 Measuring segregation on small units: A partial identification analysisXavier D'Haultfoeuille and Roland Rathelot Quantitative Economics, 2017, vol. 8, issue 1, 39-73 Abstract: 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 of hiring 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. Date: 2017 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:wly:quante:v:8:y:2017:i:1:p:39-73 Ordering information: This journal article can be ordered from Access Statistics for this article More articles in Quantitative Economics from Econometric Society Contact information at EDIRC. |
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