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Title: Joint Estimation of Sequential Labor Force Participation and Fertility Decisions Using Markov Chain Monte Carlo Techniques
Resulting in 1 citation.
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Buddlemeyer, Hielke Troske, Kenneth R. Voicu, Alexandru |
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Joint Estimation of Sequential Labor Force Participation and Fertility Decisions Using Markov Chain Monte Carlo Techniques Presented: Lisbon, Portugal, European Association of Labour Economists, September 2004. Also: http://gatton.uky.edu/faculty/troske/working_pap/troskevoicu081704.pdf Cohort(s): NLSY79 Publisher: European Association of Labour Economists Keyword(s): Bayesian; Fertility; Heterogeneity; Human Capital; Labor Supply; Markov chain / Markov model; Modeling; Women Permission to reprint the abstract has not been received from the publisher. The above cited pdf does not use the same abstract as the one below, but it is dated one month prior to the above paper presented. Three mechanisms generate the statistical relationship between women's fertility decisions and their level of labor market involvement. Children directly affect women's labor supply by raising the value of non-market options. Having children frequently forces women to temporarily leave the labor market leading to depreciation of their human capital, thus indirectly affecting subsequent labor market decisions. Individual heterogeneity with respect to tastes for market work and family structure induce additional correlation between fertility and participation behavior throughout lifetime. Distinguishing these three effects is important for effective policy design. This paper proposes a model that disentangles the direct, indirect, and unobserved heterogeneity effects, and evaluates their relative importance. Sequential participation decisions for four levels of labor market involvement and fertility decisions are jointly modeled. The estimation is performed using Markov chain Monte Carlo methods. |
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Bibliography Citation
Buddlemeyer, Hielke, Kenneth R. Troske and Alexandru Voicu. "Joint Estimation of Sequential Labor Force Participation and Fertility Decisions Using Markov Chain Monte Carlo Techniques." Presented: Lisbon, Portugal, European Association of Labour Economists, September 2004. |