题名

當期景氣衰退指標可否作爲門檻變數?樣本外預測檢定之應用

并列篇名

Whether the Current Depth of Recession Could Be the Threshold Variable? The Out-of-Sample Forecasting Test

DOI

10.29765/TEI.200907.0002

作者

李源明(Yuan-Ming Lee);黃柏農(Bwo-Nung Huang);王冠閔(Kuan-Min Wang)

关键词

當期景氣衰退指標 ; 景氣循環 ; 樣本外預測 ; 門檻模型 ; Current Depth of Recession ; Business Cycle ; Out-of-Sample Forecasting ; Threshold Model

期刊名称

經濟研究

卷期/出版年月

45卷2期(2009 / 07 / 31)

页次

189 - 235

内容语文

繁體中文

中文摘要

本文修改當期景氣衰退指標(current depth of recession, CDR),重建CDR在景氣擴張期的資料,再由門檻模型(threshold model)的估計,調整正、負值範圍,消除景氣區分由外生決定的缺點。本文以7大工業國、香港、馬來西亞、菲律賓、南韓以及台灣等國家,自1959年至2005年的季資料爲樣本,分別建構以CDR、修正CDR(modified CDR, MCDR)爲門檻變數的門檻模型,進行樣本外預測效能的比較,評估2種門檻模型樣本外預測的效能。實證結果發現,MCDR的預測效能比CDR爲佳,適合納入門檻模型作爲門檻變數。

英文摘要

This study aims to modifies the Current Depth of Recession (CDR) for proving that the modified CDR (MCDR) is more suitable to be threshold variable than the CDR. We first rebuild the CDR data in the expansion period, and then adjust the positive and negative range of the CDR based on the estimation of threshold model. The quarterly data of 12 countries including G-7 countries, Hong Kong, Malaysia, Phillip, South Korea and Taiwan over 1959-2005 are used to construct two types of TAR models which adopt the CDR and the MCDR as threshold variables. To examine the efficiency of out-of-sample forecast, we find that MCDR is more proper for being the threshold variable than CDR.

