In literature it is common to think about segregation as the outcome of a stochastic allocation process, characterized by the preferences and the constraints of both the individuals and the allocation units. In this perspective, several authors have already documented, using simulations, that the observed value of the Duncan & Duncan dissimilarity index is an upward biased estimator of the true population counterpart. In this paper, following a multinomial framework, we provide a mathematical proof of the nonnegativity of this bias.

On the upward bias of the dissimilarity index

ALTAVILLA, Anna Maria;MAZZA, Angelo;PUNZO, ANTONIO
2012

Abstract

In literature it is common to think about segregation as the outcome of a stochastic allocation process, characterized by the preferences and the constraints of both the individuals and the allocation units. In this perspective, several authors have already documented, using simulations, that the observed value of the Duncan & Duncan dissimilarity index is an upward biased estimator of the true population counterpart. In this paper, following a multinomial framework, we provide a mathematical proof of the nonnegativity of this bias.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/8482
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact