A Smooth Coefficient Quantile Regression Approach to the Social Capital-Economic Growth Nexus
學年 100
學期 2
出版（發表）日期 2012-03-01
作品名稱 A Smooth Coefficient Quantile Regression Approach to the Social Capital-Economic Growth Nexus
作品名稱（其他語言）
著者 Deng, Wen-shuenn; Lin, Yi-chen; Gong, Jin-guo
單位 淡江大學統計學系; 淡江大學經濟學系
出版者 Amsterdam: Elsevier BV * North-Holland
著錄名稱、卷期、頁數 Economic Modelling 29(2), pp.185-197
摘要 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.
關鍵字 Semiparametric methods; Kernel smoothing; Smooth coefficient; Quantile regression; Social capital; Economic growth
語言 en_US
ISSN 0264-9993 1873-6122
期刊性質 國外
收錄於 SSCI
產學合作
通訊作者 Deng, Wen-shuenn
審稿制度 是
國別 NLD
公開徵稿
出版型式 紙本 電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/74955 )

機構典藏連結
SDGS 減少不平等,永續城市與社區