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Arellano-Bond GMM estimator/Evidence
Method evidence record

Arellano-Bond GMM estimator

The Arellano-Bond GMM estimator is the standard approach for dynamic panel data models in which the lagged dependent variable appears as a regressor. By first-differencing to remove fixed effects and using deeper lags as instruments, it yields consistent estimates even when the error is serially correlated and regressors are endogenous.

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

Arellano-Bond Generalized Method of Moments Estimator
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
  • Roodman, D. (2009). How to do xtabond2: An introduction to difference and system GMM in Stata. Stata Journal, 9(1), 86-136. · DOI 10.1177/1536867X0900900106
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketDifference GMMmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDynamic Panel Data Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFixed Effects Modelmachine-suggested · Relational suggestion, not evidence.See alsoInstrumental Variables in Health Researchmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel System GMMmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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