How to Measure Segregation Conditional on the Distribution of Covariates
AbstractThis short paper proposes a non-parametric method of accounting for the distribution of background characteristics when testing for segregation in empirical studies. It is shown and exemplified—using data on workplace segregation between immigrants and natives in Sweden—how the method can be applied to correct any measure of segregation for differences between groups in the distribution of covariates by means of simulation, and how analytical results can be used when studying segregation by means of peer group exposure.
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Bibliographic InfoPaper provided by Uppsala University, Department of Economics in its series Working Paper Series with number 2007:27.
Length: 17 pages
Date of creation: 07 Dec 2007
Date of revision:
Contact details of provider:
Postal: Department of Economics, Uppsala University, P. O. Box 513, SE-751 20 Uppsala, Sweden
Phone: + 46 18 471 25 00
Fax: + 46 18 471 14 78
Web page: http://www.nek.uu.se/
More information through EDIRC
Segregation; Covariates; Workplaces; Immigrants;
Other versions of this item:
- Olof Åslund & Oskar Nordström Skans, 2009. "How to measure segregation conditional on the distribution of covariates," Journal of Population Economics, Springer, vol. 22(4), pages 971-981, October.
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- J10 - Labor and Demographic Economics - - Demographic Economics - - - General
- J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-12-19 (All new papers)
- NEP-ECM-2007-12-19 (Econometrics)
- NEP-MIG-2007-12-19 (Economics of Human Migration)
- NEP-URE-2007-12-19 (Urban & Real Estate Economics)
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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