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The effects of measurement error and omitted variables when using transition matrices to measure intergenerational mobility Author info | Abstract | Publisher info | Download info | Related research | Statistics Donal O’Neill ()
Olive Sweetman
Dirk Van de gaer
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This paper examines the consequences of specification error when transition matrices are used to analyse patterns of intergenerational mobility. We show that classical measurement error in both the child’s and parent’s earnings can lead to biased results, with summary mobility measures biased by as much as 20% in some cases. Furthermore our results suggest that the extent of the bias is most severe in the tails of the distribution. Omitted conditioning variables appear to have a modest effect on transition matrices in our model. Copyright Springer Science+Business Media, Inc. 2007
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Article provided by Springer in its journal The Journal of Economic Inequality .
Volume (Year): 5 (2007)
Issue (Month): 2 (August)
Pages: 159-178
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Handle: RePEc:kap:jecinq:v:5:y:2007:i:2:p:159-178Contact details of provider: Web page: http://springerlink.metapress.com/link.asp?id=111137
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Keywords: transition matrices ; specification error ; intergenerational mobility ; References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.:
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Pischke, Jorn-Steffen, 1995.
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Economics, Finance and Accounting Department Working Paper Series
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Alexandra L. Minicozzi, 2003.
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Bhashkar Mazumder, 2005.
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Corak, Miles & Heisz, Andrew, 1996.
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Dearden, Lorraine & Machin, Stephen & Reed, Howard, 1997.
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[Downloadable!] (restricted)
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