clovisthegreat.papers.club
~clovisthegreat.papers.club
92 papers, 55 read, 37 to read
groups: none
Iacovone, L., McKenzie, D., & Meager, R. (2025). Bayesian Impact Evaluation With Informative Priors: An Application to a Colombian Management and Export Improvement Program. Econometrica.
Adusumilli, K., & Vemulapati, A. (2026). Designing Persuasive Experiments.
Spiess, J. (2025). Optimal Estimation When Researcher and Social Preferences Are Misaligned. Econometrica.
Milone, M., & Perez Silva, A. (2026). On the Efficiency of Inspection Targeting.
Tetenov, A., Kitagawa, T., & Sakaguchi, S. (2023). Constrained Classification and Policy Learning.
Kitagawa, T., Kato, M., Okumura, K., et al. (2024). Adaptive Experimental Design for Policy Learning.
Kitagawa, T., & Tetenov, A. (2018). Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice. Econometrica.
Rajan, R. G., & Zingales, L. (1995). What Do We Know about Capital Structure? Some Evidence from International Data. The Journal of Finance.
Berry, S., Levinsohn, J., & Pakes, A. (1995). Automobile Prices in Market Equilibrium. Econometrica.
Callaway, B., & Sant’Anna, P. H. (2021). Difference-in-Differences with multiple time periods. Journal of Econometrics.
Nevo, A. (2000). Mergers with Differentiated Products: The Case of the Ready-to-Eat Cereal Industry. The RAND Journal of Economics.
Gupta, A., La Forgia, A., & Sacarny, A. (2026). Turbocharging Profits? Contract Gaming and Revenue Allocation in Healthcare. American Economic Journal: Applied Economics.
Chetty, R., & Saez, E. (2004). Dividend Taxes and Corporate Behavior: Evidence from the 2003 Dividend Tax Cut.
Frank, M. Z., & Goyal, V. K. (2003). Testing the pecking order theory of capital structure. Journal of Financial Economics.
Shyam-Sunder, L., & C. Myers, S. (1999). Testing static tradeoff against pecking order models of capital structure. Journal of Financial Economics.
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.
Bhattacharya, S., Fan, J., & Mukherjee, D. (2024). Deep Neural Networks for Nonparametric Interaction Models with Diverging Dimension. Annals of Statistics.
Liebersohn, J., & Rothstein, J. (2025). Household mobility and mortgage rate lock. Journal of Financial Economics.
Pollard, D. (2011). Some thoughts on Le Cam's statistical decision theory.
Roche, M. P., Oettl, A., & Catalini, C. (2024). Proximate (Co-)Working: Knowledge Spillovers and Social Interactions. Management Science.
Hines, O., Dukes, O., Diaz-Ordaz, K., et al. (2022). Demystifying statistical learning based on efficient influence functions. The American Statistician.
Halvorsen, E., Hubmer, J., Ozkan, S., et al. (2026). Why Are the Wealthiest So Wealthy? New Longitudinal Empirical Evidence and Implications for Theories of Wealth Inequality. Econometrica.
Kennedy, E. H. (2022). Semiparametric doubly robust targeted double machine learning: a review.
Sraer, D., & Thesmar, D. (2023). How to Use Natural Experiments to Estimate Misallocation. American Economic Review.
Rust, J. (1987). Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher. Econometrica.
Budish, E., Roin, B. N., & Williams, H. (2015). Do Firms Underinvest in Long-Term Research? Evidence from Cancer Clinical Trials. American Economic Review.
Angelopoulos, A. N., Bates, S., Fannjiang, C., et al. (2023). Prediction-powered inference. Science.
Note: 6 page article
Saez, E. (2010). Do Taxpayers Bunch at Kink Points? American Economic Journal: Economic Policy.
Best, M. C., Cloyne, J. S., Ilzetzki, E., et al. (2020). Estimating the Elasticity of Intertemporal Substitution Using Mortgage Notches. The Review of Economic Studies.
Chetty, R., Friedman, J. N., Olsen, T., et al. (2011). Adjustment Costs, Firm Responses, and Micro vs. Macro Labor Supply Elasticities: Evidence from Danish Tax Records. The Quarterly Journal of Economics.
