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Measuring conditional segregation: methods and empirical examples




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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  • Åslund, Olof & Nordström Skans, Oskar, 2005. "Measuring conditional segregation: methods and empirical examples," Working Paper Series 2005:12, IFAU - Institute for Evaluation of Labour Market and Education Policy.
  • Handle: RePEc:hhs:ifauwp:2005_012

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    References listed on IDEAS

    1. 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, May.
    2. Federico Echenique & Roland G. Fryer Jr., 2005. "On the Measurement of Segregation," Labor and Demography 0503006, EconWPA.
    3. Boisso, Dale & Hayes, Kathy & Hirschberg, Joseph & Silber, Jacques, 1994. "Occupational segregation in the multidimensional case : Decomposition and tests of significance," Journal of Econometrics, Elsevier, vol. 61(1), pages 161-171, March.
    4. Martin Sˆderstrˆm & Roope Uusitalo, 2010. "School Choice and Segregation: Evidence from an Admission Reform," Scandinavian Journal of Economics, Wiley Blackwell, vol. 112(1), pages 55-76, March.
    5. Bayer, Patrick & McMillan, Robert & Rueben, Kim S., 2004. "What drives racial segregation? New evidence using Census microdata," Journal of Urban Economics, Elsevier, vol. 56(3), pages 514-535, November.
    6. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," Review of Economic Studies, Oxford University Press, vol. 60(3), pages 531-542.
    7. Carrington, William J & Troske, Kenneth R, 1997. "On Measuring Segregation in Samples with Small Units," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(4), pages 402-409, October.
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    Cited by:

    1. Olof Åslund & Oskar Nordström Skans, 2009. "How to measure segregation conditional on the distribution of covariates," Journal of Population Economics, Springer;European Society for Population Economics, vol. 22(4), pages 971-981, October.
    2. Fredrik Andersson & Mónica García-Pérez & John Haltiwanger & Kristin McCue & Seth Sanders, 2014. "Workplace Concentration of Immigrants," Demography, Springer;Population Association of America (PAA), vol. 51(6), pages 2281-2306, December.

    More about this item


    Exposure; covariates; ethnic workplace segregation;

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J42 - Labor and Demographic Economics - - Particular Labor Markets - - - Monopsony; Segmented Labor Markets

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