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Bayesian analysis of a dynamic stochastic model of labor supply and saving

机译:劳动力供给与储蓄动态随机模型的贝叶斯分析

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This paper empirically implements a dynamic, stochastic model of life-cycle labor supply and human capital investment. The model allows agents to be forward looking. But, in contrast to prior literature in this area, it does not require that expectations be formed "rationally". By avoiding strong assumptions about expectations, I avoid sources of bias stemming from misspecification of the expectation process. A Bayesian econometric method based on Geweke and Keane (in: R.S. Mariano, T. Schuermann, M. Weeks (Eds.), Simulation Based Inference and Econometrics: Methods and Applications, Cambridge University Press, Cambridge, 1999) is used to relax assumptions over expectations. The results of this study are consistent with findings from previous research in the labor supply literature that makes the rational expectations assumption.
机译:本文从经验上实现了生命周期劳动力供给和人力资本投资的动态随机模型。该模型允许代理商具有前瞻性。但是,与该领域的现有文献相比,不需要“理性地”形成期望。通过避免对期望的强烈假设,我避免了由于期望过程的错误指定而引起的偏见。使用基于Geweke和Keane的贝叶斯计量经济学方法(转:RS Mariano,T。Schuermann,M。Weeks(编),《基于模拟的推理和计量经济学:方法和应用》,剑桥大学出版社,剑桥,1999年)来放松假设。超出预期。这项研究的结果与先前关于劳动力供给文献的研究结果一致,该研究做出了合理的预期假设。

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