A smooth coefficient quantile regression approach to the social capital–economic growth nexus
Wen-Shuenn Deng (),
Yi-Chen Lin () and
Jinguo Gong
Economic Modelling, 2012, vol. 29, issue 2, 185-197
Abstract:
This analysis assesses the role of social capital in generating heterogeneity in growth processes across U.S. counties by estimating growth regressions, using the novel semiparametric smooth coefficient quantile regression method in which parameters are unspecified functions of a measure of social capital. The results indicate substantial differences across the quantiles of economic growth in the profile shapes of the coefficient estimates over the level of social capital. Moreover, the coefficient function estimates are highly nonlinear over the level of social capital, providing evidence that the growth process that links initial income, education attainment, ethnic diversity, inequality, population density, and government activity to growth varies with social capital in a nonlinear way.
Keywords: Semiparametric methods; Kernel smoothing; Smooth coefficient; Quantile regression; Social capital; Economic growth (search for similar items in EconPapers)
JEL-codes: C14 C21 O40 R11 Z13 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0264999311002264
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:29:y:2012:i:2:p:185-197
DOI: 10.1016/j.econmod.2011.09.008
Access Statistics for this article
Economic Modelling is currently edited by S. Hall and P. Pauly
More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().