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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/90204
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dc.contributor.advisor江淳芳zh_TW
dc.contributor.advisorChun-Fang Chiangen
dc.contributor.author黃泓鈞zh_TW
dc.contributor.authorHung-Chun Huangen
dc.date.accessioned2023-09-22T17:50:48Z-
dc.date.available2023-11-09-
dc.date.copyright2023-09-22-
dc.date.issued2023-
dc.date.submitted2023-08-11-
dc.identifier.citationLarry M Bartels. Partisanship and voting behavior, 1952-1996. American Journal of Political Science, pages 35–50, 2000.

Larry M Bartels. Beyond the running tally: Partisan bias in political perceptions. Political behavior, 24:117–150, 2002.

Jess Benhabib and Mark M Spiegel. Sentiments and economic activity: Evidence from us states. The Economic Journal, 129(618):715–733, 2019.

Gordon B Dahl, Runjing Lu, and William Mullins. Partisan fertility and presidential elections. American Economic Review: Insights, 4(4):473–90, 2022.

Alan S Gerber and Gregory A Huber. Partisanship and economic behavior: Do partisan differences in economic forecasts predict real economic behavior? American Political Science Review, 103(3):407–426, 2009.

Daniel E Ho, Kosuke Imai, Gary King, and Elizabeth A Stuart. Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference. Political analysis, 15(3):199–236, 2007.

Chi Huang. Testing partisan effects on economic perceptions: A panel design approach. Journal of Electoral Studies, 25(2), 2018.

Austin Horng-En Wang. The myth of polarization among Taiwanese voters: The missing middle. Journal of East Asian Studies, 19(3):275–287, 2019.

Tobias Widmann. Fear, hope, and covid-19: Emotional elite rhetoric and its impact on the public during the first wave of the covid-19 pandemic. Political Psychology, 43(5): 827–850, 2022.

Yiqing Xu. Generalized synthetic control method: Causal inference with interactive fixed effects models. Political Analysis, 25(1):57–76, 2017.

Yiqing Xu and Licheng Liu. gsynth: Generalized Synthetic Control Method, 2022. URL https://yiqingxu.org/packages/gsynth/. R package version 1.2.1.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/90204-
dc.description.abstract支持不同政黨的人們可能對於不同議題會有不同看法,並依照這些看法來做未來決策,比方說經濟狀況。這篇論文藉由事件分析法(event study)、合成控制(synthetic control),分析台灣2016、2020年兩屆總統大選,發現黨派生育效果(partisan fertility effect),獲勝的選民傾向生育。不過,在連任的2020年,效果並不明顯。2016年,估計的季節平均效果介於每千位女性提高0.048到0.132位小孩;2020年則為0.020。這三個數字分別佔平均的一般生育率(general fertility rate)1.27、3.93,與0.70%。zh_TW
dc.description.abstractPeople with different partisan affiliations may hold contrasting opinions on various topics, such as the state of the economy, and make decisions based on their beliefs. By analyzing the presidential elections of 2016 and 2020, this paper uncovers the presence of partisan fertility effects. This is achieved by implementing the DID event study and synthetic control method. The findings suggest that individuals are more likely to conceive children following the election victory. However, when examining the re-election in 2020, the partisan effect becomes less evident. On average, the estimated quarter effects range from 0.048 to 0.132 per 1,000 women in 2016, and 0.020 in 2020. These represent 1.27%, 3.93%, and 0.70% of the average quarterly general fertility rate, respectively.en
dc.description.provenanceSubmitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-09-22T17:50:48Z
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dc.description.provenanceMade available in DSpace on 2023-09-22T17:50:48Z (GMT). No. of bitstreams: 0en
dc.description.tableofcontents口試委員審定書 i
摘要 iii
Abstract v
Contents vii
List of Figures ix
List of Tables xi
Chapter 1 Introduction 1
Chapter 2 Related Literature 5
Chapter 3 Data and Method 7
3.1 Variable of Interests 7
3.2 Summary Statistics 9
3.3 Identification Strategy 11
3.3.1 DID Event Study 11
3.3.2 Synthetic Control 11
3.4 Matching 13
Chapter 4 Results 19
4.1 DID Event Study 19
4.2 Synthetic Control 21
Chapter 5 Conclusion and Discussion 33
References 35
Appendix A — Mechanism 37
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dc.language.isoen-
dc.subject政黨傾向zh_TW
dc.subject選舉zh_TW
dc.subject政權交替zh_TW
dc.subject生育zh_TW
dc.subject政治兩極化zh_TW
dc.subjectPolitical Polarizationen
dc.subjectElectionen
dc.subjectEconomic Evaluationen
dc.subjectFertilityen
dc.subjectPartisanshipen
dc.subjectTransition of Poweren
dc.title政黨傾向對生育決策的影響:臺灣總統選舉實證zh_TW
dc.titlePartisan Fertility in Taiwanen
dc.typeThesis-
dc.date.schoolyear111-2-
dc.description.degree碩士-
dc.contributor.oralexamcommittee王貿;樊家忠zh_TW
dc.contributor.oralexamcommitteeMao Wang;Chia-Chung Fanen
dc.subject.keyword政黨傾向,政權交替,生育,選舉,政治兩極化,zh_TW
dc.subject.keywordPartisanship,Fertility,Political Polarization,Election,Economic Evaluation,Transition of Power,en
dc.relation.page39-
dc.identifier.doi10.6342/NTU202303002-
dc.rights.note同意授權(全球公開)-
dc.date.accepted2023-08-11-
dc.contributor.author-college社會科學院-
dc.contributor.author-dept經濟學系-
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