Economics at your fingertips  

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

Jairo Isaza Castro, Karen Hernandez, Karen Guerrero and Jessy Hemer
Additional contact information
Karen Hernandez: Universidad de la Salle
Karen Guerrero: Universidad de la Salle
Jessy Hemer: Universidad de la Salle

2017 Stata Conference from Stata Users Group

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.

Date: 2017-08-10
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this paper

More papers in 2017 Stata Conference from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().

Page updated 2023-05-08
Handle: RePEc:boc:scon17:18