Two-part multiple spell models for health care demand

DOI10.1016/S0304-4076(01)00059-8zbMath0978.62107OpenAlexW3123685911WikidataQ63353177 ScholiaQ63353177MaRDI QIDQ5944501

Frank A. G. Windmeijer, João M. C. Santos Silva

Publication date: 5 February 2002

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0304-4076(01)00059-8

zbMATH Keywords

count datageneralised method of momentshurdle modelsnonparametric maximum likelihood estimatorstopped-sum distributions

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric hypothesis testing (62G10) Public goods (91B18)

Related Items (4)

Regression for copula-linked compound distributions with applications in modeling aggregate insurance claims ⋮ Hurdles and steps: Estimating demand for solar photovoltaics ⋮ Estimating saving functions in the presence of excessive‐zeros problems ⋮ Risk Classification for Claim Counts

Uses Software

• GAUSS

Cites Work

• Large Sample Properties of Generalized Method of Moments Estimators
• Maximum Likelihood Specification Testing and Conditional Moment Tests
• Diagnostic testing and evaluation of maximum likelihood models
• Estimating the dimension of a model
• A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data
• Testing for Neglected Heterogeneity
• Count data models with selectivity
• A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models
• An Efficient Semiparametric Estimator for Binary Response Models
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