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題名 Measuring Subjective Well-being in Taiwan
作者 林祖嘉;鄭宗記
Lin, Chu-Chia ; Cheng, Tsung-Chi ; Wang, Shu-Chen
貢獻者 經濟系
關鍵詞 Factor analysis;Multivariate data analysis;Seemingly unrelated regressionSubjective well-being
日期 2013.07
上傳時間 14-Jan-2014 17:35:12 (UTC+8)
摘要 This paper explores the measurement of subjective well-being (SWB) in Taiwan through survey data as a result of 13 self-reported SWB questions. We illustrate the findings using multivariate data analysis approaches. First, by taking the first two principal component scores extracted from all SWB measurements, the biplot presents a relatively “even” society for SWBs, in which the plot depicts all data-points radiating from the center. Second, we employ factor analysis to juxtapose these 13 SWB measurements into three factors: health-related, prosperity-related, and social-related. Third and finally, this paper applies the seemingly unrelated regression model to verify the determinants of SWB. The SWB measurements are mostly increasing in higher education and (disposable) income, while falling with unemployment. Volunteering, donating more money to charities, having more leisure time, spending more hours on sports, and being involved in more arts-related activities all enhance an individual’s well-being. Gender and age may matter, but they are indecisive in the direction for various SWBs.
關聯 Social Indicator Research,July 2013,116,(1),17-45
資料類型 article
DOI http://dx.doi.org/10.1007/s11205-013-0269-z
dc.contributor 經濟系en_US
dc.creator (作者) 林祖嘉;鄭宗記zh_TW
dc.creator (作者) Lin, Chu-Chia ; Cheng, Tsung-Chi ; Wang, Shu-Chenen_US
dc.date (日期) 2013.07en_US
dc.date.accessioned 14-Jan-2014 17:35:12 (UTC+8)-
dc.date.available 14-Jan-2014 17:35:12 (UTC+8)-
dc.date.issued (上傳時間) 14-Jan-2014 17:35:12 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/63399-
dc.description.abstract (摘要) This paper explores the measurement of subjective well-being (SWB) in Taiwan through survey data as a result of 13 self-reported SWB questions. We illustrate the findings using multivariate data analysis approaches. First, by taking the first two principal component scores extracted from all SWB measurements, the biplot presents a relatively “even” society for SWBs, in which the plot depicts all data-points radiating from the center. Second, we employ factor analysis to juxtapose these 13 SWB measurements into three factors: health-related, prosperity-related, and social-related. Third and finally, this paper applies the seemingly unrelated regression model to verify the determinants of SWB. The SWB measurements are mostly increasing in higher education and (disposable) income, while falling with unemployment. Volunteering, donating more money to charities, having more leisure time, spending more hours on sports, and being involved in more arts-related activities all enhance an individual’s well-being. Gender and age may matter, but they are indecisive in the direction for various SWBs.en_US
dc.format.extent 122 bytes-
dc.format.mimetype text/html-
dc.language.iso en_US-
dc.relation (關聯) Social Indicator Research,July 2013,116,(1),17-45en_US
dc.subject (關鍵詞) Factor analysis;Multivariate data analysis;Seemingly unrelated regressionSubjective well-beingen_US
dc.title (題名) Measuring Subjective Well-being in Taiwanen_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1007/s11205-013-0269-zen_US
dc.doi.uri (DOI) http://dx.doi.org/10.1007/s11205-013-0269-zen_US