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