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Robust Dynamic Panel Data Model/Evidence
Method evidence record

Robust Dynamic Panel Data Model

The robust dynamic panel data model combines the dynamic panel GMM framework — which handles endogeneity from lagged dependent variables and unobserved heterogeneity — with robust covariance estimation that remains valid under heteroscedasticity and serial correlation. The Windmeijer finite-sample correction is the standard robust adjustment applied to two-step GMM estimators in this setting.

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Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Robust Dynamic Panel Data Model
Taxonomic method record · regression-model / econometrics
  • Arellano, M., & Bond, S. (1991). Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations. Review of Economic Studies, 58(2), 277–297. · DOI 10.2307/2297968
  • Windmeijer, F. (2005). A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal of Econometrics, 126(1), 25–51. · DOI 10.1016/j.jeconom.2004.02.005
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Related methods

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Taxonomic bucketArellano-Bond GMM estimatormachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDynamic Panel Data Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel Fixed Effects Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel System GMMmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Panel Data Analysismachine-suggested · Relational suggestion, not evidence.

Evidence status

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Sources

2 recorded citations, copied from the method source record.

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