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Author: Butler, J. S.
Resulting in 2 citations.
1. Bichaka, Fayissa
Danyal, Shah
Butler, J. S.
The Impact of Education on Health Status: Evidence from Longitudinal Survey Data
Working Paper, Department of Economics and Finance Working Paper Series, Middle Tennessee State University, February 2011.
Also: http://frank.mtsu.edu/~berc/working/Economics_Working_Papers.html
Cohort(s): NLSY79
Publisher: Department of Economics and Finance, Middle Tennessee State University
Keyword(s): Educational Attainment; Endogeneity; Health/Health Status/SF-12 Scale; Heterogeneity; Human Capital; Modeling, Fixed Effects

Permission to reprint the abstract has not been received from the publisher.

Using the NLSY79 panel data set from 1979-2006 for a cross-section of 12,686 individuals, this paper investigates the effect of educational attainment on the health status of an individual as measured by “the inability to work for health reasons.” The present study bridges the gap in the literature by using the fixed-effects model, random-effects model, between-effects, and the Arellano-Bond dynamic model to analyze the impact of education on health status. We use these alternative models to control unobserved heterogeneity. Educational attainment has a statistically significant and positive effect on the quality of an individual’s health status.
Bibliography Citation
Bichaka, Fayissa, Shah Danyal and J. S. Butler. "The Impact of Education on Health Status: Evidence from Longitudinal Survey Data." Working Paper, Department of Economics and Finance Working Paper Series, Middle Tennessee State University, February 2011.
2. Butler, J. S.
Moffitt, Robert A.
A Computationally Efficient Quadrature Procedure for the One-Factor Multinomial Probit Model
Econometrica 50,3 (May 1982): 761-764.
Also: http://www.jstor.org/stable/1913405
Cohort(s): Young Women
Publisher: Department of Economics, Northwestern University
Keyword(s): Modeling, Probit; Research Methodology

Permission to reprint the abstract has not been received from the publisher.

In this note, the authors point out that the use of Gaussian quadrature is extremely efficient and is well within the bounds of computational feasibility on modern computers. They state the nature of the integrals that need to be evaluated, provide a brief exposition of Gaussian quadrature, and provide a numerical illustration of its use in estimating a one-factor multinomial probit model.
Bibliography Citation
Butler, J. S. and Robert A. Moffitt. "A Computationally Efficient Quadrature Procedure for the One-Factor Multinomial Probit Model." Econometrica 50,3 (May 1982): 761-764.