Best, M. C., & Kleven, H. J. (2018). Housing Market Responses to Transaction Taxes: Evidence From Notches and Stimulus in the U.K. The Review of Economic Studies.
Ding, J., Jiang, L., Msall, L., et al. (2024). Consumer-Financed Fiscal Stimulus: Evidence from Digital Coupons in China.
Kleven, H. J., & Waseem, M. (2013). Using Notches to Uncover Optimization Frictions and Structural Elasticities: Theory and Evidence from Pakistan. The Quarterly Journal of Economics.
Manoli, D., & Weber, A. (2016). Nonparametric Evidence on the Effects of Financial Incentives on Retirement Decisions. American Economic Journal: Economic Policy.
Sallee, J. M., & Slemrod, J. (2012). Car Notches: Strategic Automaker Responses to Fuel Economy Policy. Journal of Public Economics.
Ramnath, S. (2013). Taxpayers' Responses to Tax-Based Incentives for Retirement Savings: Evidence from the Saver's Credit Notch. Journal of Public Economics.
Andrews, I., & Farboodi, M. (n.d.). Do Markets Believe in Transformative AI?
Schwartz, M. D., Andrews, I., & Shapiro, J. M. (n.d.). An LLM Workflow That Reproduces, Improves, and Extends Published Economics Research.
Andrews, I., Gentzkow, M., & Shapiro, J. M. (2020). On the Informativeness of Descriptive Statistics for Structural Estimates. Econometrica.
Epanomeritakis, A., & Viviano, D. (n.d.). Learning What to Learn: Experimental Design when Combining Experimental with Observational Evidence.
Hadfield-Menell, D., & Hadfield, G. (2018). Incomplete Contracting and AI Alignment.
Andrews, I., Barahona, N., Gentzkow, M., et al. (2025). Structural Estimation Under Misspecification: Theory and Implications for Practice. The Quarterly Journal of Economics.
Lester, R., & Olbert, M. (2025). Firms’ real and reporting responses to taxation: A review. Journal of Accounting and Economics.
Heckman, J. J. (2008). The Effect of Prayer on God's Attitude Toward Mankind.
Gruber, J., & Saez, E. (2002). The elasticity of taxable income: evidence and implications. Journal of Public Economics.
Mirrlees, J. A. (1971). An Exploration in the Theory of Optimum Income Taxation. The Review of Economic Studies.
Piketty, T., & Saez, E. (2003). Income Inequality in the United States, 1913-1998. The Quarterly Journal of Economics.
Saez, E., & Zucman, G. (2016). Wealth Inequality in the United States since 1913: Evidence from Capitalized Income Tax Data *. The Quarterly Journal of Economics.
Chetty, R., Hendren, N., Kline, P., et al. (2014). Where is the land of Opportunity? The Geography of Intergenerational Mobility in the United States *. The Quarterly Journal of Economics.
Chetty, R., Friedman, J. N., Hilger, N., et al. (2011). How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star. The Quarterly Journal of Economics.
Diamond, P., & Saez, E. (2011). The Case for a Progressive Tax: From Basic Research to Policy Recommendation. Journal of Economic Perspectives.
Saez, E., Slemrod, J., & Giertz, S. H. (2012). The Elasticity of Taxable Income with Respect to Marginal Tax Rates: A Critical Review. Journal of Economic Literature.
Kleven, H. J., Knudson, M. B., Kreiner, C. T., et al. (2011). Unwilling or Unable to Cheat? Evidence From a Tax Audit Experiment in Denmark. Econometrica.
Saez, E. (2001). Using Elasticities to Derive Optimal Income Tax Rates. The Review of Economic Studies.
Chetty, R. (2009). Sufficient Statistics for Welfare Analysis: A Bridge Between Structural and Reduced-Form Methods. Annual Review of Economics.
Kleven, H. J. (2021). Sufficient Statistics Revisited. Annual Review of Economics.
Kleven, H. J. (2016). Bunching. Annual Review of Economics.
Blomquist, S., & Newey, W. (2002). Nonparametric Estimation with Nonlinear Budget Sets. Econometrica.
Blomquist, S., Newey, W. K., Kumar, A., et al. (2021). On Bunching and Identification of the Taxable Income Elasticity. Journal of Political Economy.
Blomquist, S., Hausman, J. A., & Newey, W. K. (2023). The Econometrics of Nonlinear Budget Sets. Annual Review of Economics.
