1. NCCU Academic Hub
  2. 學術產出
  3. College of Commerce
  4. Periodical Articles
  5. Item

學術產出-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

題名 Measuring Subjective Well-being in Taiwan
作者 鄭宗記
Lin, Chu-Chia;Cheng, Tsung-Chi;Wang, Shu-Chen
貢獻者 統計系
關鍵詞 Factor analysis;Multivariate data analysis;Seemingly unrelated regression;Subjective well-being
日期 2013.02
上傳時間 9-Dec-2013 11:48:07 (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 Indicators Research,
資料類型 article
DOI http://dx.doi.org/10.1007/s11205-013-0269-z
dc.contributor 統計系en_US
dc.creator (作者) 鄭宗記zh_TW
dc.creator (作者) Lin, Chu-Chia;Cheng, Tsung-Chi;Wang, Shu-Chenen_US
dc.date (日期) 2013.02en_US
dc.date.accessioned 9-Dec-2013 11:48:07 (UTC+8)-
dc.date.available 9-Dec-2013 11:48:07 (UTC+8)-
dc.date.issued (上傳時間) 9-Dec-2013 11:48:07 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/62283-
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 658903 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) Social Indicators Research,en_US
dc.subject (關鍵詞) Factor analysis;Multivariate data analysis;Seemingly unrelated regression;Subjective 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