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作者(中文):蘇鈺媛
作者(外文):Su, Yu-Yuan
論文名稱(中文):美國貨幣政策對台灣總體經濟的外溢效果
論文名稱(外文):The Spillover Effects of US Monetary Policy on Taiwan’s Macroeconomy
指導教授(中文):唐震宏
指導教授(外文):Tang, Jenn-Hong
口試委員(中文):郭俊宏
許育進
胡吳岳
口試委員(外文):Kuo, Chun-Hung
Hsu, Yu-Chin
Hu, Wu-Yueh
學位類別:碩士
校院名稱:國立清華大學
系所名稱:經濟學系
學號:110072513
出版年(民國):112
畢業學年度:111
語文別:中文
論文頁數:76
中文關鍵詞:貨幣政策貨幣政策外溢效果因子結構 VAR 模型反事實分析法
外文關鍵詞:Monetary policySpillover effects of monetary policyFactor-structural vector autoregressionCounterfactual analysis
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本文主要探討在 1994 年至 2022 年間,美國的貨幣政策對台灣經濟的外溢效果。其間 2008 年的全球金融危機使美國開始實施量化寬鬆政策,因此本文亦比較 2008 金融海嘯前後美國貨幣政策造成的外溢效果之差異。詳言之,本文探討美國貨幣政策衝擊會透過何種管道外溢至台灣,以及台灣央行會對美國貨幣政策衝擊做出何種政策回應,而此種回應對經濟又會有何後果。我們採取因子結構向量自我廻歸模型,以貝氏方法估計台灣總體經濟變數對美國貨幣政策的衝擊反應函數。同時藉由反事實分析方法,假設台灣央行對美國貨幣政策衝擊不採取回應,探究前述的衝擊反應函數在此假設下有何改變。實證結果發現,美國若採取降低利率的寬鬆貨幣,將可能造成全球的大宗商品價格上升,進而對台灣形成負面的供給面衝擊,造成對總體產出下降與通膨上升。我們也發現,台灣央行在面對美國的寬鬆貨幣政策時,會以降低折現率的政策做為回應。央行的回應會部份抵銷美國的貨幣政策對台灣總體產出的外溢效果,但同時會使通膨方面的外溢效果更加劇烈。
In this paper, we aim to investigate the spillover effects of the US monetary policy on the Taiwanese economy from 1994 to 2022. As the Fed started implementing quantitative easing policy since the wake of the global financial crisis in 2008, we also compare the spillover effects of the US monetary policy before and after the 2008 financial crisis. Specifically, the paper examines how the impact of US monetary policy spills over to Taiwan through various channels and analyzes the policy responses of the Taiwan central bank to the impact of US monetary policy, along with the resulting economic consequences. We employ a factor structural vector autoregressive model and use Bayesian methods to estimate the impulse response function of Taiwan's macroeconomic variables to US monetary policy. Through counterfactual analysis, we explore how the aforementioned impulse response function changes under the assumption that the Taiwan central bank does not respond to the impact of US monetary policy. Empirical results suggest that if the United States adopts a expansionary monetary policy that lowers interest rates, it could potentially lead to a global increase in commodity prices, resulting in negative supply-side shocks for Taiwan, leading to decreased overall output and increased inflation. We also find that in the face of loose US monetary policy, the Taiwan central bank responds by lowering the discount rate. This response partially offsets the spillover effects of the US monetary policy on Taiwan's overall output, but intensifies the spillover effects on inflation.
摘要 ---------------------------------------------------------- ii
ABSTRACT ----------------------------------------------------- iii
誌謝 ---------------------------------------------------------- v
1 介紹 -------------------------------------------------------- 12
2 文獻回顧 ---------------------------------------------------- 15
3 資料與模型設定 ---------------------------------------------- 19
3.1 模型 ----------------------------------------------------- 19
3.1.1 因子結構 VAR 模型 --------------------------------------- 19
3.2 總體經濟變數資料 ------------------------------------------ 22
3.3 衝擊認定與符號限制 (SIGN RESTRICTION) --------------------- 24
3.4 貝氏估計法 ----------------------------------------------- 25
4 實證結果 --------------------------------------------------- 30
4.1 美國貨幣政策於不同外溢管道下的 VAR 結果 -------------------- 30
4.2 台灣貨幣政策反事實分析結果 -------------------------------- 31
4.3 比較 2008 金融風暴前後,美國貨幣政策於不同外溢管道下的 VAR 結果 - 32
4.3.1 VAR 比較結果 ---------------------------------------------- 32
4.3.2 台灣貨幣政策反事實分析結果 ---------------------------------- 34
4.4 預測誤差變異數分解 ------------------------------------------- 35
5 結論 ---------------------------------------------------------- 38
6 參考文獻 ------------------------------------------------------- 40
1. 陳建至. (2007). 美國貨幣政策對台灣股票市場之影響,國立成功大學政治經濟研究所碩士論文,2007年。
2. 楊子鐸. (2007). 美國貨幣政策對台灣匯率的影響,國立成功大學政治經濟研究所碩士論文,2007年。
3. 鄭家佶. (2021). COVID-19 期間美國貨幣政策衝擊對台灣的傳遞效果: 以事件研究法分析,國立政治大學國際經營與貿易學系碩士論文,2021年。
4. Anzuini, A., Lombardi, M., & Pagano, P. (2013). The Impact of Monetary Policy Shocks on Commodity Prices. International Journal of Central Banking, 9(3), 125-150.
