patients face access problems? Health Care Financing Review.

    health: 1insurance: 1public: 1strategy: 1

  94. Cutler, D., & Lleras-Muney, A. (2006). Education and Health: Evaluating Theories and Evidence.

    education: 1health: 1labor: 1

  95. Gowrisankaran, G., Nevo, A., & Town, R. (2015). Mergers When Prices Are Negotiated: Evidence from the Hospital Industry. American Economic Review.

    health: 1industrial organization: 1insurance: 1

  96. Caner, M. (2009). Lasso-Type GMM Estimator. Econometric Theory.

  97. Reiss, P. C., & Spiller, P. T. (1989). Competition and Entry in Small Airline Markets. The Journal of Law and Economics.

    industrial organization: 1

  98. Hampole, M., Papanikolaou, D., Schmidt, L. D. W., et al. (2026). Artificial Intelligence and the Labor Market.

    ai: 1labor: 1macro: 1

  99. Sood, N., Buntin, M. B., & Escarce, J. J. (2008). Does how much and how you pay matter? Evidence from the inpatient rehabilitation care prospective payment system. Journal of Health Economics.

    health: 1insurance: 1public: 1

  100. Chatterjee, N., Chen, Y.-H., Maas, P., et al. (2016). Constrained Maximum Likelihood Estimation for Model Calibration Using Summary-level Information from External Big Data Sources. Journal of the American Statistical Association.

  101. Bauer, M. (2012). Restrictions on Risk Prices in Dynamic Term Structure Models.

    Bayesian: 1term structure: 1

  102. Habermann, D., Bulling, A., Radev, S. T., et al. (2026). Amortized Bayesian Inference on Multilevel Models of Arbitrary Structure.

    Bayesian: 1

  103. Prager, E., & Tilipman, N. (2025). Regulating Out-of-Network Hospital Payments: Disagreement Payoffs, Negotiated Prices, and Access.

    health: 1industrial organization: 1insurance: 1

  104. Brunnermeier, M. K., Lamba, R., & Segura-Rodriguez, C. (2020). Inverse Selection. SSRN Electronic Journal.

  105. Lee, K., Miguel, E., & Wolfram, C. (2020). Experimental Evidence on the Economics of Rural Electrification. Journal of Political Economy.

    econometrics: 1environmental: 1

  106. Bayle, G., Farolfi, S., Lavaine, E., et al. (2024). Solving conflict over common pool resources through delegation to a stakeholder. Journal of Economic Behavior & Organization.

    environmental: 1game theory: 1

  107. Palacios-Huerta, I. (2023). Maradona plays Minimax. Sports Economics Review.

    game theory: 1

  108. Frank, M. Z., & Goyal, V. K. (2003). Testing the pecking order theory of capital structure. Journal of Financial Economics.

    corporate finance: 1

  109. Russell, J., Rajendhran, R., Pham, C. M., et al. (2026). StoryScope: Investigating idiosyncrasies in AI fiction. arXiv.org.

    CL: 1ML: 1

  110. Ma, B., & Miyao, Y. (2026). The Imperfective Paradox in Large Language Models. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

    CL: 1ML: 1

  111. Chyn, E., & Daruich, D. (2025). An Equilibrium Analysis of the Effects of Neighborhood-Based Interventions on Children. American Economic Review.

  112. Chetty, R., & Saez, E. (2004). Dividend Taxes and Corporate Behavior: Evidence from the 2003 Dividend Tax Cut.

    corporate finance: 1

  113. Berendsen, J., Dur, R., & Kesternich, I. (2026). What Makes Life Meaningful? Tinbergen Institute Discussion Papers.

    happiness: 1

  114. Palmer, C. J. (2026). An IV Hazard Model of Loan Default with an Application to Subprime Mortgage Cohorts. The Journal of Finance.

