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GMM Estimation of Count-Panel-Data Models with Fixed Effects and Predetermined Instruments

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  • Montalvo, Jose G

Abstract

The 'traditional' approach to the estimation of count panel data models with fixed effects is the conditional maximum-likelihood estimator. This paper proposed a GMM estimator for count panel data models with fixed effects, based on a transformation of the conditional mean specification, that is consistent even when the explanatory variables are predetermined. Two applications are discussed: the relationship between patents and R&D expenditures and the explanation of technology transfer.

Suggested Citation

  • Montalvo, Jose G, 1997. "GMM Estimation of Count-Panel-Data Models with Fixed Effects and Predetermined Instruments," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 82-89, January.
    • Handle: RePEc:bes:jnlbes:v:15:y:1997:i:1:p:82-89
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