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2020 | 12 | nr 4 | 317--345
Tytuł artykułu

Structural Change in the Deterministic and Stochastic Part of VECM. I(1) and I(2) Case

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper analyses the consequences of structural change in the presence of non-stationary stochastic processes I(1) or I(2). The structural change may concern the deterministic structure (in particular, the trend and the constant term) as well as the process generating the stochastic part. The focus of the paper is on the case of a discrete change in a regime for which the moment of switch is known. A change in the deterministic part does not alter the character of the cointegration relationships but its consequences for cotrending and cobreaking are interesting. The consequences of a change in the stochastic part are more complex, because then the stochastic process as well as the deterministic structure of the VECM are modified. The restrictions are analysed for both cases. (original abstract)
Rocznik
Tom
12
Numer
Strony
317--345
Opis fizyczny
Twórcy
  • University of Lodz, Poland
  • University of Lodz, Poland
Bibliografia
  • [1] Beveridge S., Nelson Ch., (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 7(2),151-174.
  • [2] Gosińska E., (2009), Analiza kointegracyjna modelu z zaburzeniami struktury na przykładzie modelu handlu zagranicznego Polski, Bank i Kredyt 40(6), 41-58.
  • [3] Gosińska E., (2015), Modelowanie procesów ekonomicznych generowanych przez niestacjonarne procesy stochastyczne ze zmianą strukturalną, Ph. D. dissertation under supervision of A. Welfe, unpublished manuscript, University of Lodz, Łódź.
  • [4] Granger C. W. J., Terasvirta T., Patton A., (2006), Common factors in conditional distributions for bivariate time series, Journal of Econometrics 132(1), 43-57.
  • [5] Haldrup N., (1999), An Econometric Analysis of I(2) Variables, [in:] Practical Issues in Cointegration Analysis, [eds.:] M. McAleer, L. Oxley, Blackwell Publishers, Oxford.
  • [6] Johansen S., (1988), Statistical Analysis of Cointegration Vectors, Journal of Economic Dynamics and Control 12, 231-254.
  • [7] Johansen S., (1995a), Likelihood-Based Inference in Cointegrated Vector Autoregressive Models, Oxford University Press, Oxford.
  • [8] Johansen S., (1995b), A Statistical Analysis for I(2) Variables, Econometric Theory 11, 25-29.
  • [9] Juselius K., (2006), Cointegrated VAR Model. Methodology and Applications, Oxford University Press, Oxford.
  • [10] Lütkepohl H., (2005), New Introduction to Multiple Time Series Analysis, Springer Verlag.
  • [11] Majsterek M., (2008), Wielowymiarowa analiza kointegracyjna w ekonomii, Wydawnictwo Uniwersytetu Łódzkiego, Łódź.
  • [12] Paruolo P., (1996), On the Determination of Integration Indices in I(2) Systems, Journal of Econometrics 72(1/2), 313-356.
  • [13] Paruolo P., (2000), A Characterization of I(2) VAR(1) Process, Econometric Theory 17, 235-258.
  • [14] Pesaran H., Shin Y., Smith R., (2000), Structural Analysis of Vector Error Correction Models with Exogenous I(1) Variables, Journal of Econometrics 97, 293-343.
  • [15] Saikkonen P., Lütkepohl H., (2000), Testing for the cointegrating rank of a VAR process with structural shifts, Journal of Business and Economic Statistics 18, 451-464.
  • [16] Trenkler C., Saikkonen P., Lütkepohl H., (2008), Testing for the cointegrating rank of a VAR process with level shift and trend break, Journal of Time Series Analysis 29, 331-358.
  • [17] Wróblewska J., (2015), Common Trends and Common Cycles - Bayesian Approach, Central European Journal of Economic Modelling and Econometrics 7(2), 91-110.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.ekon-element-000171608945

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