Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/78633 
Year of Publication: 
2005
Series/Report no.: 
Working Paper No. 2005:12
Publisher: 
Institute for Labour Market Policy Evaluation (IFAU), Uppsala
Abstract: 
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.
Subjects: 
Exposure
covariates
ethnic workplace segregation
JEL: 
C15
J15
J42
Document Type: 
Working Paper

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