Arbeitspapier
Nonparametric estimation of a polarization measure
This paper develops methodology for nonparametric estimation of a polarization measure due to Anderson (2004) and Anderson, Ge, and Leo (2006) based on kernel estimation techniques. We give the asymptotic distribution theory of our estimator, which in some cases is nonstandard due to a boundary value problem. We also propose a method for conducting inference based on estimation of unknown quantities in the limiting distribution and show that our method yields consistent inference in all cases we consider. We investigate the finite sample properties of our methods by simulation methods. We give an application to the study of polarization within China in recent years.
- Sprache
-
Englisch
- Erschienen in
-
Series: cemmap working paper ; No. CWP14/09
- Klassifikation
-
Wirtschaft
Hypothesis Testing: General
Estimation: General
Semiparametric and Nonparametric Methods: General
- Thema
-
Kernel Estimation
Inequality
Overlap coefficient
Poissonization
Soziale Ungleichheit
Schätztheorie
China
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Anderson, Gordon
Linton, Oliver
Whang, Yoon-Jae
- Ereignis
-
Veröffentlichung
- (wer)
-
Centre for Microdata Methods and Practice (cemmap)
- (wo)
-
London
- (wann)
-
2009
- DOI
-
doi:10.1920/wp.cem.2009.1409
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 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.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Anderson, Gordon
- Linton, Oliver
- Whang, Yoon-Jae
- Centre for Microdata Methods and Practice (cemmap)
Entstanden
- 2009
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