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Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/131980
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dc.contributor.advisor吳致謙zh_TW
dc.contributor.author胡凱翔zh_TW
dc.contributor.authorHu, Kai-Xiangen_US
dc.creator胡凱翔zh_TW
dc.creatorHu, Kai-Xiangen_US
dc.date2020en_US
dc.date.accessioned2020-09-02T06:32:22Z-
dc.date.available2020-09-02T06:32:22Z-
dc.date.issued2020-09-02T06:32:22Z-
dc.identifierG0108258003en_US
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/131980-
dc.description碩士zh_TW
dc.description國立政治大學zh_TW
dc.description經濟學系zh_TW
dc.description108258003zh_TW
dc.description.abstract本文使用台灣資料，探討考慮金融摩擦的情況下，是否能增進新凱因斯動態隨機一般均衡模型(New Keynesian dynamic stochastic general equilibrium model, DSGE) 對於台灣總體資料的配適度。具體來說，我選用抵押限制 (Collateral Constraint) 捕捉金融摩擦；我使用台灣資料，重新對模型參數進行校對 (Calibration) 與貝氏估計(Bayesian estimation)，並在文末比較是否考慮金融摩擦會提升無金融摩擦模型的解釋能力。最後我發現無金融摩擦的模型在相關性、自我相關性的資料配適能力均優於考慮金融摩擦的模型。因此考慮金融摩擦並無法有效增進新凱因斯動態隨機一般均衡模型對台灣資料的配適能力。zh_TW
dc.description.abstractThis paper investigates whether the New Keynesian Dynamic Stochastic General Equilibrium model(DSGE) will improve its fitness to Taiwan macroeconomic data in the case of considering financial friction. In particular, I consider the Collateral Constraint as the financial friction. I estimate model parameters by using Taiwan data with Calibration and Bayesian Estimation, and compare the fitness to moments of Taiwan data with and without thefinancial friction. I find that the frictionless DSGE model has a better fitness to Taiwan data in terms of correlation and autocorrelation. To conclude, considering the credit constraint cannot boost the fitness to Taiwan macroeconomic data for New Keynesian DSGE model.en_US
dc.description.tableofcontents致謝..............................................i\n中文摘要..........................................ii\n英文摘要..........................................iii\n\n1 緒論..........................................1\n\n2 模型..........................................2\n2.1 商品廠商..........................................2\n2.2 勞動廠商..........................................5\n2.3 家計單位..........................................6\n2.4 政府和貨幣機構.....................................8\n2.5 企業與銀行機構.....................................8\n2.6 市場結清條件......................................10\n\n3.對數線性化.............................................10\n3.1 NK 模型.........................................11\n3.2 CC 模型.........................................12\n\n4.參數估計...............................................14\n4.1 校對.............................................14\n4.2 貝氏估計.........................................15\n\n5.動差分析..............................................18\n\n6.脈衝反應分析..........................................20\n\n7.結論.................................................22\n\n參考文獻................................................23\n\n附錄A 資料處理.........................................25\nA.1 原始資料.........................................25\nA.2 資料處理-校對....................................25\nA.3 資料處理-貝氏估計................................25\n\n附錄B 校對過程.........................................26\nB.1 NK 模型.........................................26\nB.2 CC 模型.........................................27zh_TW
dc.format.extent1331199 bytes-
dc.format.mimetypeapplication/pdf-
dc.source.urihttp://thesis.lib.nccu.edu.tw/record/#G0108258003en_US
dc.subject動態隨機一般均衡模型zh_TW
dc.subject金融摩擦zh_TW
dc.subject抵押限制zh_TW
dc.subjectDSGEen_US
dc.subjectFinancial Frictionen_US
dc.subjectCollateral Constraint(CC)en_US
dc.title考慮帶有金融市場摩擦的新凱因斯動態隨機一般均衡模型於台灣：基於貝式理論分析zh_TW
dc.titleThe New Keynesian DSGE Models with Financial Frictions for Taiwan: Based on Bayesian Methodsen_US
dc.typethesisen_US
dc.relation.reference1.黃俞寧,動態隨機一般均衡架構在台灣貨幣政策制定上之應用,計畫編號,101cbc-經1, 2012\n\n2.陳旭昇與湯茹茵\n動態隨機一般均衡（DSGE）模型在貨幣政策制定上的應用：一個帶有批判性的回顧與展望\n經濟論文叢刊, 臺灣大學經濟學系, 2012, 40, 289-323\n\n3.陳旭昇與吳聰敏\n台灣貨幣政策法則之檢視\n經濟論文, 中央研究院經濟研究所, 2010, 38, 33-59\n\n4.張蓁昀\n在金融摩擦下外部融資溢酬之分析─以台灣DSGE實證為例\n2012\n\n5.Bernanke, B. & Gertler, M.\nAgency Costs, Net Worth, and Business Fluctuations\nThe American Economic Review, American Economic Association, 1989, 79, 14-31\n\n6.Brzoza-Brzezina, M. & Kolasa, M.\nBayesian Evaluation of DSGE Models with Financial Frictions\nJournal of Money, Credit and Banking, 2013, 45, 1451-1476\n\n7.Christiano, L.; Eichenbaum, M. & Evans, C.\nNominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy\nJournal of Political Economy, The University of Chicago Press, 2005, 113, 1-45\n\n8.Christiano, L.; Motto, R. & Rostagno, M.\nFinancial Factors in Economic Fluctuations\nEuropean Central Bank, European Central Bank, 2010\n\n9.Christiano, L. J.; Eichenbaum, M. S. & Trabandt, M.\nOn DSGE Models\nJournal of Economic Perspectives, 2018, 32, 113-40\n\n10.Guerrieri, L. & Iacoviello, M.\nCollateral Constraints and Macroeconomic Asymmetries\nJournal of Monetary Economics, 2017, 90, 28 - 49\n\n11.Hwang, Y.-N. & Ho, P.-Y.\nOptimal Monetary Policy for Taiwan: A Dynamic Stochastic General Equilibrium Framework\n經濟論文, 中央研究院經濟研究所, 2012, 40, 447-482\n\n12.Iacoviello, M.\nHouse Prices, Borrowing Constraints, and Monetary Policy in the Business Cycle\nAmerican Economic Review, 2005, 95, 739-764\n\n13.Jermann, U. & Quadrini, V.\nMacroeconomic Effects of Financial Shocks\nAmerican Economic Review, 2012, 102, 238-71\n\n14.Kiyotaki, N. & Moore, J.\nCredit Cycles\nJournal of Political Economy, The University of Chicago Press, 1997, 105, 211-248\n\n15.Smets, F. & Wouters, R.\nAn Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area\nJournal of the European Economic Association, 2003, 1, 1123-1175\n\n16.Smets, F. & Wouters, R.\nShocks and Frictions in US Business Cycles: A Bayesian DSGE Approach\nAmerican Economic Review, 2007, 97, 586-606\n\n17.Teo, W. L.\nEstimated Dynamic Stochastic General Equilibrium Model of the Taiwanese Economy\nPacific Economic Review, 2009, 14, 194-231zh_TW
dc.identifier.doi10.6814/NCCU202001384en_US
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