NDLI: Models for count data with endogenous participation

Content Provider	Springer Nature Link
Author	Greene, William
Copyright Year	2008
Abstract	We present several extensions of the Poisson and negative binomial models for count data based on the lognormal model for latent heterogeneity in the conditional means. The lognormal model provides a versatile specification that is more flexible than the familiar log gamma form, and provides a platform for several “two part” extensions that have appeared in the literature, including zero inflation, hurdle and sample selection models. We then extend these received two- part models by allowing for endogeneity of the participation equation. We conclude with a detailed application using the data employed in a recent study of the German health care system.
Starting Page	133
Ending Page	173
Page Count	41
File Format	PDF
ISSN	03777332
Journal	Empirical Economics
Volume Number	36
Issue Number	1
e-ISSN	14358921
Language	English
Publisher	Springer-Verlag
Publisher Date	2008-03-28
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Poisson regression Count data Heterogeneity Lognormal Two part model Statistics for Business/Economics/Mathematical Finance/Insurance Econometrics Economics general Economic Theory
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability Social Sciences Economics and Econometrics

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Models for count data with endogenous participation