政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/141257
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文笔数/总笔数 : 111321/142230 (78%)
造访人次 : 48406583      在线人数 : 893
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻


    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/141257


    题名: 網路輿情聲量對高端疫苗施打量的影響
    Internet opinion and sentiment on the willingness of getting the MVC covid-19 vaccine
    作者: 楊士逸
    Yang, Shih-Yi
    贡献者: 王信實
    Wang, Shinn-Shyr
    楊士逸
    Yang, Shih-Yi
    关键词: 合成控制法
    網路輿情
    因果關係
    高端疫苗
    Synthetic control method
    Internet opinion
    Causality
    MVC covid-19 vaccine
    日期: 2022
    上传时间: 2022-08-01 18:29:31 (UTC+8)
    摘要: 本文利用合成控制法 (synthetic control method)，研究網路輿情負面聲量與高端疫苗 (MVC covid-19 vaccine) 施打量之間的因果關係 (causality)。以台灣衛生福利部疾病管制署 (CDC) 提供的疫苗施打期數為基準，在施打區間上做些許的調整，並搭配 OpView 社群口碑資料庫的聲量資料，探討2021年9月24日至10月2日的網路輿情負面聲量介入效果 (treatment effect)，是否對日後的高端疫苗施打量有影響。研究結果顯示，2021年10月3日至10月5日的高端疫苗施打量下降98%，與模擬出來的對照組 (control group) 相比下多減少70%，而10月5日後的高端疫苗施打量也都低於模擬對照組的施打量。
    This research studies the causality between the negative public opinion on the internet and the number of MVC covid-19 vaccinated by the synthetic control method (SCM). Based on the vaccine data provided by the Centers for the Disease Control and Prevention (CDC) of the Taiwan Ministry of Health and Welfare, some adjustments are made to the data period in the analysis. Together with the public opinion data of the OpView, this study explores the effect of negative online public opinion on the number of MVC vaccinated from September 24th, 2021 to October 2nd, 2021. The results show a 98% drop in MVC vaccinations between October 3rd and October 5th, 2021, and a 70% reduction compared to the simulated control group. The decrease in the MVC vaccinations has a continuous impact in the later periods.
    參考文獻: 一、中文文獻：
    陳宜廷 (2019), “臺灣與南韓之經濟成長比較-合成控制法下的反事實分析”, 臺灣經濟預測與政策(中央研究院經濟研究所), 50(1), 1-410.


    二、英文文獻：
    Abadie, A. & J. Gardeazabal (2003), “The Economic Costs of Conflict: A Case Study of the Basque Country.”, The American Economic Review, 93, 112–132.

    Abadie, A., A. Diamond & J. Hainmueller (2010), “Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program.”, Journal of the American Statistical Association, 105:490, 493–505.

    Abadie, A., A. Diamond & J. Hainmueller (2015), “Comparative Politics and the Synthetic Control Method.”, American Journal of Political Science, 59, 495–510.

    Abadie, A. & J. L’Hour (2021), “A Penalized Synthetic Control Estimator for Disaggregated Data.”, Journal of the American Statistical Association, 116:536, 1817-1834.

    Abadie, A. (2021), “Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects.”, Journal of Economic Literature, 59(2), 391-425.

    Ben-Michael, E., A. Feller & J. Rothstein (2021), “The Augmented Synthetic Control Method.”, Journal of the American Statistical Association, 116:536, 1789-1803.

    Chen, Y.-T. (2020), “A distributional synthetic control method for policy evaluation.”, Journal of Applied Econometrics, 35, 505-525.

    Chen, Y.-T. (2022), “Regularization of Synthetic Controls for Policy Evaluation.”, Department of Finance National Taiwan University.

    Doudchenko, N. & G. W. Imbens (2016), “Balancing, Regression, Difference-in-difference and synthetic control methods: A synthesis.”, NBER Working Paper.

    Ferman, B. & C. Pinto (2021), “Synthetic controls with imperfect pretreatment fit.”, Quantitative Economics, 12, 1197-1221.

    Fetzer, T., L. Hensel, J. Hermle & C. Roth (2020), “Coronavirus Perception and Economic Anxiety.”, Review of Economics and Statistic, 2021; 103 (5): 968-978.

    Saleska, J., L. & Choi, K., R. (2021), “A behavioral economics. perspective on the COVID-19 vaccine amid public mistrust.”, TBM, 11:821-825.

    Valero, R. (2015), “Synthetic Control Method versus Standard Statistical Techniques: a Comparison for Labor Market Reforms.”, Working paper, University of Alincante.

    Vergura, S. (2020), “Bollinger Bands Based on Exponential Moving Average for Statistical Monitoring of Multi-Array Photovoltaic Systems.”, Energies, 13, 3992.


    三、中文書籍
    伊藤公一朗(王美娟譯) (2018)，《數據分析的力量》，台灣東販。


    四、英文書籍
    Cunningham, S. (2021), “Causal inference: The Mixtape”, Yale University.

    D.Angrist, J. & Pischke, J.S. (2009), “Most Harmless Econometrics: An Empiricist’s Companion”, Princeton University.
    描述: 碩士
    國立政治大學
    經濟學系
    109258042
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0109258042
    数据类型: thesis
    DOI: 10.6814/NCCU202200959
    显示于类别:[經濟學系] 學位論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    804201.pdf1853KbAdobe PDF20检视/开启


    在政大典藏中所有的数据项都受到原著作权保护.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