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Semi-Nonparametric Estimation of Binary Choice Models Using Panel Data: An Application to the Innovative Activity of German Firms

Published online by Cambridge University Press:  17 August 2016

François Laisney ,
Michael Lechner  and
Winfried Pohlmeier
François Laisney
Affiliation:
Université Louis Pasteur, Strasbourg, and ZEW, Mannheim
Michael Lechner
Affiliation:
Universität Mannheim
Winfried Pohlmeier
Affiliation:
Universität Mannheim
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Summary

This paper presents an extension of Chamberlain's approach to modelling correlated random effects in a dichotomous model estimated on panel data. The extension consists in relaxing the arbitrary normality assumption made on all error terms and on specifying instead a SNP distribution for the composite error term resulting in each wave from Chamberlain's treatment of correlated random effects. An application to a panel of 1325 German firms illustrates the feasibility of the approach.

Résumé

Résumé

Cet article présente une extension de l'approche de Chamberlain de la modélisation des chocs aléatoires corrélés dans un modèle à variables binaires estimé sur données d'échantillon. L'extension consiste en l'abandon de l'hypothèse arbitraire de normalité des résidus et le remplacement de celle-ci par une distribution SNP sur les résidus composites résultant du traitement à la Chamberlain des chocs aléatoires corrélés. Une application à un échantillon de 1325 firmes allemandes illustre la faisabilité d'une telle approche.

Keywords

C14C23C25C14C23C25
Type
Part II: Productivity Slowdown and Innovative Activity
Information
Recherches Économiques de Louvain/ Louvain Economic Review , Volume 58 , Issue 3-4: Output and Employment Fluctuations , 1992 , pp. 329 - 343
Copyright
Copyright © Université catholique de Louvain, Institut de recherches économiques et sociales 1992 

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Footnotes

(*)

Support from the Deutsche Forschungsgemeinschaft is gratefully acknowledged. We also wish to thank our colleagues in Mannheim, as well as three anonymous referees, for helpful comments.

References

REFERENCES

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