Specification and simulated likelihood estimation of a non‐normal treatment‐outcome model with selection: Application to health care utilization

DOI10.1111/j.1368-423X.2006.00187.xzbMath1145.91383OpenAlexW1536890619MaRDI QIDQ5488519

Partha Deb, Pravin K. Trivedi

Publication date: 22 September 2006

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

Full work available at URL: https://doi.org/10.1111/j.1368-423x.2006.00187.x

zbMATH Keywords

managed carelatent factorsendogenous treatmenthealth care utilization

Mathematics Subject Classification ID

Statistical methods; economic indices and measures (91B82)

Related Items (4)

Biases in maximum simulated likelihood estimation of bivariate models ⋮ The heterogeneous impact of insurance on health care demand among young adults: a panel data analysis ⋮ Managed Care and Health Care Utilization: Specification of Bivariate Models Using Copulas ⋮ Testing exogeneity of multinomial regressors in count data models: does two-stage residual inclusion work?

Cites Work

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• Estimating count data models with endogenous switching: sample selection and endogenous treatment effects
• Discrete factor approximations in simultaneous equation models: Estimating the impact of a dummy endogenous variable on a continuous outcome
• Discrete Choice Methods with Simulation
• Making The Most Out Of Programme Evaluations and Social Experiments: Accounting For Heterogeneity in Programme Impacts

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