Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/295538 
Erscheinungsjahr: 
2016
Schriftenreihe/Nr.: 
CReAM Discussion Paper Series No. 11/16
Verlag: 
Centre for Research & Analysis of Migration (CReAM), Department of Economics, University College London, London
Zusammenfassung: 
We consider the issue of measuring segregation in a population of small units, considering establishments in our application. Each establishment may have a different probability to hire an individual from the minority group. We define segregation indices as inequality indices on these unobserved, random probabilities. Because these probabilities are measured with error by proportions, standard estimators are inconsistent. We model this problem as a nonparametric binomial mixture. Under this testable assumption and conditions satisfied by standard segregation indices, such indices are partially identified and sharp bounds can be easily obtained by an optimization over a low dimensional space. We also develop bootstrap confidence intervals and a test of the binomial mixture model. Finally, we apply our method to measure the segregation of foreigners in small French firms.
Schlagwörter: 
segregation
small units
partial identification
JEL: 
C13
C14
J71
Dokumentart: 
Working Paper

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