Chernozhukov, V., Chetverikov, D., Demirer, M., et al. (2018). Double/debiased machine learning for treatment and structural parameters. The Econometrics Journal.
Chernozhukov, V., Newey, W. K., & Singh, R. (2022). Automatic Debiased Machine Learning of Causal and Structural Effects. Econometrica.
Hausman, J. A. (1985). The Econometrics of Nonlinear Budget Sets. Econometrica.
Bertanha, M., Caetano, C., Jales, H., et al. (2024). Bunching Estimation Methods. Handbook of Labor, Human Resources and Population Economics.
Bertanha, M., McCallum, A. H., & Seegert, N. (2023). Better bunching, nicer notching. Journal of Econometrics.
Bertanha, M., & Moreira, M. J. (2020). Impossible inference in econometrics: Theory and applications. Journal of Econometrics.
Slemrod, J. (2019). Tax Compliance and Enforcement. Journal of Economic Literature.
Feinstein, J. S. (1999). Approaches for Estimating Noncompliance: Examples from Federal Taxation in the United States. The Economic Journal.
Feinstein, J. S. (1990). Detection Controlled Estimation. The Journal of Law and Economics.
Battaglini, M., Guiso, L., Lacava, C., et al. (2025). Refining public policies with machine learning: The case of tax auditing. Journal of Econometrics.
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.
Mullainathan, S., & Spiess, J. (2017). Machine Learning: An Applied Econometric Approach. Journal of Economic Perspectives.
Ludwig, J., Mullainathan, S., & Spiess, J. (2019). Augmenting Pre-Analysis Plans with Machine Learning. AEA Papers and Proceedings.
Andrews, I., & Kasy, M. (2019). Identification of and Correction for Publication Bias. American Economic Review.
Ludwig, J., Mullainathan, S., & Rambachan, A. (2026). Large Language Models: An Applied Econometric Framework. Annual Review of Economics.
Rambachan, A., Kleinberg, J., Ludwig, J., et al. (2020). An Economic Perspective on Algorithmic Fairness. AEA Papers and Proceedings.
Elliott, G., Kudrin, N., & Wüthrich, K. (2022). Detecting p‐Hacking. Econometrica.
Wüthrich, K., & Zhu, Y. (2023). Omitted Variable Bias of Lasso-Based Inference Methods: A Finite Sample Analysis. Review of Economics and Statistics.
Chernozhukov, V., Wüthrich, K., & Zhu, Y. (2026). Debiasing and t -Tests for Synthetic Control Inference on Average Causal Effects. Journal of Political Economy.
Viviano, D., Wüthrich, K., & Niehaus, P. (2026). A Model of Multiple Hypothesis Testing. Review of Economic Studies.
Hampole, M., Papanikolaou, D., Schmidt, L. D. W., et al. (2026). Artificial Intelligence and the Labor Market.
Reiss, P. C., & Spiller, P. T. (1989). Competition and Entry in Small Airline Markets. The Journal of Law and Economics.
Caner, M. (2009). Lasso-Type GMM Estimator. Econometric Theory.
Gowrisankaran, G., Nevo, A., & Town, R. (2015). Mergers When Prices Are Negotiated: Evidence from the Hospital Industry. American Economic Review.
Tibshirani, R. (2023). Conformal Prediction.
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.
Jacot, A., Gabriel, F., & Hongler, C. (2018). Neural Tangent Kernel: Convergence and Generalization in Neural Networks. Advances in Neural Information Processing Systems.
Srivastava, N., Hinton, G., Krizhevsky, A., et al. (2014). Dropout: A Simple Way to Prevent Neural Networks from Overfitting. Journal of Machine Learning Research.
Bishop, C. M. (1995). Training with Noise is Equivalent to Tikhonov Regularization. Neural Computation.
Solon, G., Haider, S. J., & Wooldridge, J. M. (2015). What Are We Weighting For? Journal of Human Resources.
Chen, L., Pelger, M., & Zhu, J. (2019). Deep Learning in Asset Pricing.
Abraham, C., & Goldblatt, C. (2023). Changes in Relative Humidity Profiles over Earth’s Oceans in a Warming Climate: A Satellite-Data-Based Inference.
No papers tagged [adaptive learning] here.
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