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segregsmall: A command to estimate segregation in the presence of small units

Author

Listed:
  • Xavier D’Haultfoeuille

    (CREST)

  • Lucas Girard

    (CREST)

  • Roland Rathelot

    (University of Warwick)

Abstract

Suppose that a population, composed of a minority and a majority group, is allocated into units, which can be neighborhoods, firms, classrooms, etc. Qualitatively, there is some segregation whenever allocation leads to the concentration of minority individuals in some units more than in others. Quantitative measures of segregation have struggled with the small-unit bias. When units contain few individuals, indices based on the minority shares in units are upward biased. For instance, they would point to a positive amount of segregation even when allocation is strictly random. The command segregsmall implements three recent methods correcting for such bias: the nonparametric, partial identification approach of D’Haultfoeuille and Rathelot (2017, Quantitative Economics 8: 39–73); the parametric model of Rathelot (2012, Journal of Business & Economic Statistics 30: 546–553); and the linear correction of Carrington and Troske (1997, Journal of Business & Economic Statistics 15: 402–409). The package also allows for con-ditional analyses, namely, measures of segregation accounting for characteristics of the individuals or the units.

Suggested Citation

  • Xavier D’Haultfoeuille & Lucas Girard & Roland Rathelot, 2021. "segregsmall: A command to estimate segregation in the presence of small units," Stata Journal, StataCorp LP, vol. 21(1), pages 152-179, March.
    • Handle: RePEc:tsj:stataj:v:21:y:2021:i:1:p:152-179
    DOI: 10.1177/1536867X211000018
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj21-1/st0631/
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