G2TT
来源类型Discussion paper
规范类型论文
来源IDDP3601
DP3601 A Structure Analysis of the Correlated Random Coefficient Wage Regression Model
Jörgen Hansen; Christian Belzil
发表日期2002-10-20
出版年2002
语种英语
摘要We estimate a finite mixture dynamic programming model of schooling decisions in which the log wage regression function is set in a random coefficient framework. The model allows for absolute and comparative advantages in the labour market and assumes that the population is composed of eight unknown types. Overall, labour market skills (as opposed to taste for schooling) appear to be the prime factor explaining schooling attainments. The estimates indicate a higher cross-sectional variance in the returns to experience than in the returns to schooling. From various simulations, we find that the sub-population mostly affected by a counterfactual change in the utility of attending school is composed of individuals who have any combination of some of the following attributes: absolute advantages in the labour market, high returns to experience, low utility of attending school and relatively low returns to schooling. Unlike what is often postulated in the average treatment effect literature, the weak correlation (unconditional) between the returns to schooling and the individual reactions to treatment is not sufficient to reconcile the discrepancy between OLS and IV estimates of the returns to schooling often found in the literature.
主题Labour Economics
关键词Random coefficient Returns to schooling Comparative advantages Dynamic programming Dynamic self-selection
URLhttps://cepr.org/publications/dp3601
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/532608
推荐引用方式
GB/T 7714
Jörgen Hansen,Christian Belzil. DP3601 A Structure Analysis of the Correlated Random Coefficient Wage Regression Model. 2002.
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