跳到主要內容

臺灣博碩士論文加值系統

(216.73.216.134) 您好!臺灣時間:2025/11/19 17:21
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:許志嘉
研究生(外文):Chih-Chia Hsu
論文名稱:中國大陸貨幣需求函數之實證研究─非線性方法之應用
論文名稱(外文):An Empirical Analysis of the Money Demand Function in China:Using Nonlinear Model
指導教授:張倉耀張倉耀引用關係
指導教授(外文):Tsang-Yao Chang
學位類別:碩士
校院名稱:逢甲大學
系所名稱:經濟學所
學門:社會及行為科學學門
學類:經濟學類
論文種類:學術論文
論文出版年:2004
畢業學年度:92
語文別:中文
論文頁數:54
中文關鍵詞:KSS單根檢定非線性貨幣需求函數平滑移轉迴歸門檻自我迴歸門檻共整合檢定
外文關鍵詞:STRTARKSSThreshold cointegrationMoney demand Non-linear
相關次數:
  • 被引用被引用:5
  • 點閱點閱:234
  • 評分評分:
  • 下載下載:49
  • 收藏至我的研究室書目清單書目收藏:1
過去研究總體經濟變數模型主要以線性模型居多,但自Granger and Teräsvirta(1993)與Teräsvirta(1994)提出平滑轉換迴歸模型(Smooth Transition Regression Model,簡寫成STR)後,應用非線性模型來探討總體經濟變數逐漸形成主流,而有鑒於過去研究中國大陸貨幣需求函數多以線性模型來探討,因此本研究改用非線性方法來加以診斷、檢定中國大陸貨幣需求是否存在非線性模型,並與線性模型來相互比較,而實證結果發現,在共整合方面,如Johansen共整合檢定法檢定出,在M1實質貨幣數量、實質國內生產毛額及存款利率間,具有一條共整合關係式,存在著長期均衡關係;另外以門檻共整合檢定法檢定出,此模型在某一特定門檻值下,具有非對稱效果之門檻共整合關係。而在模型之配適上,以非線性之LSTR模型較為適合,並且較線性模型來解釋總體經濟涵義有更好的檢定能力。

Most models of the past research on macroeconomic variables are linear ones. However, since Granger and Teräsvirta proposed the smooth transition regression(STR) methodology, discussing macroeconomic variables by applying nonlinear models are going to be the mainstream. Because the money demand function of mainland China was almost discussed by linear models in the past research, we will discuss it by nonlinear models to test and diagnose if the money demand of mainland China exists any nonlinear forms which will be compared with other linear models. Empirical results indicate that real M1,real GDP, and saving deposit rate have a long term relationship under some specific threshold value. On the selection of choosing models, it is more suitable to select the LSTR model which has better capacity than other linear models to explain macroeconomic meanings.

目 錄
第一章 緒論..................................................1
第一節 研究動機及目的........................................1
第二節 研究流程與步驟........................................2
第三節 本文架構..............................................2
第二章 文獻回顧..............................................3
第一節 中國大陸相關文獻回顧..................................3
第二節 國內相關文獻回顧......................................4
第三節 國外相關文獻回顧......................................6
第三章 研究方法..............................................9
第一節 恆定性檢定(單根檢定) .................................9
第二節 共整合檢定...........................................13
第三節 非線性模型...........................................19
第四章 實證結果與分析.......................................23
第一節 資料來源與處理.......................................23
第二節 資料期間與概述.......................................25
第三節 模型設立.............................................28
第四節 恆定性檢定(單根檢定) ................................28
第五節 共整合檢定...........................................30
第六節 模型檢定.............................................35
第七節 模型參數估計.........................................39
第五章 結論與建議...........................................44
第一節 結論.................................................44
第二節 建議.................................................44
參考文獻....................................................45
中文部份:

柳復起(1970),「論台灣貨幣需求」,台灣貨幣與金融論文集。

張家宜(1989),「台灣貨幣需求函數之實證研究」,淡江大學出版部。

簡濟民(1992),「台灣地區貨幣需求函數之實證研討─誤差修正模型之應用」,中央銀行季刊,第十四卷第三期。

王偉(2000),「台灣貨幣需求函數再探討─非線性模型之應用」,私立輔仁大學經濟學研究所碩士論文。

易行健(2003),「中國的長期均衡和短期動態貨幣需求模型估計」,中國經濟學年會論文集。

英文部分:

Campbell, J. Y. and P. Perron (1991), “Pitfalls and opportunities: what macroeconomists should know about unit roots.”, NBER Macroeconomics
Annu, 141-201.

Caner, M. and B.E. Hansen (2001), “Threshold autoregressions with a unit root.” Econometrica, 69, 1555-1596.

Chan, K.S. (1993). “Consistency and limiting distribution of the least squares estimator of a threshold autoregressive model”, The Annals of Statistics, 21, 520-533.

Dickey, David and Wayne A. Fuller (1979), “Distribution of the estimates for autoregressive time series with a unit root”, Journal of the American Statistical Association 74, June , 427-431.

Engle, R. F. and C. W. J. Granger (1987), “Cointegration and error correction:
representation, estimation and testing” , Econometrica, 55, 51-276.


