Consistent estimation of polychotomous treatment effects with selection-bias and unobserved heterogeneity using panel data correlated random coefficients model-Reference-Cited by-同舟云学术

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Consistent estimation of polychotomous treatment effects with selection-bias and unobserved heterogeneity using panel data correlated random coefficients model

Published:2018-02-01 Issue:2 Volume:18 Page:75-95
ISSN:1387-3741
Container-title:Health Services and Outcomes Research Methodology
language:en
Short-container-title:Health Serv Outcomes Res Method

Author:

Kawatkar Aniket A.,Hay Joel W.,Stohl William,Nichol Michael B.

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health,Health Policy

Link

http://link.springer.com/article/10.1007/s10742-018-0177-4/fulltext.html

Reference47 articles.

1. Arellano, M., Bond, S.: Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Rev. Econ. Stud. 58(2), 277–297 (1991)

2. Arellano, M., Bover, O.: Another look at the instrumental variable estimation of error-components models. J. Econ. 68(1), 29–51 (1995)

3. Barrios, J.: Generalized sample selection bias correction under RUM. Econ. Lett. 85(1), 129–132 (2004)

4. Belsley, D.A., Kuh, E., Welsch, R.E.: Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. Wiley, New York (1980)

5. Blundell, R., Bond, S.: Initial conditions and moment restrictions in dynamic panel data models. J. Econ. 87(1), 115–143 (1998)

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