Endogenous social capital and self-rated health

Results from Canada's General Social Survey

Datos Bibliográficos

ID3625762
AutoresNazim Habibov (0000-0003-3862-4348, University of Windsor, autor de correspondencia), Robert Weaver (0009-0006-9806-6148), Robert C Weaver (University of Windsor), Robert D Weaver (0000-0002-4968-7224, University of Windsor)
Año2014
Volumen23
Número3
Páginas219-231
Fecha de publicación2014-12-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaHealth Sociology Review (JOURNAL)
Identificadores de la revistaISSN: 1446-1242 • E-ISSN: 1839-3551
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/14461242.2014.11081975
OpenAlexW1971128651
IdiomaEN
Citas recibidas3
Referencias citadas51

In this study we analyze data from Statistics Canada’s General Social Survey, a cross-sectional and nationally representative survey of Canada’s population, to assess the impact of three dimensions of social capital on self-rated health. We measure these dimensions, which consist of social networks and social support, civic participation and social participation, with a comprehensive set of 5 indicators. To avoid reverse causality due to the cross-sectional nature of the data, we employ an instrumental variable simultaneous equations bivariate probit regression model. Our findings indicate that all of the tested dimensions of social capital have a positive and significant impact on self-rated health. These findings suggest that social capital plays an important role in enhancing the health of Canada’s population. Endogeneity was detected in all of our estimations. Consequently, this study also has important methodological implications in that we demonstrate that relying solely on naive estimations leads to biased results

Bivariate analysis · Econometrics · Economics · Endogeneity · General Social Survey · Instrumental variable · Multivariate probit model · Ordered probit · Population · Population health · Probit · Probit model · Self-rated health · Social capital · Social science · Sociology · Statistics · Survey data collection · Demography · Employment and Welfare Studies · Global Health Care Issues · Health disparities and outcomes · Mathematics · Psychology · Social Psychology