    credit risk modeling: 1statistics: 1

  115. Chandra, A., Finkelstein, A., Sacarny, A., et al. (2016). Health Care Exceptionalism? Performance and Allocation in the US Health Care Sector. American Economic Review.

    health: 1

  116. Finkelstein, A., & McKnight, R. (2008). What did Medicare do? The initial impact of Medicare on mortality and out of pocket medical spending. Journal of Public Economics.

    health: 1insurance: 1public: 1

  117. Xu, Y., Zhao, A., & Ding, P. (2026). Factorial Difference-in-Differences. Journal of the American Statistical Association.

    econometrics: 1

  118. Bursztyn, L., González, A. L., & Yanagizawa-Drott, D. (2020). Misperceived Social Norms: Women Working Outside the Home in Saudi Arabia. The American Economic Review.

    gender: 1

  119. Shyam-Sunder, L., & C. Myers, S. (1999). Testing static tradeoff against pecking order models of capital structure. Journal of Financial Economics.

    corporate finance: 1

  120. Gruber, J., Howard, D. H., Leder-Luis, J., et al. (2025). Dying or Lying? For-Profit Hospices and End-of-Life Care. American Economic Review.

    health: 1public: 1

  121. Ciliberto, F., Murry, C., & Tamer, E. (2021). Market Structure and Competition in Airline Markets. Journal of Political Economy.

    industrial organization: 1

  122. Goolsbee, A., & Syverson, C. (2008). How do Incumbents Respond to the Threat of Entry? Evidence from the Major Airlines*. Quarterly Journal of Economics.

    industrial organization: 1

  123. Aguirregabiria, V., & Mira, P. (2007). Sequential Estimation of Dynamic Discrete Games. Econometrica.

    ddc: 1

  124. Rust, J. (1987). Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher. Econometrica.

    ddc: 2industrial organization: 2structural: 1

  125. Bilal, A., & Känzig, D. R. (2026). The Macroeconomic Impact of Climate Change: Global Versus Local Temperature. The Quarterly Journal of Economics.

    environmental: 1

  126. Hotz, V. J., & Miller, R. A. (1993). Conditional Choice Probabilities and the Estimation of Dynamic Models. The Review of Economic Studies.

    ddc: 2

  127. Schaumans, C., & Verboven, F. (2015). Entry and Competition in Differentiated Products Markets. Review of Economics and Statistics.

    industrial organization: 1

  128. Hadfield-Menell, D., & Hadfield, G. (2018). Incomplete Contracting and AI Alignment.

    adversarial ai: 1ai: 1

  129. Igami, M., & Sugaya, T. (2022). Measuring the Incentive to Collude: The Vitamin Cartels, 1990–99. The Review of Economic Studies.

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  130. Berry, S., Levinsohn, J., & Pakes, A. (1995). Automobile Prices in Market Equilibrium. Econometrica.

    industrial organization: 2

  131. Cooper, Z., Gibbons, S., & Skellern, M. (2018). Does competition from private surgical centres improve public hospitals' performance? Evidence from the English National Health Service. Journal of Public Economics.

    health: 1industrial organization: 1

  132. Brot, Z., Cooper, Z., Craig, S. V., et al. (2024). Is There Too Little Antitrust Enforcement in the US Hospital Sector? American Economic Review: Insights.

    health: 1industrial organization: 1

  133. Viviano, D., Wüthrich, K., & Niehaus, P. (2026). A Model of Multiple Hypothesis Testing. Review of Economic Studies.

    econometrics: 2

  134. Lemmon, M. L., Roberts, M. R., & Zender, J. F. (2008). Back to the Beginning: Persistence and the Cross‐Section of Corporate Capital Structure. The Journal of Finance.

    corporate finance: 1

  135. Chernozhukov, V., Wüthrich, K., & Zhu, Y. (2026). Debiasing and t -Tests for Synthetic Control Inference on Average Causal Effects. Journal of Political Economy.

    causal inference: 1econometrics: 1

  136. Wüthrich, K., & Zhu, Y. (2023). Omitted Variable Bias of Lasso-Based Inference Methods: A Finite Sample Analysis. Review of Economics and Statistics.

    econometrics: 1

  137. Elliott, G., Kudrin, N., & Wüthrich, K. (2022). Detecting p‐Hacking. Econometrica.

    p-hacking: 1

  138. Rambachan, A., Kleinberg, J., Ludwig, J., et al. (2020). An Economic Perspective on Algorithmic Fairness. AEA Papers and Proceedings.

