Specification and Simulated Likelihood Estimation of A Non-Formal Treatment-Outcome Model With Selection : Application to Health Care Utilization  

Oleh:

Trivedi, Pravin K. ; Deb, Partha

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: The Econometrics Journal vol. 9 no. 2 (2006), page 307-331.
Topik: health care; endogenous treatment; latent factors; managed care; health care utilization
Fulltext: 307.pdf (225.56KB)

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: EE39.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

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.

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