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Panel Dynamic Panel Data Model/Evidence
Method evidence record

Panel Dynamic Panel Data Model

The dynamic panel data model extends standard panel regression by including one or more lagged values of the outcome variable as regressors. Because past outcomes directly predict current outcomes, the model captures persistence and adjustment dynamics — but it also introduces a correlation between the lagged dependent variable and the individual fixed effect, rendering OLS and standard fixed-effects estimators inconsistent. GMM-based approaches developed by Arellano-Bond and Blundell-Bond resolve this problem.

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

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
  • Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. · DOI 10.1016/S0304-4076(98)00009-8
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Related methods

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

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 Random Effects Modelmachine-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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