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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 王宏文 | |
| dc.contributor.author | Ya-Ting Lien | en |
| dc.contributor.author | 連雅亭 | zh_TW |
| dc.date.accessioned | 2021-06-15T11:11:13Z | - |
| dc.date.available | 2021-08-25 | |
| dc.date.copyright | 2016-08-25 | |
| dc.date.issued | 2016 | |
| dc.date.submitted | 2016-08-24 | |
| dc.identifier.citation | 壹、 中文部分
內政部，2015。《104年第28週內政統計通報(103年底宗教寺廟、教會（堂）概況)》，內政部統計處網站，http://www.moi.gov.tw/stat/news_content.aspx?sn=9667，20160416。 劉錦添，2001，〈宗教活動的經濟分析-台灣的實證〉，《經濟論文叢刊》， 29(1)： 1-19。 瞿海源，2006，《宗教、術數與社會變遷(一)》，台北：桂冠圖書股份有限公司。 瞿海源、姚麗香，2006，〈台灣地區宗教變遷之探討〉，《宗教、術數與社會變遷 (一)》， 頁1-27。 瞿海源、張珣，1989。〈民間信仰的基本特徵與奉獻行為〉，《宗教、術數與社會變遷(一)》頁99-132。 貳、 西文部分 Aimone, J. A., Iannaccone, L. R., Makowsky, M. D., & Rubin, J. (2013). Endogenous group formation via unproductive costs. The Review of economic studies, 80(4), 1215-1236. Aitchison, J. A., Colin GG. (1976). Multivariate binary discrimination by the kernel method. Biometrika, 63(3), 413-420. Azzi, C., & Ehrenberg, R. (1975). Household allocation of time and church attendance. The Journal of Political Economy, 27-56. Betti, G. (1999). Nonparametric equivalence scales with application to Poland. Statistics Research Report LSERR49, London School of Economics. Finke, R., Bahr, M., & Scheitle, C. P. (2006). Toward explaining congregational giving. Social science research, 35(3), 620-641. Gujarati, D. N. (2009). Basic econometrics: Tata McGraw-Hill Education. Hoffmann, J. P., Lott, B. R., & Jeppsen, C. (2010). Religious giving and the boundedness of rationality. Sociology of religion, 71(3), 323-348. Hoge, R., & Yang, F. (1994). Determinants of religious giving in American denominations: Data from two nationwide surveys. Review of Religious Research, 123-148. Hsiao, C., Li, Q., & Racine, J. S. (2007). A consistent model specification test with mixed discrete and continuous data. Journal of Econometrics, 140(2), 802-826. Iannaccone, L. R. (1994). Why strict churches are strong. American journal of Sociology, 1180-1211. Iannaccone, L. R. (1997). Skewness explained: A rational choice model of religious giving. Journal for the Scientific Study of Religion, 141-157. Kitchen, H. (1992). Determinants of charitable donations in Canada: a comparison over time. Applied Economics, 24(7), 709-713. Li, Q., & Racine, J. S. (2007). Nonparametric econometrics: theory and practice: Princeton University Press. Nemeth, R. J., & Luidens, D. A. (1994). Congregational vs. denominational giving: An analysis of giving patterns in the Presbyterian church in the United States and the reformed church in America. Review of Religious Research, 111-122. Showers, V. E., Showers, L. S., Black, H. G., Beggs, J. M., & Cox Jr, J. E. (2015). Households Giving to Religion versus Households Not Giving to Religion: Are Their Household Characteristics and Expenditure Patterns Different? Smith, C., Emerson, M. O., & Snell, P. (2008). Passing the Plate: Why American Christians Dont Give Away More Money: Oxford University Press. van Ingen, E., & Moor, N. (2015). Explanations of changes in church attendance between 1970 and 2009. Social science research, 52, 558-569. Wilcox, R. (2005). Kolmogorov–smirnov test. Encyclopedia of Biostatistics. Zaleski, P. A., & Zech, C. E. (1992). Determinants of contributions to religious organizations. American Journal of Economics and Sociology, 51(4), 459-472. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/48904 | - |
| dc.description.abstract | 以往的參數估計方式由於對母體和資料的假設較多，在估計時經常必須
忽略資料違反假設的事實。非參數方法不需要給定和參數估計一樣多的假設，且可以對樣本資料提供更好的配適。而在宗教支出研究方面，非參數方法的應用研究相對不足。因此本文引進了非參數核迴歸的方法，估計台灣2013 年至2014 年的宗教捐獻資料，並比較了多元線性迴歸、Tobit 迴歸及非參數核迴歸的結果，檢視三個模型的配適度、殘差及變數顯著性後，可以看出非參數核迴歸模型得到了更小的殘差及更準確的模型，並且它係數的顯著性和另外兩種估計方式有著極大的不同。 | zh_TW |
