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- W69688502 abstract "In this paper, we estimate the joint distribution of son’s and father’s log-earnings in the United States for examining non-linear intergenerational earnings mobility. We model the joint distribution semiparameterically by a copula function. Conditional means and probabilities of son’s log-earnings given father’s log-earnings and their derivatives are derived from the estimated copula-based joint distribution. We further compare alternative methods of investigating the non-linear association, the OLS with higher order polynomials and the nonparametric local polynomial estimation, to the copula-based conditional mean estimation. Using the PSID data, we find that the earnings of son-father pairs exhibits a weak lower tail dependence. This result suggests that the US society is more mobile at the poorer population groups. JEL classification numbers: C14; D31; J62." @default.
- W69688502 created "2016-06-24" @default.
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- W69688502 date "2009-01-01" @default.
- W69688502 modified "2023-09-27" @default.
- W69688502 title "Copula-based Semiparametric Modeling of Intergenerational Earnings Mobility" @default.
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