PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Czasopismo
2005 | nr 11-12 | 4--15
Tytuł artykułu

Długa pamięć w szeregach PKB - estymacja parametru integracji ułamkowej zmodyfikowaną metodą autokorelacyjną

Warianty tytułu
Long memory in GDP series - estimation of the fractional integration parameter modified by autocorrelation
Języki publikacji
PL
Abstrakty
Celem artykułu jest przedstawienie właściwości stosunkowo nowej metody estymacji stopnia zintegrowania. Zaprezentowano: propozycję korekty oszacowań otrzymanych na podstawie metody, pozwalającej zredukować niedoszacowanie prawdziwej wartości parametru będące rezultatem obciążenia stosowanego w niej estymatora; właściwości skorygowanej metody w estymacji stopnia zintegrowania szeregów o stosunkowo małej liczbie obserwacji uzyskane na podstawie analizy Monte Carlo. Następnie zaproponowaną metodę zastosowano do weryfikacji hipotezy o występowaniu długiej pamięci w szeregach PKB.
EN
The study presents the results of research on two issues. The first issue is the modification to the Kettani and Gubner (2003) method of assessing the parameter of fractional integration in time series. In addition to the proposed modification, the study also presents the results of the research on the characteristics of fractional integration in the case of series with a small number of observations (100-1 000 observations). The results of the Monte Carlo simulation indicate that the applied modification contributes to a significant improvement in the accuracy of the approximations, especially in the case of series with a number of observations between 100 and 200, which is characteristic of the macroeconomic data. The second issue is related to the verification, by means of the suggested method, of the hypothesis that long memory occurs in the GDP series of different countries. The hypothesis on the absence of the long memory was rejected in 12 cases out of 19 cases of series covering the period 1870-2001, while the remaining 7 cases produced inconclusive results. The results of the research coincide with those reported by Silverberg and Verspagen (1999) achieved with an alternative method of estimation. According to the author, the results of the research do not provide a clear answer to the question whether the GDP series have long memory, in other words, whether long non-periodical cycles occur in them.
Czasopismo
Rocznik
Numer
Strony
4--15
Opis fizyczny
Twórcy
Bibliografia
  • 1. K. Abdair, G. Talmain (2002): Aggregation, persistence and volatility in a macro model. "Review of Economic Studies" 69, s. 749-779.
  • 2. I. Adelman (1956): Long cycles: facts or artefacts? "American Economic Review" nr 55, s. 444-463.
  • 3. M.A. Alexander (2002): Generations and business cycles (I). Safehaven, (publikacja internetowa dostępna pod adresem http: //www.safehaven.com/showarticle.cfin? id=85).
  • 4. R. Baillie (1996): Long memory processes and fractional integration in econometrics. "Journal of Econometrics" nr 73, s. 5-59.
  • 5. A. Banerjee, G. Urga (2005): Modelling structual breaks, long memory and stock market volatility: an overview. "Journal of Econometrics", w druku.
  • 6. J.A. Beran (1994): Statistics for long memory processes. New York, Chapmann and Hall.
  • 7. S. Beveridge, Ch.R. Nelson (1981): A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the "business cycle". "Journal of Monetary Economics" nr 7, s. 151-174.
  • 8. M. J. Chambers (1998): Long memory and aggregation in macroeconomic time series. "International Economic Review" nr 39 (4), s. 1053-1072.
  • 9. L.J. Christiano, M. Eichenbaum (1990): Unit roots in real GNP: do we know and do we care? Carnegie-Rochester Conference Series on Public Policy nr 32, s. 7-61.
  • 10. F.X. Diebold, G.D. Rudebusch (1989): Long memory and persistence in aggregate output. "Journal of Monetary Economics" nr 24, s. 189-209.
  • 11. F.X. Diebold, A. Senhadji (1996): Deterministic vs. Stochastic Trend in U. S. GNP, Yet Again. NBER Working Papers nr 5481.
  • 12. A. Dixit, J.E. Stiglitz (1977): Monopolistic competition and optimum product diversity. "American Economic Review" nr 86, s. 1291-1298.
  • 13. P. Doughan, G. Oppenheim, M. Taqqu (2002): Theory and applications of long-range dependence. London. Bir-khauser.
  • 14. J. Geweke, S. Porter-Hudak (1983): The estimation and application of Song memory time series models. .Journal of Time Series Analysis" nr 4, s. 221-238.
  • 15. C.W.J. Granger. R. Joyeux (1980): An introduction to long memory time series models and fractional differencing. "Journal of Time Series Analysis", s. 15-39.
  • 16. C.W.J. Granger (1980): Long memory relationships and the aggregation of dynamic models. .Journal of Econometrics" nr 14, s. 227-238.
