Measuring conditional segregation: Methods and empirical examples

Arbeitspapier

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.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Working Paper ; No. 2005:12

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Statistical Simulation Methods: General ; Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination ; Monopsony; Segmented Labor Markets
• Thema: Exposure ; covariates ; ethnic workplace segregation ; Nichtparametrisches Verfahren ; Theorie

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Åslund, Olof ; Nordström Skans, Oskar
• Ereignis: Veröffentlichung
• (wer): Institute for Labour Market Policy Evaluation (IFAU)
• (wo): Uppsala
• (wann): 2005

Weitere Informationen

• Handle: http://hdl.handle.net/10419/78633
• Letzte Aktualisierung: 10.03.2025, 11:42 MEZ