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Author: Andini, Corrado
Resulting in 3 citations.
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Andini, Corrado |
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How Well Does a Dynamic Mincer Equation Fit NLSY Data? Evidence Based on a Simple Wage-Bargaining Model Empirical Economics 44,3 (June 2013): 1519-1543. Also: http://link.springer.com/article/10.1007/s00181-012-0581-5 Cohort(s): NLSY79 Publisher: Springer Keyword(s): Modeling; Statistical Analysis; Unemployment Compensation; Wages Permission to reprint the abstract has not been received from the publisher. This article argues that a dynamic Mincer equation can be seen as the solution of a simple wage-bargaining model between a worker and an employer where the unemployment-benefit level, affecting the outside option of the worker, depends on past wages. Further, it shows that this model provides a good fit of the US National Longitudinal Survey of Youth data. The evidence is robust to a number of sensitivity checks. |
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Bibliography Citation
Andini, Corrado. "How Well Does a Dynamic Mincer Equation Fit NLSY Data? Evidence Based on a Simple Wage-Bargaining Model." Empirical Economics 44,3 (June 2013): 1519-1543.
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Andini, Corrado |
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Persistence Bias and the Wage-Schooling Model IZA Discussion Paper No. 7186, Institute for the Study of Labor (IZA), January 2013. Also: http://ftp.iza.org/dp7186.pdf Cohort(s): NLSY79 Publisher: Institute for the Study of Labor (IZA) Keyword(s): Earnings; Modeling, OLS; Schooling; Wage Dynamics Permission to reprint the abstract has not been received from the publisher. This paper provides an expression for the bias of the OLS estimator of the schooling coefficient in a simple static wage-schooling model where earnings persistence is not accounted for. It is argued that the OLS estimator of the schooling coefficient is biased upward, and the bias is increasing with potential labor-market experience and the degree of earnings persistence. In addition, NLSY data are used to show that the magnitude of the persistence bias is non-negligible, and the bias cannot be cured by increasing the control set. Further, it is shown that disregarding earnings persistence is still problematic for the estimation of the schooling coefficient even if individual unobserved heterogeneity and endogeneity are taken into account. Overall, the findings support the dynamic approach to the estimation of wage-schooling models recently suggested by Andini (2012; 2013). |
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Bibliography Citation
Andini, Corrado. "Persistence Bias and the Wage-Schooling Model." IZA Discussion Paper No. 7186, Institute for the Study of Labor (IZA), January 2013. |
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Andini, Corrado |
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Returns to Education and Wage Equations: a Dynamic Approach Applied Economics Letters 14,8 (June 2007): 577-579. Also: http://www.tandfonline.com/doi/abs/10.1080/13504850500461555 Cohort(s): NLSY79 Publisher: Routledge ==> Taylor & Francis (1998) Keyword(s): Education; Educational Returns; Modeling; Wage Differentials; Wage Equations We study the impact of education on within-groups wage inequality using quantile-regression techniques and U.S. data for the period of 1980-1987. Our contribution consists of comparing estimates based on a standard Mincer equation with estimates based on a modified Mincer equation in which past earnings play the role of additional explanatory variable. We find that a dynamic model does not give the same answer as a static model regarding the impact of schooling on earnings dispersion, and provide an explanation for this result. [Abstract from the Author] Data are from the U.S. National Longitudinal Survey of Youth for the period of 1980-1987 |
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Bibliography Citation
Andini, Corrado. "Returns to Education and Wage Equations: a Dynamic Approach." Applied Economics Letters 14,8 (June 2007): 577-579.
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