stats.club
a list by Brice
49 papers · 1 follower
Aggregates all of the statistics related tags into a single list
- papers tagged asymptotics semiparametric inference ml econometrics time series
- papers tagged ml, in category machine learning
- papers tagged time series, in category time series
- papers tagged bayesian, in category bayes
- papers tagged ddc, in category dynamics
- papers tagged causal inference, in category causal inference
- papers added by hand (3)
tagged econometrics clear
Solon, G., Haider, S. J., & Wooldridge, J. M. (2015). What Are We Weighting For? Journal of Human Resources.
Chernozhukov, V., Newey, W. K., & Singh, R. (2022). Automatic Debiased Machine Learning of Causal and Structural Effects. Econometrica.
Vohra, V., & Goldin, J. (2024). Identifying the Cumulative Causal Effect of a Non-Binary Treatment from a Binary Instrument. Review of Economics and Statistics.
Diebold, F. X., & Li, C. (2003). Forecasting the Term Structure of Government Bond Yields. Working Paper Series.
Lee, K., Miguel, E., & Wolfram, C. (2020). Experimental Evidence on the Economics of Rural Electrification. Journal of Political Economy.
Xu, Y., Zhao, A., & Ding, P. (2026). Factorial Difference-in-Differences. Journal of the American Statistical Association.
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.
Ludwig, J., Mullainathan, S., & Rambachan, A. (2026). Large Language Models: An Applied Econometric Framework. Annual Review of Economics.
Mullainathan, S., & Spiess, J. (2017). Machine Learning: An Applied Econometric Approach. Journal of Economic Perspectives.
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.
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.
Blomquist, S., & Newey, W. (2002). Nonparametric Estimation with Nonlinear Budget Sets. Econometrica.
Heckman, J. J. (2008). The Effect of Prayer on God's Attitude Toward Mankind.
Iacovone, L., McKenzie, D., & Meager, R. (2025). Bayesian Impact Evaluation With Informative Priors: An Application to a Colombian Management and Export Improvement Program. Econometrica.
Spiess, J. (2025). Optimal Estimation When Researcher and Social Preferences Are Misaligned. Econometrica.
Adusumilli, K., & Vemulapati, A. (2026). Designing Persuasive Experiments.
Kitagawa, T., & Tetenov, A. (2018). Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice. Econometrica.
Callaway, B., & Sant’Anna, P. H. (2021). Difference-in-Differences with multiple time periods. Journal of Econometrics.
Zhang, W. (2026). Unlocking Density: Impacts of Small-Scale Rezoning on Housing Supply and Property Values in Edmonton. 2026 Annual Meeting, July 26 - 28, 2026, Kansas City, Missouri.
Matthew A. Turner, A. H. W. v. d. K. (2014). Land Use Regulation and Welfare. Econometrica.
Borusyak, K., Hull, P., & Jaravel, X. (2025). A Practical Guide to Shift-Share Instruments. Journal of Economic Perspectives.
Gandhi, A., Navarro, S., & Rivers, D. A. (2020). On the Identification of Gross Output Production Functions. Journal of Political Economy.
Arcidiacono, P., & Miller, R. A. (2011). Conditional Choice Probability Estimation of Dynamic Discrete Choice Models With Unobserved Heterogeneity. Econometrica.