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

机译:具有选择的非正常治疗结果模型的规范和模拟似然估计:在医疗保健利用中的应用

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摘要

We develop a specification and estimation framework for a class of nonlinear, non-normal microeconometric models of treatment and outcome with selection. A latent factor structure is used to accommodate selection into treatment and a simulated likelihood method is used for estimation. The methodology is applied to examine the causal effect of managed care, a multinomial discrete choice process, on the utilization of health care services, measured as binary indicators and counts. The results indicate that there are significant unobserved self-selection effects and these effects substantially change the estimated effects of insurance on utilization.
机译:我们为处理和选择结果的非线性,非正常微计量经济学模型开发了规范和估计框架。潜在因素结构用于适应治疗选择,模拟似然法用于估计。该方法适用于检查管理医疗(多项离散选择过程)对医疗服务利用的因果效应,以二元指标和计数来衡量。结果表明,存在重大的未观察到的自我选择效应,并且这些效应大大改变了保险对使用率的估计效应。

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