Asymptotic Theory for Clustered Samples

Untitled work

(2001) · RePEc: Research Papers in Economics · Cited by 27,577 · see citing works

Longitudinal data analysis using generalized linear models

LIANG, K.-Y., & ZEGER, S. L. (1986) · Biometrika · doi:10.1093/biomet/73.1.13 · Cited by 18,550 · see citing works

How Much Should We Trust Differences-in-Differences Estimates?

Bertrand, M., Duflo, E., & Mullainathan, S. (2004) · The Quarterly Journal of Economics · doi:10.1162/003355304772839588 · Cited by 10,641 · see citing works

A Practitioner’s Guide to Cluster-Robust Inference

Colin Cameron, A., & Miller, D. L. (2015) · Journal of Human Resources · doi:10.3368/jhr.50.2.317 · Cited by 5,037 · see citing works

Bootstrap-Based Improvements for Inference With Clustered Errors

Cameron, A. C., Gelbach, J. B., & Miller, D. L. (2008) · Review of Economics and Statistics · doi:10.1162/rest.90.3.414 · Cited by 4,417 · see citing works

Regression standard errors in clustered samples

Rogers, W. H. (1993) · Stata technical bulletin · Cited by 2,775 · see citing works

Mostly Harmless Econometrics: An Empiricist's Companion

Kmenta, J. (2010) · Business Economics · doi:10.1057/be.2009.37 · Cited by 2,617 · see citing works

An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Units

Moulton, B. R. (1990) · The Review of Economics and Statistics · doi:10.2307/2109724 · Cited by 2,567 · see citing works

Large sample estimation and hypothesis testingPreprint

Newey, W. K., & McFadden, D. L. (1986) · RePEc: Research Papers in Economics · Cited by 2,192 · see citing works

Random group effects and the precision of regression estimates

Moulton, B. R. (1986) · Journal of Econometrics · doi:10.1016/0304-4076(86)90021-7 · Cited by 1,574 · see citing works

PRACTITIONERS’ CORNER: Computing Robust Standard Errors for Within‐groups Estimators *

Arellano, M. (1987) · Oxford Bulletin of Economics and Statistics · doi:10.1111/j.1468-0084.1987.mp49004006.x · Cited by 1,456 · see citing works

Asymptotic Theory for Econometricians.

Robinson, P. M., & White, H. (1988) · Economica · doi:10.2307/2554258 · Cited by 1,333 · see citing works

Inference with Difference-in-Differences and Other Panel Data

Donald, S. G., & Lang, K. (2007) · Review of Economics and Statistics · doi:10.1162/rest.89.2.221 · Cited by 1,324 · see citing works

Cluster-Sample Methods in Applied Econometrics

Wooldridge, J. M. (2003) · American Economic Review · doi:10.1257/000282803321946930 · Cited by 1,183 · see citing works

Inference with “Difference in Differences” with a Small Number of Policy Changes

Conley, T. G., & Taber, C. R. (2011) · Review of Economics and Statistics · doi:10.1162/rest_a_00049 · Cited by 633 · see citing works

Asymptotic Theory for Econometricians

(1984) · Elsevier eBooks · doi:10.1016/c2009-0-21869-1 · Cited by 573 · see citing works

Wild Bootstrap Inference for Wildly Different Cluster Sizes

MacKinnon, J. G., & Webb, M. D. (2016) · Journal of Applied Econometrics · doi:10.1002/jae.2508 · Cited by 461 · see citing works

The wild bootstrap for few (treated) clusters

MacKinnon, J. G., & Webb, M. D. (2018) · The Econometrics Journal · doi:10.1111/ectj.12107 · Cited by 317 · see citing works

t -Statistic Based Correlation and Heterogeneity Robust Inference

Ibragimov, R., & Müller, U. K. (2009) · Journal of Business and Economic Statistics · doi:10.1198/jbes.2009.08046 · Cited by 300 · see citing works

Generic Uniform Convergence

Andrews, D. W. K. (1992) · Econometric Theory · doi:10.1017/s0266466600012780 · Cited by 298 · see citing works

Asymptotic properties of a robust variance matrix estimator for panel data when is large

Hansen, C. B. (2007) · Journal of Econometrics · doi:10.1016/j.jeconom.2006.10.009 · Cited by 293 · see citing works

Robust Standard Errors in Small Samples: Some Practical Advice

Imbens, G. W., & Kolesár, M. (2016) · The Review of Economics and Statistics · doi:10.1162/rest_a_00552 · Cited by 270 · see citing works

Handbook of Empirical Economics and Finance

(2010) · Chapman & Hall/CRC eBooks · doi:10.1201/b10440 · Cited by 259 · see citing works

Inference with dependent data using cluster covariance estimators

Bester, C. A., Conley, T. G., & Hansen, C. B. (2011) · Journal of Econometrics · doi:10.1016/j.jeconom.2011.01.007 · Cited by 258 · see citing works

Robust Inference with Clustered Data

Cameron, A. C., & Miller, D. L. (2010) · Statistics, a series of textbooks and monographs · doi:10.1201/b10440-2 · Cited by 221 · see citing works

The large sample behaviour of the generalized method of moments estimator in misspecified models

Hall, A. R., & Inoue, A. (2003) · Journal of Econometrics · doi:10.1016/s0304-4076(03)00089-7 · Cited by 166 · see citing works

Randomization Tests Under an Approximate Symmetry Assumption

Canay, I. A., Romano, J. P., & Shaikh, A. M. (2017) · Econometrica · doi:10.3982/ecta13081 · Cited by 125 · see citing works

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Carter, A. V., Schnepel, K., & Steigerwald, D. G. (2016) · The Review of Economics and Statistics · doi:10.1162/rest_a_00639 · Cited by 121 · see citing works

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Etemadi, N. (2006) · Proceedings of the American Mathematical Society · doi:10.1090/s0002-9939-06-08296-7 · Cited by 45 · see citing works

Asymptotic refinements of a misspecification-robust bootstrap for generalized method of moments estimators

Lee, S. (2013) · Journal of Econometrics · doi:10.1016/j.jeconom.2013.05.008 · Cited by 24 · see citing works

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