Enders, W. and C. W. J. Granger (1998), “Unit root tests and asymmetric adjustment with an example using the term structure of interest rates”, Journal
of Business and Economic Statistics, 16, 304-311.

Enders, W. and P.L. Siklos (2001), “Cointegration and threshold adjustment”, Journal of Business and Economic Statistics, 19, 166-176.

Granger, C. W. J. (1981), “Some properties of time series data and their use in econometric model specification”, Journal of Econometrics, 16, 121-130.

Granger C. W. J., and A. A. Weiss (1983), “Time series analysis of error-correcting models”, Studies in Econometrics, Time Series and
Multivariate Statistics, Academic Press, New York, 255-278.

Granger, C.W.J., P. Newbold (1974), “Spurious Regressions in Econometrics”, Journal of Econometrics, 2, 111-120

Granger, C.W.J. and T. Teräsvirta (1993), “Modelling nonlinear economic
relationships” ,Oxford University Press.

Hansen, H. and K. Juselius (1995), CATS in RATS: Cointegration Analysis of Time Series. Evanston (IL):Estima.

Hendry, David F. and Neil R. Ericsson (1991), “Modeling the demand for narrow money in the United Kingdom and the United States”, European
Economic Review, 35, 833-886.

Huang, C. J., Jeff C.F. Lin, and J.C. Cheng (2001), “Evidence on nonlinear error correction in money demand: the case of Taiwan” , Applied Economics,
33, 1727-1736.

Huang, Guobo (1994), “Money demand in China in the reform period: an error correction model”,Applied Economics, 26, 713-719.

Javier, Ordóñez (2003), “Stability and non-linear dynamics in the broaddemand for money in Spain” , Economics Letters, 78, 139-146.


Johansen, S. (1988), “Statistical analysis of cointegrating vectors” , Journal of Economic Dynamics and Control, 12, 231-254.

Johansen, S. (1991), “Estimation and hypothesis testing of cointegrating vectors in gaussian vector autoregressive model” , Econometrica,
59,1551-1580.

Johansen, S. and K. Juselius (1990), “Maximum likelihood estimation and inference on cointegration – with applications to the demand for money” ,
Oxford Bulletin of Economics and Statistics, 52,169-210.

Kapetanios, G., Y. Shin and A. Snell (2003), “Testing for a unit root in thenonlinear STAR framework” , Journal of Econometrics, 112, 359-379.

Khadaroo, A. J. (2003), “A smooth transition regression equation of thedemand for UK M0” , Applied Economics Letters, 10, 769-773.

Kwiatkowski, D., P.C.B. Phillips, P. Schmidt and Y. Shin (1992),“Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root?”, Journal of Econometrics,
54, 159-178.

Lin, C.J. and T. Teräsvirta (1994), “Testing the constancyof regressionparameters against continuous structural change”, Journal of Econometrics, 62, 211-228.

Lütkepohl, H., T. Teräsvirta and J. Wolters (1999), “Investigating stability and linearity of a German M1 money demand function” ,Journal of Applied
Econometrics, 14, 511-525.

MacKinnon James(1990), “Critical values for cointegration tests”, University
of California at San Diego, Economics Working Paper Series 90-4.

Michael, P. and A.R. Nobay and D.A. Peel (1997), “Transactions costs and nonlinear adjustment in real exchange rates:an Empirical investigation”,
Journal of Political Economy, 105, 862-879.


Nelson, C. R. and C. Plosser (1982). “Trends and random walks in macroeconomic time series: Some evidence and implications” , Journal of
Monetary Economics, 10, 139-162.

Osterwald-Lenum, M. (1992). “A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics”,
Oxford Bulletin of Economics and Statistics, 54, 461-472.

Petruccelli, J. D. and S. W. Woolford (1984). “A threshold AR(1) model.”,
Journal of Applied Probability, 21, 587-611.

Hafer, R. W. and A. M. Kutan (2001), “Economic Reforms and long-run money demand in China:Implications for monetary policy”, Southern IllinoisUniversity.

Sarantis, N. (1999), “Modeling non-linearities in real effective exchange rates.”, Journal of International Money and Finance, 18, 27-45.

Schwert, G. W. (1989), “Tests for Unit Roots: A Monte Carlo Investigation” ,
Journal of Business and Economic Statistics, 7, 147-159.

Teräsvirta, T. and H. Anderson (1992), “Characterizing nonlinearities in business cycles using smooth transition autoregressive models”, Journal of
Applied Econometrics, 7, 119-139.

Teräsvirta, T.(1994), “Specification , Estimation and Evaluation of Smooth Transition Autoregressive Models”, Journal of the American Statistical
Association, 89, 208-218.

Tong, H. (1983), “ Threshold Models in Nonlinear Time Series Analysis ”,New York: Springer-Verlag.

Tong, H. (1990), “Nonlinear Time Series: A Dynamical System Approach.”,
Oxford: Clarendon Press.

Yu, Qiao and Albert K. Tsui (2000), “Monetary services and money demand in China”, China Economic Review, 11,134-148.

QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top