Dealing with the common econometric problems of count data with excess zeros, endogenous treatment effects, and attrition bias

DOI10.1016/S0165-1765(98)00183-9zbMath0916.90195WikidataQ127663571 ScholiaQ127663571MaRDI QIDQ1277704

Deborah A. Freund, Thomas J. Kniesner, Anthony T. LoSasso

Publication date: 2 March 1999

Published in: Economics Letters (Search for Journal in Brave)

zbMATH Keywords

longitudinal count dataattrition biasendogenous treatment effectsmedical managed carezero inflated negative binomial regression

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Case-oriented studies in operations research (90B90) Statistical methods; economic indices and measures (91B82)

Related Items (2)

A bivariate zero-inflated negative binomial regression model for count data with excess zeros ⋮ Zero-inflated Poisson model in statistical process control.

Cites Work

• Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
• Estimating count data models with endogenous switching: sample selection and endogenous treatment effects

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