Dealing with the common econometric problems of count data with excess zeros, endogenous treatment effects, and attrition bias

Economics Letters

Volumn 62, Issue 1, 1999, Pages 7-12

  Freund, Deborah A ^a   Kniesner, Thomas J ^a   Losasso, Anthony T ^b  

^a INDIANA UNIVERSITY   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Attrition bias; C25; Endogenous treatment effects; I18; Longitudinal count data; Medicaid managed care; Zero inflated negative binomial regression

Indexed keywords

EID: 0033479926     PISSN: 01651765     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0165-1765(98)00183-9     Document Type: Article

References (6)

1. Greene, W.H., 1994. Accounting for excess zeros and sample selection in Poisson and negative binomial regression models. Working Paper EC-94-10, Department of Economics, New York University.
2. Greene, W.H., 1997. Econometric Analysis, 3rd ed. Prentice-Hall, Upper Saddle River, NJ.
3. Hurley, R.E., Freund, D.A., Paul, J.E., 1993. Managed Care in Medicaid: Lessons for Policy and Program Design. Health Administration Press, Ann Arbor, MI.
4. Murphy K., Topel R. Estimation and inference in two step econometric models. Journal of Business and Economic Statistics. 3:1985;370-379.
5. Terza J.V. Estimating count data models with endogenous switching: sample selection and endogenous treatment effects. Journal of Econometrics. 84:1998;129-154.
6. Vuong Q.H. Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica. 57:1989;307-333.