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Computing occupational segregation indices with standard errors: an ado file application with an illustration for Colombia

Author

Listed:
  • Jairo G Isaza Castro

    (Universidad de la Salle)

  • Karen Hernandez

    (Universidad de la Salle)

  • Karen Guerrero

    (Universidad de la Salle)

  • Jessy Hemer

    (Universidad de la Salle)

Abstract

We developed an ado file in order to estimate in an easy way three selected occupational segregation indicators with standard errors using a bootstrap procedure. The indicators are the Duncan and Duncan (1955) dissimilarity index, the Gini coefficient based on the distribution of jobs by gender (see Deutsch et al., 1994)) and the Karmel & MacLachlan (1988) index of labour market segregation. This routine can be easily applied to conventional labor market microdata in which information regarding the occupation classification, industry and occupational category variables are usually available. As an illustration of the application of this ado file, we present estimates of both occupational and industry segregation by gender drawn from household surveys' Colombian microdata. The estimation of occupational segregation measures with standard errors proves to be useful in assessing statistical differences in segregation measures within labor market groups and/or over time.

Suggested Citation

  • Jairo G Isaza Castro & Karen Hernandez & Karen Guerrero & Jessy Hemer, 2017. "Computing occupational segregation indices with standard errors: an ado file application with an illustration for Colombia," 2017 Stata Conference 18, Stata Users Group.
    • Handle: RePEc:boc:scon17:18
    as

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    References listed on IDEAS

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    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. Moshe Semuonov & Frank Jones, 1999. "Dimensions of Gender Occupational Differentiation in Segregation and Inequality: A Cross-National Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 46(2), pages 225-247, February.
    3. Silber, Jacques G., 1989. "On the measurement of employment segregation," Economics Letters, Elsevier, vol. 30(3), pages 237-243, September.
    4. P. Jenkins, Stephen & Micklewright, John & Viola Schnepf, Sylke, 2006. "Social segregation in Secondary Schools: how does England compare with other countries?," ISER Working Paper Series 2006-02, Institute for Social and Economic Research.
    5. Deutsch, Joseph & Fluckiger, Yves & Silber, Jacques, 1994. "Measuring occupational segregation : Summary statistics and the impact of classification errors and aggregation," Journal of Econometrics, Elsevier, vol. 61(1), pages 133-146, March.
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