  • 17. C.W. J. Granger (1988): Aggregation of time series variables - a survey. Federal Reserve Bank of Mineapolis Institute for Empirical Macroeconomics, Discussion Paper nr 1.
  • 18. L.A. Gil-Alana (2004): A fractionally integrated model for the Spanish real GDP. "Economics Bulletin" nr 3 (8), s. 1-6.
  • 19. L.A. Gil-Alana, P.M. Robinson (1997); Testing of unit roots and other nonstationary hypotheses in macroeconomic time series. Journal of Econometrics" nr 80, s. 241-268.
  • 20. J.D. Hamilton (1994): Time series analysis. Princeton Univeristy Press, Princeton.
  • 21. J.G. Haubrich. A.W. Lo (1989): The sources and nature of long-term memory in the business cycle. NBER Working Paper nr 2951.
  • 22. J.G. Haubrich, A.W. Lo (2001): The sources and nature of long-term memory in aggregate output. Federal Reserve Bank of Cleveland "Economic Review" Q II, s. 15-30.
  • 23. M.A. Hauser (1998): Maximum likelihood estimators for ARMA and ARFIMA models; a Monte Carlo study. Vienna. University of Economics and Business Administration, Department of Statistics, Working Paper.
  • 24. J.R.M. Hosking (1981): Fractional differencing. "Biometrika" nr 68. s. 165-176.
  • 25. H.E. Hurst (1951): Long-term storage capacity of reservoirs. "Transactions of the American Society of Civil Engineers" nr 116, s. 770-799.
  • 26. H.E. Hurst (1956): Methods of using long term storage in reservoirs. "Proceedings of the Institute of Civil Engineers" nr 1, s. 519-543.
  • 27. H. Kettani, J, Gubner (2003): Estimation of the long-range dependence parameter of fractional ARIMA processes. Proceedings of the 28th Annual IEEE Conference on Local Computer Networks, Bonn, Germany.
  • 28. A. Maddison (1995): Monitoring the world economy. Paris, OECD Development Centre.
  • 29. A. Maddison (2002): The world economy - the millennial perspective. Paris, OECD Development Centre.
  • 30. B. Mandelbrot, J. Wallis (1969): Some long run properties of geophysical records. "Water Resources Research" nr 5,s. 321-340.
  • 31. A.I. McLeod, K.W. Hipel (1978): Preservation of the rescaled adjusted range. W: A reassessment of the Hurst phenomenon. "Water Resources Research1' nr 14, s. 491-508.
  • 32. C. Michelacci (2004): Cross-sectional heterogeneity and the persistence of aggregate fluctuations. "CEPR Discussion Papers" nr 4302.
  • 33. W.C. Mitchell (1927): Business cycles: the problem and its setting. "NBER Studies in Business Cycles" nr 1, New York, NBER.
  • 34. Ch. Murray, Ch. Nelson (1998): The uncertain trend in U. S. GDP. "Discussion Papers in Economics at the University of Washington" nr 0074.
  • 35. Ch.R. Nelson, Ch.I. Plosser (1982): Trends and random walks in macroeconomic time series: some evidence and implications. "Journal of Monetary Economics" nr 10/2, s. 139-62.
  • 36. W.R. Parke (1999): What is fractional integration? Chapel Hill, Department of Economics University of North Carolina, Working Paper nr 99-01.
  • 37. P. Perron, P.C.B. Phillips (1987): Does GNP have a unit root? "Economics Letters" nr 23, s. 139-145.
  • 38. E. Peters (1997): Teorio chaosu a rynki kapitałowe. Warszawa Wig-Press.
  • 39. D. Quah (1987): What do we learn from unit roots in macroeconomic time series? "NBER Working Paper" nr 2450.
  • 40. G.D. Rudebusch (1993): The Uncertain Unit Root in Real GNP. "American Economic Review" nr 83 (1), s. 264-72.
  • 41. J.J. Seater (1993): World temperature-trend uncertainties and their implications for economic policy. "Journal of Business and Economic Statistics" nr 11, s. 265-277.
  • 42. G. Silverberg, D. Lehnert (1996): Evolutionary chaos: growth fluctuations in a Schumpeterian model of creative destruction. W: W. A. Barnett, A. Kirman. M. Salmon (red.): Nonlinear dynamics in economics. Cambridge University Press, Cambridge.
  • 43. G, Silverberg, B. Verspagen (1995): An evolutionary model of long term cyclical variations of catching up and falling behind. "Journal of Evolutionary Economics" nr 5 (3), s. 209-227.
  • 44. G. Silverberg, B. Verspagen (1999): Long memory in time series of economic growth and convergence. Eindhoven Centre for Innovation Studies, Eindhoven University of Technology, "EC1S Working Papers" nr 99.8.
  • 45. F. Sowell (1992): Modeling long-run behavior with the fractional ARIMA model. "Journal of Monetary Economics" nr 29 (2), s. 277-302.
  • 46. J. Stock, M. Watson (1986): Does CNP have a unit root? "Economics Letters" nr 22 (2/3), s. 147-51.
  • 47. V. Teverovsky, M. S. Taqqu. W. Willinger (1998): A critical look at Lo's modified R/S statistic. "Journal of Statistical Planning and Inference" nr 80, s. 211-227.
  • 48. P. Whittle (1951): Hypothesis testing in time series analysis. Uppsala, Almquist and Wiksells.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000000126889

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.