Modelling income processes with lots of heterogeneity

Martin Browning, Mette Ejrnæs and Javier Alvarez

No 285, Economics Series Working Papers from University of Oxford, Department of Economics

Abstract: All empirical models of earnings processes in the literature assume a good deal of homogeneity. In contrast to this we model earnings processes allowing for lots of heterogeneity between agents. We also introduce an extension to the linear ARMA model that allows that the initial convergence to the long run may be different from that implied by the conventional ARMA model. This is particularly important for unit root tests which are actually tests of a composite of two independent hypotheses. We fit our models to a variety of statistics including most of those considered by previous investigators. We use a sample drawn from the PSID, and focus on white males with a high school degree. Despite this observable homogeneity we find much greater latent heterogeneity than previous investigators. We show that allowance for heterogeneity makes substantial differences to estimates of model parameters and to outcomes of interest. Additionally we find strong evidence against the hypothesis that any worker has a unit root.

Keywords: Earnings; Heterogeneity; ARMA; Initial Conditions; Unit Root Tests (search for similar items in EconPapers)
JEL-codes: C23 J30 (search for similar items in EconPapers)
Date: 2006-10-01
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (3)

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Related works:
Journal Article: Modelling Income Processes with Lots of Heterogeneity (2010)
Working Paper: Modelling income processes with lots of heterogeneity (2002)
Working Paper: Modelling Income Processes with lots of heterogeneity (2001)
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