  139. Ludwig, J., Mullainathan, S., & Rambachan, A. (2026). Large Language Models: An Applied Econometric Framework. Annual Review of Economics.

    causal inference: 1econometrics: 1llm: 1

  140. Andrews, I., & Kasy, M. (2019). Identification of and Correction for Publication Bias. American Economic Review.

    p-hacking: 1

  141. Ludwig, J., Mullainathan, S., & Spiess, J. (2019). Augmenting Pre-Analysis Plans with Machine Learning. AEA Papers and Proceedings.

  142. Mullainathan, S., & Spiess, J. (2017). Machine Learning: An Applied Econometric Approach. Journal of Economic Perspectives.

    causal inference: 1econometrics: 1llm: 1

  143. Jones, S., & Free, C. (2026). What accountants need to know about artificial intelligence and machine learning: a review and call for future research. Journal of Accounting Literature.

    accounting: 1

  144. Battaglini, M., Guiso, L., Lacava, C., et al. (2025). Refining public policies with machine learning: The case of tax auditing. Journal of Econometrics.

    public: 1tax: 1

  145. Feinstein, J. S. (1990). Detection Controlled Estimation. The Journal of Law and Economics.

    public: 1tax: 1

  146. Feinstein, J. S. (1999). Approaches for Estimating Noncompliance: Examples from Federal Taxation in the United States. The Economic Journal.

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  147. Slemrod, J. (2019). Tax Compliance and Enforcement. Journal of Economic Literature.

    public: 1tax: 1

  148. Bertanha, M., & Moreira, M. J. (2020). Impossible inference in econometrics: Theory and applications. Journal of Econometrics.

    econometrics: 1

  149. Bertanha, M., McCallum, A. H., & Seegert, N. (2023). Better bunching, nicer notching. Journal of Econometrics.

    bunching: 1causal inference: 1econometrics: 1

  150. Bertanha, M., Caetano, C., Jales, H., et al. (2024). Bunching Estimation Methods. Handbook of Labor, Human Resources and Population Economics.

    public: 1tax: 1

  151. Hausman, J. A. (1985). The Econometrics of Nonlinear Budget Sets. Econometrica.

    econometrics: 1

  152. Chernozhukov, V., Chetverikov, D., Demirer, M., et al. (2018). Double/debiased machine learning for treatment and structural parameters. The Econometrics Journal.

    econometrics: 1machine learning: 1statistics: 1

  153. Blomquist, S., Newey, W. K., Kumar, A., et al. (2021). On Bunching and Identification of the Taxable Income Elasticity. Journal of Political Economy.

    public: 1tax: 1

  154. Blomquist, S., & Newey, W. (2002). Nonparametric Estimation with Nonlinear Budget Sets. Econometrica.

    econometrics: 1

  155. Kleven, H. J. (2016). Bunching. Annual Review of Economics.

    public: 1

  156. Kleven, H. J. (2021). Sufficient Statistics Revisited. Annual Review of Economics.

    public: 1

  157. Chetty, R. (2009). Sufficient Statistics for Welfare Analysis: A Bridge Between Structural and Reduced-Form Methods. Annual Review of Economics.

    public: 2jmp: 1structural: 1sufficient-statistics: 1tax: 1

  158. Saez, E. (2001). Using Elasticities to Derive Optimal Income Tax Rates. The Review of Economic Studies.

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