Artikel

Polarization measurement and inference in many dimensions when subgroups can not be identified

The most popular general univariate polarization indexes for discrete and continuous variables are extended and combined to describe the extent of polarization between agents in a distribution defined over a collection of many discrete and continuous agent characteristics. A formula for the asymptotic variance of the index is also provided. The implementation of the index is illustrated with an application to Chinese urban household data drawn from six provinces in the years 1987 and 2001 (years spanning the growth and urbanization period subsequent to the economic reforms). The data relates to household adult equivalent log income, adult equivalent living space, which are both continuous variables and the education of the head of household which is a discrete variable. For this data set combining the characteristics changes the view of polarization that would be inferred from considering the indices individually.

Sprache
Englisch

Erschienen in
Journal: Economics: The Open-Access, Open-Assessment E-Journal ; ISSN: 1864-6042 ; Volume: 5 ; Year: 2011 ; Issue: 2011-11 ; Pages: 1-19 ; Kiel: Kiel Institute for the World Economy (IfW)

Klassifikation
Wirtschaft
Semiparametric and Nonparametric Methods: General
Multiple or Simultaneous Equation Models; Multiple Variables: General
Measurement and Analysis of Poverty
Thema
Soziale Ungleichheit
Disparitätsmaß
Multivariate Analyse
Messung
Theorie
Stadtsoziologie
China

Ereignis
Geistige Schöpfung
(wer)
Anderson, Gordon
Ereignis
Veröffentlichung
(wer)
Kiel Institute for the World Economy (IfW)
(wo)
Kiel
(wann)
2011

DOI
doi:10.5018/economics-ejournal.ja.2011-11
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Anderson, Gordon
  • Kiel Institute for the World Economy (IfW)

Entstanden

  • 2011

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