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題名 The Evolution of Taiwanese Identity: A Pseudo Panel Analysis
作者 Huang, Chi
黃紀
貢獻者 政大政治系
日期 2006-08
上傳時間 24-Jun-2013 10:23:54 (UTC+8)
摘要 This paper explores the possibility of doing dynamic analysis on the important issue of changing ethnic identities in Taiwan in the absence of genuine panel data. Despite the exploratory nature and methodological emphasis of this paper, we do hope that the pseudo panel approach to repeated cross-sectional (RCS) data explained here can shed some light on the process and determinants of the gradual rising trend of Taiwanese identity in the past decade. We also hope that this approach provides a feasible alternative to studying the dynamic process in the absence of repeated measurements of the same units.
關聯 102nd Annual Meeting of the American Political Science Association
資料類型 conference
dc.contributor 政大政治系en_US
dc.creator (作者) Huang, Chien_US
dc.creator (作者) 黃紀zh_TW
dc.date (日期) 2006-08en_US
dc.date.accessioned 24-Jun-2013 10:23:54 (UTC+8)-
dc.date.available 24-Jun-2013 10:23:54 (UTC+8)-
dc.date.issued (上傳時間) 24-Jun-2013 10:23:54 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/58543-
dc.description.abstract (摘要) This paper explores the possibility of doing dynamic analysis on the important issue of changing ethnic identities in Taiwan in the absence of genuine panel data. Despite the exploratory nature and methodological emphasis of this paper, we do hope that the pseudo panel approach to repeated cross-sectional (RCS) data explained here can shed some light on the process and determinants of the gradual rising trend of Taiwanese identity in the past decade. We also hope that this approach provides a feasible alternative to studying the dynamic process in the absence of repeated measurements of the same units.en_US
dc.format.extent 164 bytes-
dc.format.mimetype text/html-
dc.language.iso en_US-
dc.relation (關聯) 102nd Annual Meeting of the American Political Science Associationen_US
dc.title (題名) The Evolution of Taiwanese Identity: A Pseudo Panel Analysisen_US
dc.type (資料類型) conferenceen