5. Bai, J. (2003). Inferential theory for factor models of large dimensions. Econometrica, 71(1), 135-171.
6. Barroso, J. (2016). Quantitative easing and United States investor portfolio rebalancing towards foreign assets. Banco Central Do Brasil Working Paper.
7. Bhattacharya, A., Chakraborty, A., & Mallick, B. K. (2016). Fast sampling with Gaussian scale mixture priors in high-dimensional regression. Biometrika, 103(4), 985-991.
8. Botev, Z. I. (2017). The normal law under linear restrictions: simulation and estimation via minimax tilting. Journal of the Royal Statistical Society. Series B (Statistical Methodology), 79(1), 125-148.
9. Bucacos, E. (2017). Impact of International Monetary Policy in Uruguay: A favar Approach.
10. Canova, F. (2005). The transmission of US shocks to Latin America. Journal of Applied Econometrics, 20(2), 229-251.
11. Carvalho, C. M., Polson, N. G., & Scott, J. G. (2010). The horseshoe estimator for sparse signals. Biometrika, 97(2), 465-480.
12. Checo, A. M., Pradel, S., & Ramırez, F. (2017). The effects of USA monetary policy on Central America and the Dominican republic. Investigación Conjunta-Joint Research, in: Ángel Estrada Garcıa & Alberto Ortiz Bolaños (ed.), International Spillovers of Monetary Policy, Centro de Estudios Monetarios Latinoamericanos, CEMLA, Buenos Aires, Argentina, 189-222.
13. Damien, P., & Walker, S. G. (2001). Sampling Truncated Normal, Beta, and Gamma Densities. Journal of Computational and Graphical Statistics, 10(2), 206-215.
14. Frankel, J. A. (2008). 7. The Effect of Monetary Policy on Real Commodity Prices. In Asset Prices and Monetary Policy (pp. 291-334). University of Chicago Press.
15. Gorodnichenko, Y. (2006). Reduced-Rank Identification of Structural VARs.
16. Hernández, K. (2017). The Transmission of US Monetary Policy Normalization to Emerging Markets. International Spillovers of Monetary Policy”, CEMLA.
17. Ho, S. W., Zhang, J., & Zhou, H. (2018). Hot money and quantitative easing: The spillover effects of US Monetary policy on the Chinese Economy. Journal of Money, Credit and Banking, 50(7), 1543-1569.
18. Hsu, W.-J. (2022). Oil price shocks, Inflation Expectations and Monetary Policy: Evidence from Taiwan. Jing Ji Lun Wen Cong Kan, 50(1), 87-133.
19. Kilian, L., & Lewis, L. T. (2011). Does the Fed Respond to Oil Price Shocks? The Economic Journal, 121(555), 1047-1072.
20. Korobilis, D. (2022). A new algorithm for structural restrictions in Bayesian vector autoregressions. European Economic Review, 148, 104241.
21. Lee, S., & Bowdler, C. (2022). International spillovers from US monetary policy: Evidence from Asian bank-level data. Journal of International Money and Finance, 127, 102677.
22. Lütkepohl, H. (2005). New introduction to multiple time series analysis. Springer Science & Business Media.
23. Maćkowiak, B. (2007). External shocks, US monetary policy and macroeconomic fluctuations in emerging markets. Journal of monetary economics, 54(8), 2512-2520.
24. Makalic, E., & Schmidt, D. F. (2016). A Simple Sampler for the Horseshoe Estimator. IEEE Signal Processing Letters, 23(1), 179-182.
25. McCracken, M., & Ng, S. (2016). FRED-MD: A Monthly Database for Macroeconomic Research. Journal of Business & Economic Statistics, 34(4), 574-589.
26. Miranda-Agrippino, S., & Rey, H. (2020). US monetary policy and the global financial cycle. The Review of Economic Studies, 87(6), 2754-2776.
27. Murray, A. (2017). Investigating Monetary Policy Spillovers from the United States of America to Jamaica. Investigación Conjunta-Joint Research, 287-319.
28. Peersman, G. (2005). What Caused the Early Millennium Slowdown? Evidence Based on Vector Autoregressions. Journal of Applied Econometrics, 20(2), 185-207.
29. Ramirez Bulos, C., & González, M. (2017). Have QE Programs Affected Capital Flows to Emerging Markets?: A Regional Analysis.
30. Rubio-Ramirez, J. F., Waggoner, D. F., & Zha, T. (2010). Structural vector autoregressions: Theory of identification and algorithms for inference. The Review of Economic Studies, 77(2), 665-696.
31. Schmidt, J., Caccavaio, M., Carpinelli, L., & Marinelli, G. (2018). International spillovers of monetary policy: Evidence from France and Italy. Journal of International Money and Finance, 89, 50-66.
32. Spiegelhalter, D. J., Best, N. G., Carlin, B. P., & Van Der Linde, A. (2002). Bayesian Measures of Model Complexity and Fit. Journal of the Royal Statistical Society Series B: Statistical Methodology, 64(4), 583-639
33. Stock, J. H., & Watson, M. W. (2005). Understanding Changes in International Business Cycle Dynamics. Journal of the European Economic Association, 3(5), 968-1006.
 
 
 
 
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