Jeffrey M. Wooldridge
Affiliations: | Economics | Michigan State University, East Lansing, MI |
Area:
General Economics, StatisticsGoogle:
"Jeffrey Wooldridge"Cross-listing: Econometree
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Publications
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Abadie A, Athey S, Imbens GW, et al. (2020) Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis Econometrica. 88: 265-296 |
Lu C, Wooldridge JM. (2020) A GMM estimator asymptotically more efficient than OLS and WLS in the presence of heteroskedasticity of unknown form Applied Economics Letters. 27: 997-1001 |
Wooldridge JM, Zhu Y. (2020) Inference in Approximately Sparse Correlated Random Effects Probit Models With Panel Data Journal of Business & Economic Statistics. 38: 1-18 |
Wooldridge JM. (2020) On the consistency of the logistic quasi-MLE under conditional symmetry Economics Letters. 194: 109363 |
Chandar BK, Hortaçsu A, List JA, et al. (2019) Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings Natural Field Experiments |
Wooldridge JM. (2019) Correlated random effects models with unbalanced panels Journal of Econometrics. 211: 137-150 |
Słoczyński T, Wooldridge JM. (2018) A General Double Robustness Result for Estimating Average Treatment Effects Econometric Theory. 34: 112-133 |
Vosters KN, Guarino CM, Wooldridge JM. (2018) Understanding and evaluating the SAS® EVAAS® Univariate Response Model (URM) for measuring teacher effectiveness Economics of Education Review. 66: 191-205 |
Stacy B, Guarino CM, Reckase MD, et al. (2018) Does the Precision and Stability of Value-Added Estimates of Teacher Performance Depend on the Types of Students They Serve? Economics of Education Review. 64: 50-74 |
Boyle KJ, Wooldridge JM. (2018) Understanding Error Structures and Exploiting Panel Data in Meta-analytic Benefit Transfers Environmental and Resource Economics. 69: 609-635 |