An Alternative Approach to Testing Shocks in First Order Autoregressive Time Series

Günümüzde, zaman serisi analizlerinin temel ilgi konularından biri şok sürekliliğinin (oluşturduğu) değişikliklerdir. Şokların testi temel problemdir. Bu araştırma, çeşitli şoklar ve müdahaleler için uygun bir test istatistiği olup olmadığını saptamayı amaçlamaktadır. Ayrıca şokların outlier (dışsal veri) olarak ele alınması ve şok sürekliliğinin (oluşturduğu) yapısal değişiklikler gibi bazı problemlerle ilgilenir. Bu makale şokları alternatif bir model ile tanımlayıp, yıllık ve aylık zaman serileri için alternatif bir testin bölen dağılımlarını saptamaya çalışır. Birkaç gölge değişkenle ilgili alternatif test istatistiği değerleri için varyanslann homojenliğini test eder. Bu çalışma alternatif test istatistiğinin t istatistiğine karşı gücü hesaplandı ve t istatistiğinin sol yanda yanlış olan sıfır hipotezini kabul etmeye, sağ yanda gerçek olan sıfır hipotezini reddetmeye eğilimli olduğu sonucuna vardı.

Nowadays, innovation of shock persistence is one of the basic focus subjects of the time series analysis. The main problem is testing shocks. This article aims to examine whether there is an appropriate test statistics for various shocks and interventions. Additionally, it deals with some problems, which are considering shocks to be outlier and effect of shock persistence constitutes structural change. Consequently, this article defines shocks with an alternative model and tries to examine the quantiles distribution of an alternative test for annual and monthly time series. It examines homogeneity of variances for the values of alternative test statistics about several dummy variables (shocks). This study calculated power of the alternative test statistics against t statistics, and concludes that t statistics tends to accept the false null hypothesis in left side and reject the true null hypothesis in right side.

___

  • ABADIR, K.M. (1993): "On the Asymptotic Power of Unit Root Tests," Econometric Theory, 9,189-221.
  • ANDREWS, D.W.K. (1993): "Exactly Median Unbiased Estimation of First Order Autoregressive/ Unit Root Models," Econometrica, 61,139-166.
  • BOX, G.E.P., AND G.M.JENKINS (1970a): "Distribution of Residual Autocorrelation in Autoregressive Integrated Moving Averages," Journal of American Statistical Association, 65, 1509-1526. (1970b): Time Series Analysis, Forecasting and Control. San Francisco: Holden-Day, Inc.
  • BRATT, E.C. (1953). Business Cycles and Forecasting, 4th ed. Illinois: Richard D. Irving, Inc.
  • COCHRANE, J.H. (1991): "A Critique of the Application of Unit Root Test," Journal of Economic Dynamics and Control, 15,275.
  • CORBAE, D., AND S.OULIARIS (1986): "Robust Test for Unit Roots in the Foreign Exchange Market," Econometric Letters, 22,375-380.
  • DE JONG, D.N., J.C.NANKERVIS, N.E.SAVIN, AND CM-WHITEMAN (1989): "Unit Root or Coin Tosses for Time Series with Autoregressive Errors," Department of Economics, University of Iowa, Working Paper 14. (1992): The Power Problem of Unit Root Tests in Time Series with Autoregressive Errors," Journal of Econometrics, 53,232-243.
  • DICKEY, D.A., AND W.A.FULLER (1979)."Distribution of the Estimates for Autoregressive Time Series With a Unit Root," Journal of American Statistical Association, 74,427-431. (1981): Likelihood Ratio Statistics for Autoregressive time Series with a Unit Root," Econometrica, 49, 1057-1072.
  • DICKEY, D.A., AND S.PANTULA (1987): "Determining the Order of Differencing in Autoregressive Process," Journal of Business and Economic Statistics, 15,455-461.
  • EVANS, G.B.A., AND N.E.SAVIN (1984): "Testing for Unit Roots: 2," Econometrica, 52, 1241-1269.
  • FARNUM, N.R., AND L.V.W.STANTON (1989): Quantitative Forecasting Methods. Boston: PWS-Kent Publishing Comp.
  • FULLER, W.A. (1996): Introduction to Statistical Time Series. New York: John Wiley and Sons Inc.
  • GREASLEY, D., AND L.OXLEY (1997): "Shock Persistence and Structural Change," Economic Record, 73, 348-362.
  • HAMILTON, J.D. (1994): Time Series Analysis. New York: Princeton University Press.
  • HYLLEBERG, S., R.ENGLE, C.GRENGER, AND B.YOO (1990): "Seasonal Integration and Cointegration," Journal of Econometrics, 44, 215-238.
  • KWIATKOWSKI, D., P.PHILLIPS, P.SCHMIDT, AND Y.SHIN (1992): "Test of Null Hypothesis of Stationary against the Alternative of a Unit Root sure are we that Economic Time Series have'Unit Root? ," Journal of Econometrics, 54, 159-178.
  • LUMSDAINE, R.L., AND D.E.PAPEL (1997): "Multiple Trend Breaks and the Unit Root Hypothesis," Review of Economics and Statistics, 79, 212-222.
  • MADDALA, G.S., AND S.W. WU (1999). "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, 61, 631.
  • MAYADUNNE, G., M.EVANS, AND B.INDER (1995): "An Empirical Investigation of Shock Persistence in Economic Time Series," Economic Record, 71, 145-156.
  • MOOD, A.M., F.A. GRAYBILL, AND D.C. BOES (1974): Introduction to the Theory of Statistics.3 rd ed. Tokyo: McGraw Hill, Inc.
  • NABEYA, S., AND K.TANAKA (1990): "Limiting Power of Unit Root Tests in Time Series Regression," Journal of Econometrics, 46, 247-271.
  • NELSON, R.C. (1973): Applied Time Series Analysis. San Francisco: Holden-Day, Inc.
  • PERRON, P. (1989): "The Great Crash the Oil Price Shock and the Unit Root Hypothesis," Econometrica, 57, 1361-1401.
  • PHILLIPS, P., AND P.PERRON (1988): "Testing for Unit Roots in Time Series Regression," Biometrica, 75, 335-346.
  • PIPPENGER, M.K., AND G.E.GOERING (1993): "A Note on the Empirical Power of Unit Root Test under Threshold Process," Oxford Bulletin of Economics and Statistics, 55, 471-473.
  • SAID, S., AND D.DICKEY (1984): "Testing for Unit Roots in Autoregressive Moving Average Models with Unknown order," Biometrica, 71, 599-607.
  • SARGAN, J.D., AND A. BHARGAVA (1983): "Testing Residual from Least Squares Regression for Being Generated by Gaussian Random Walk," Econometrica, 51, 153-174.
  • SLUTZKY, E. (1937): "The Summation of Random Causes as the Source of Cyclic Process," Econometrica, 5, 105-146.
  • WOLD, H (1938): A Study in the Analysis of Stationary Time Series. Upsala: Almquist and Wiksells Boktryckeri Aktiebolag.
  • YIN, Y., AND G.S.MADDALA (1998): "The Effect of Different Types of Outliers on Unit Root Tests," Advances in Econometrics, 13, 269-305.
  • YULE, G.U. (1921): "On the Time-Correlation Problem, with Especial Reference to the Variate-Difference Correlation Method," Journal of Royal Statistics Society, 84, 497.
İstanbul Üniversitesi İktisat Fakültesi Mecmuası-Cover
  • ISSN: 1304-0235
  • Yayın Aralığı: Yılda 4 Sayı
  • Yayıncı: Kare Yayıncılık