| dc.description.abstract | The parametric estimation method used to make several assumptions on the population and data. In real case, however, researchers often have to ignore these violations. In non-parametric methods, researchers don’t have to make so many assumptions as they do in parametric estimation. In addition, using non-parametric methods, researchers can get a better fitted model for the data. The application of non-parametric methods in religious giving studies is quite rare, therefore in this study, we introduced the non-parametric kernel regression method to estimate the 2013~2014 religious giving amount of Taiwan. We compared the results of multiple linear regression, Tobit regression and non-parametric kernel regression and found that the kernel regression model shows the best fitting and the smallest RSE. Also, the significance of each coefficients in kernel regression is quite different from that in multiple regression and Tobit regression. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T11:11:13Z (GMT). No. of bitstreams: 1 ntu-105-R02322023-1.pdf: 1376990 bytes, checksum: 7c53a4881aa52bda1729c33d49f50250 (MD5) Previous issue date: 2016 | en |
| dc.description.tableofcontents | 謝辭............................................................................................................. i
中文摘要.................................................................................................... ii 英文摘要...................................................................................................iii 第一章 緒論 .............................................................................................. 1 第一節 研究動機................................................................................... 1 第二節 研究目的................................................................................... 1 第三節 研究流程................................................................................... 2 第二章 文獻回顧 ...................................................................................... 4 第一節 理性於宗教行為中之運作....................................................... 4 第二節 宗教行為之實證研究............................................................... 6 第三節 方法論的探討........................................................................... 7 第四節 台灣的實證研究....................................................................... 9 第三章 宗教捐獻行為的現況................................................................ 10 第一節 敘述統計................................................................................. 10 第二節 捐獻金額樣本的分佈特性..................................................... 13 第四章研究方法 .................................................................................... 14 第一節 參數與非參數迴歸................................................................. 14 第二節 變數處理................................................................................. 18 第三節 模型設定................................................................................. 18 第五章 實證結果與分析........................................................................ 21 第一節 多元線性迴歸結果................................................................. 21 第二節 Tobit 迴歸模型及顯著性檢定............................................... 26 第三節 非參數迴歸模型及顯著性檢定............................................. 28 第四節 不同模型的殘差分析............................................................. 34 第五節 結論......................................................................................... 35 第六章 結論與研究限制........................................................................ 37 參考文獻.................................................................................................. 38 Appendix .................................................................................................. 41 | |
| dc.language.iso | zh-TW | |
| dc.subject | 配適度 | zh_TW |
| dc.subject | 非參數核迴歸 | zh_TW |
| dc.subject | 核函數 | zh_TW |
| dc.subject | 宗教行為 | zh_TW |
| dc.subject | 宗教捐獻 | zh_TW |
| dc.subject | NARADAYA-WATSON | en |
| dc.subject | NONPARAMETRIC REGRESSION | en |
| dc.subject | KERNEL | en |
| dc.subject | RELIGIOUS BEHAVIOR | en |
| dc.title | 非參數核迴歸於宗教捐獻研究之應用 | zh_TW |
| dc.title | Nonparametric Kernel Regression Estimation in
Determinants of Religious Giving | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 104-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 黃旻華,俞振華 | |
| dc.subject.keyword | 非參數核迴歸,核函數,宗教行為,宗教捐獻,配適度, | zh_TW |
| dc.subject.keyword | NONPARAMETRIC REGRESSION,KERNEL,RELIGIOUS BEHAVIOR,NARADAYA-WATSON, | en |
| dc.relation.page | 45 | |
| dc.identifier.doi | 10.6342/NTU201603376 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2016-08-24 | |
| dc.contributor.author-college | 社會科學院 | zh_TW |
| dc.contributor.author-dept | 政治學研究所 | zh_TW |
| 顯示於系所單位： | 政治學系 | |
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