Artikel

Ethnic capital and self-employment: A spatially autoregressive network approach

Immigrants experience substantial disadvantages in employment in the host country. "Ethnic capital" (e.g. the ethnic network) is argued to provide a niche for immigrants. Previous international studies adopt either ethnic concentration or language as proxy for immigrants' network in host country. In this paper we introduce a new "spatial autoregressive network approach" to construct a dynamic network variable from micro-data to capture the effects of social and resource networks for immigrants. This approach allows each individual's self-employment decision to be geographically and ethnically correlated with that of other individuals. We further show that there are three advantages of this approach: it captures a more accurate effect of networks; it provides a better estimation of the impact of other socio-economic variables on self-employment; and it provides a better data fit. The empirical findings of this study strongly suggest that ethnic capital plays a vital role in relation to immigrants' self-employment decisions.

Sprache
Englisch

Erschienen in
Journal: IZA Journal of Migration ; ISSN: 2193-9039 ; Volume: 3 ; Year: 2014 ; Pages: 1-24 ; Heidelberg: Springer

Klassifikation
Wirtschaft
Labor Demand
Geographic Labor Mobility; Immigrant Workers
Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
Thema
Ethnic capital
Ethnic network
Ethnic concentration
Spatial approach
Immigrant
Self-employment

Ereignis
Geistige Schöpfung
(wer)
Wang, Xingang
Maani, Sholeh A.
Ereignis
Veröffentlichung
(wer)
Springer
(wo)
Heidelberg
(wann)
2014

DOI
doi:10.1186/s40176-014-0018-3
Handle
Letzte Aktualisierung
10.03.2025, 11:47 MEZ

Datenpartner

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

Objekttyp

  • Artikel

Beteiligte

  • Wang, Xingang
  • Maani, Sholeh A.
  • Springer

Entstanden

  • 2014

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