Åslund, Olof () (IFAU - Institute for Labour Market Policy Evaluation) Nordström Skans, Oskar () (IFAU - Institute for Labour Market Policy Evaluation)
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In empirical studies of segregation it is often desirable to quantify segregation that cannot be explained by underlying characteristics. To this end, we propose a fully non-parametric method for accounting for covariates in any measure of segregation. The basic idea is that given a set of discrete characteristics, there is a certain probability that a person belongs to a particular group, which can be used to compute an expected level of segregation. We also demonstrate that a modified index of exposure has both favorable analytical features and interpre-tational advantages in such settings. The methods are illustrated by an applica-tion to ethnic workplace segregation in Sweden. We also show how one can use a measure of exposure to study the earnings consequences of segregation stemming from different sources.
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Paper provided by IFAU - Institute for Labour Market Policy Evaluation in its series Working Paper Series with number
2005:12.
Length: 28 pages Date of creation: 19 May 2005 Date of revision: Handle: RePEc:hhs:ifauwp:2005_012
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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.:
Robert Hutchens, 2004.
"One Measure of Segregation,"
International Economic Review,
Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(2), pages 555-578, 05.
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