Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/36168
題名: 台灣泰勒法則實證分析
作者: 簡立欣
Chien,Li-Hsin
貢獻者: 鍾經樊
簡立欣
Chien,Li-Hsin
關鍵詞: 泰勒法則
Taylor rule
QVAR
日期: 2004
上傳時間: 18-Sep-2009
摘要: 泰勒法則 (Taylor rule) 認為央行關心的主要是產出成長與物價的穩定,利用利率工具促使產出成長與物價回到長期穩定水準。此法則由於操作簡單,容易為大眾了解,因此不但有助於人民對央行政策的監督,增加央行的責任感,也為民間提供一個預測未來經濟的工具,降低金融波動。雖然台灣每年仍會公佈貨幣數量 M2 的目標區,似採以盯住貨幣數量為主的貨幣政策,但近年來由於金融創新與自由化,貨幣替代品日增,貨幣的定義也日漸模糊,貨幣和產出及物價目標的相關性降低,我們因此有興趣檢測台灣央行的利率操作是否遵循泰勒法則。由於台灣是個小型開放體系,匯率對經濟狀況有很大的影響力,本文將匯率的變動引入泰勒法則,\r\n和原本的產出成長和物價一同作為央行所關心的政策目標。匯率固有其重要性,但相較於產出成長和物價,對景氣的影響是間接的,所以本文認,央行對匯率的關心主要在其變動方向,而非變動幅度。在這種想法下,匯率在泰勒法則中將只是一個顯示其升降的指標變數。\r\n\r\n本文在動態計量模型的設定上,考慮到內生變數間的同期因果關係,以及它們當中存在二元變數,故採用 Duker (2005) 裡所擬議的 Qual VAR (qualitative variable) 模型,使用 Markov Chain Monte Carlo (MCMC) 進行估計。對於估計結果的分析,則大致如同標準的VAR模型,\r\n除了比較模型估計的顯著性與係數大小外,主要是要進行衝擊反應 (impulse-response) 分析,檢驗在各個政策目標的隨機衝擊下,對央行所操控的利率會有什麼樣的影響。
參考文獻: 杜家雯 (2001), <<台灣貨幣政策法則之理論與實證分析-央行價量操作之比較>>, 國立政治大學經濟系碩士論文。
吳中書與林金龍 (2002), ┌台灣潛在國內生產毛額的推估及其在政策上的應用┘, 行政院經濟建設委員會研究報告。
劉淑敏 (1999), ┌泰勒法則在台灣的實證研究┘, <<中央銀行季刊>>, 22, 77-98。
Andersen, Leonall C., and Jordan,Jerry L. (1968) “Monetary and Fiscal Actions: A Test of Their Relative Importance in Economic Stabilization,” Federal Reserve Bank of St. Louis Review, 30, 889920.
Backus, David and Driffill, John (1985), “Inflation and Reputation,” American Economic Review, 75, 530538.
Ball, Laurence, (1999), “Aggregate Demand and LongTerm Unemployment,” Brookings papers on Economic Activity, 2, 189251
Birchenhall, C. R., Jessen, H., Osborn, D. R. and Simpson, P. (1999), “Predicting U.S. BussinessCycle Regimes,” Journal of Business and Economic Statistics, 17, 7997
Chib, S. and Greenberg, E. (1995), “Understanding the MetropolisHastings Algorithm,” American Statistical Association, 49, 327335.
Clarida, Richard, Jordi Gali and Mark Gertler (1998), “Monetary Policy Rules in Practice: Some International Evidence,” European Economic Review, 42, 10331067
Clarida, Richard, Jordi Gali and Mark Gertler (1999), “The Science of Monerary Policy: A New Keynesian Perspective,” Journal of Economic Literature, 37, 16611707.
Clarida, Richard, Jordi Gali and Mark Gertler (2000), “Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory,” The Quarterly Journal of Economics, 115, 147180.
55
Clarida, Richard, Jordi Gali and Mark Gertler (2001), “Optimal Monetary Policy in Open vs. Closed Economies,” American Economic Review, 91, 248252
Cowles, M. K. and Carlin, Bradley P. “Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review,” Working paper
Dueker, M. (1999), “Conditional Heteroscedasticity in Qualitative Response Models of Time
Series: A Gibbs Sampling Approach to the Bank Prime Rate,” Journal of Business and
Economic Statistics, 17, 466472.
Dueker, M. (2005), “Dynamic Forecasts of Qualitative Variables: A Qual VAR Model of U.S. Recessions,” Journal of Business and Ecomomic Statistics, 23, 96104
Eichengreen, B.Watson, M. W. and Grossman, R. S. (1985), “Bank Rate Policy Under the Interwar Gold Standard,” Economic Journal 95, 725745
Estrella, A. and Mishkin, F. S. (1998), “Predicting US Recessions: Financial Variables as Leading Indieators,” Review of Economics and Statistics, 80, 4561
Gramlich, M. (2005) “The Politics of Inflation Targeting,” At the Euromoney Inflation Conference, Paris, France, May 26,2005
Hamilton JD. (1994), Time Series Analysis, Princeton University Press: Princeton, NJ.
Harvey, A.C. (1989), Forecasting, Structural Time Series Models and the Kalman Filter, Cambridge University Press.
Hayford, Marc D. and Malliaris, A.G. (2004), “Monetary Policy and the U.S. Stock Market,” Economic Inquiry, 42, 387401
Hsing, Yu (2005), “Did U.S. Monetary Policy Respond to Exchange Rates, LongTerm Interest Rates, and The Unemplyment Rate Gap?,” The International Trade Juornal, 19, 6782
Hsing, Yu (2004), “Estimation the Bank of Japan’s Monetary Policy Reaction Function,” Banca Nazionale del Lavoro Quarterly Review, 229. 169183
56
King, Robert G., and Plosser, Charles I.(1984), “Money Credit, and Prices in a Real Business Cycle,” American Economic Review, 64, 363380
Kydland, Finn E. and Prescott, Edward c., (1977), “Rules Rather than Discretion: The Inconsistency of Optimal Plans,” Journal of Political Economy, 85, 473492.
Romer,Christina D., and Romer, David H. (1989) “Does Monetary Policy Natter? A New Test in the Spirit of Friedman and Schwartz,” NBER Macroeconomics Annual 4, 121170.
Rudebusch, G. (2002), “Term Structure Evidence on Interest Rate Smoothing and Monetary Policy Inertia,” Journal of Monetary Economics, 49, 1161187.
Smith, A. F. M. and Roberts, G. O. (1993), “Baysian Computation via the Gibbs Sampler and Related Markov Chain Monte Carlo Methods,” Royal Statistical Society, Journal.Series B (Methodological), 55, 321.
Svensson, Lars E.O. (1997), “Inflation Forecast Targeting: Implementing and Monitoring Inflation Targets,” European Economic Review, 41, 11111146.
Taylor, John B. (1993), “Discretion Versus Policy Rules in Practice,” CarnegieRochester Conference Series on Public Policy, 39, 195214.
Taylor, John B. (1998), Economics, 2nd ed, Boston: Houghton Mifflin.
Taylor, John B.ed. (1999), Monetary Policy Rules, Chicago: University of Chicago Press.
57
描述: 碩士
國立政治大學
經濟研究所
91258021
93
資料來源: http://thesis.lib.nccu.edu.tw/record/#G0912580211
資料類型: thesis
Appears in Collections:學位論文

Files in This Item:
File SizeFormat
index.html115 BHTML2View/Open
Show full item record

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.