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On-the-job Search, Productivity Shocks, and the Individual Earnings Process

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  • Fabien Postel-Vinay

    (PSE - Paris-Jourdan Sciences Economiques - CNRS : UMR8545 - École des Hautes Études en Sciences Sociales (EHESS) - École des Ponts ParisTech (ENPC) - École normale supérieure [ENS] - Paris, CREST - Centre de Recherche en Économie et Statistique - INSEE - École Nationale de la Statistique et de l'Administration Économique, Departement of Economics - University of Bristol - University of Bristol)

  • Hélène Turon

    (Departement of Economics - University of Bristol - University of Bristol)

Abstract

Individual labor earnings observed in worker panel data have complex, highly persistent dynamics. We investigate the capacity of a structural job search model with i.i.d. productivity shocks to replicate salient properties of these dynamics, such as the covariance structure of earnings, the evolution of individual earnings mean and variance with the duration of uninterrupted employment, or the distribution of year-to-year earnings changes. Specifically, we show within an otherwise standard job search model how the combined assumptions of on-the-job search and wage renegotiation by mutual consent act as a quantitatively plausible "internal propagation mechanism" of i.i.d. productivity shocks into persistent wage shocks. The model suggests that wage dynamics should be thought of as the outcome of a specific acceptance/rejection scheme of i.i.d. productivity shocks. This offers an alternative to the conventional linear ARMA-type approach to modelling earnings dynamics. Structural estimation of our model on a 10-year panel of highly educated British workers shows that our simple framework produces a dynamic earnings structure which is remarkably consistent with the data.

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Paper provided by HAL in its series PSE Working Papers with number halshs-00590726.

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Date of creation: Aug 2005
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Handle: RePEc:hal:psewpa:halshs-00590726

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Keywords: job search ; individual shocks ; structural estimation ; covariance structure of earnings;

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