主题分类 社會科學 > 經濟學
参考文献
  1. Chen, S. W.,J. L. Lin(2000).Modelling Business Cycles in Taiwan with Time-Varying Markov-Switching Models.Academia Economic Papers,28,17-42.
    連結:
  2. Chen, S. W.,J. L. Lin(2000).Identifying Turning Points and Business Cycles in Taiwan: A Multivariate Dynamic Markov-Switching Factor Model Approach.Academia Economic Papers,28,289-320.
    連結:
  3. 陳仕偉、沈中華(2003)。金融領先指標與實質領先指標訊息一致嗎?台灣領先指標的實證分析。人文及社會科學集刊,15,627-660。
    連結:
  4. 中華民國統計資訊網址
  5. Akaike, H.,V. N. Petrov (eds.),F. Csaki (eds.)(1973).Information Theory and the Extension of the Maximum Likelihood Principle.Second International Symposium on Information Theory,Budapest:
  6. Altissimo, F.,G. L. Violant(2001).The Nonlinear Dynamics of Output and Unemployment in the U.S.Journal of Applied Econometrics,16,461-486.
  7. Beaudry, P.,G. Koop(1993).Do Recessions Permanently Change Output?.Journal of Monetary Economics,31,149-163.
  8. Bradley, M. D.,D. W. Jansen(1997).Nonlinear Business Cycle Dynamics: Cross-Country Evidence on the Persistence of Aggregate Shocks.Economic Inquiry,35,495-509.
  9. Chen, C. W. S.,T. C. Chiang,M. K. P. So(2003).Asymmetrical Reaction to US Stock-return News: Evidence from Major Stock Markets Based on a Double-Threshold Model.Journal of Economics and Business,55,487-502.
  10. Chung, S. K.(2006).The Out-of-sample Forecasts of Nonlinear Longmemory Model of the Real Exchange Rate.International Journal of Finance and Economics,11,355-370.
  11. Delong, J. B.,L. H. Summers ,R. J. Gordon (ed.)(1986).The American Business Cycle: Continuity and Change.Chicago:Chicago University Press.
  12. Diebold, F. X.,R. S. Mariano(1995).Comparing Predictive Accuracy.Journal of Business and Economic Statistics,13,253-263.
  13. Filardo, A. J.(1994).Business-cycle Phases and Their Transitional Dynamics.Journal of Business and Economic Statistics,12,299-308.
  14. Filardo, A. J.,S. F. Gordon(1998).Business Cycle Durations.Journal of Econometrics,85,99-123.
  15. Granger, C. W. J.,P. Newbold(1974).Spurious Regressions in Economics.Journal of Econometrics,2,111-120.
  16. Hamilton, J. D.(1989).A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle.Econometrica,57,357-384.
  17. Hamilton, J. D.,G. Lin(1996).Stock Market Volatility and the Business Cycle.Journal of Applied Economics,11,573-593.
  18. Hansen, B. E.(1999).Threshold Effects in Non-Dynamic Panels: Estimation, Testing and Inference.Journal of Econometrics,93,345-368.
  19. Hansen, B. E.(1996).Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis.Econometrica,64,413-430.
  20. Henry, O. T.,N. Olekalns,J. Thong(2004).Do Stock Market Returns Predict Changes to Output? Evidence from a Nonlinear Panel Data Model.Empiral Economics,29,527-540.
  21. Huang, B. N.,C. W. Yang(2004).Industrial Output and Stock Price Revisited: An Application of the Multivariate Indirect Causality Model.The Manchester School,72,347-362.
  22. Huang, B. N.,M. J. Hwang,H. P. Peng(2005).The Asymmetry of the Impact of Oil Price Shocks on Economic Activities: An Application of the Multivariate Threshold Model.Energy Economics,27,455-476.
  23. Hussey, R.(1992).Nonparametric Evidence on Asymmetry in Business Cycles Using Aggregate Employment Time Series.Journal of Econometrics,51,217-231.
  24. Layton, A. P.,M. Katsuura(2001).A New Turning Point Signalling System Using the Markov Switching Model with Application to Japan, the USA and Australia.Applied Economics,33,59-70.
  25. Ljung, G.,G. Box(1979).On a Measure of Lack of Fit in Time Series Models.Biometrika,66,265-270.
  26. Öcal, N.(2006).Nonlinear Models Composite Longer Leading Indicator and Forecasts for UK Real GDP.Applied Economics,38,1049-1053.
  27. Pagan, A.(1984).Econometric Issue in the Analysis of Regression with Generated Regressor.International Economic Review,25,221-247.
  28. Pedersen, T. M.,A. M. Elmer(2003).International Evidence on the Connection between Business Cycles and Economic Growth.Journal of Macroeconomics,25,255-275.
  29. Perron, P.(1997).Further Evidence on Breaking Trend Functions in Macroeconomic Variables.Journal of Econometrics,80,355-385.
  30. Pesaran, M. H.,S. M. Potter(1997).A Floor and Ceiling Model of US Output.Journal of Economic Dynamics and Control,21,661-695.
  31. Phillips P. C. B.,P. Perron(1988).Testing for a Unit Root in Time Series Regressions.Biometrika,65,335-346.
  32. Said, S. E.,D. A. Dickey(1984).Testing for Unit Roots in Autoregressive Moving Average Models of Unknown Order.Biometrika,71,599-607.
  33. Tong, H.,C. H. Chen (ed.)(1978).Pattern Recognition and Signal Processing.Amsterdan:Sijthoff & Noordhoff.
  34. Tong, H.,K. S. Lim(1980).Threshold Autoregression, Limit Cycles and Cyclical Data.Journal of the Royal Statistical Society, Series B, Methodological,42,245-292.
  35. Tsay, R. S.(1998).Testing and Modelling Multivariate Threshold Models.Journal of the American Statistical Association,93,1188-1202.
  36. Tsay, R. S.(1989).Testing and Modeling Threshold Autoregressive Processes.Journal of American Statistical Association,84,231-240.
  37. Weise, C. L.(1999).The Asymmetric Effects of Monetary Policy: A Nonlinear Vector Autoregression Approach.Journal of Money, Credit, Banking,31,85-108.
  38. 林向愷、黃裕烈、管中閔(1998)。景氣循環轉折點認定與經濟成長率預測。經濟論文叢刊,26,431-457。
  39. 徐士勛、管中閔(2001)。九○年代台灣的景氣循環:馬可夫轉換模型與紀卜斯抽樣法的應用。人文及社會科學集刊,13,515-540。