PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2012 | 4 | nr 4 | 253--267
Tytuł artykułu

Bayesian Analysis of Weak Form Polynomial Reduced Rank Structures in VEC Models

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The main goal of the paper is the Bayesian analysis of weak form polynomial serial correlation common features together with cointegration. In the VEC model the serial correlation common feature leads to an additional reduced rank restriction imposed on the model parameters. After the introduction and discussion of the model, the methods will be illustrated with an empirical investigation of the price-wage nexus in the Polish economy. Additionally, consequences of imposing such additional short-run restrictions for permanent-transitory decomposition will be discussed. (original abstract)
Rocznik
Tom
4
Numer
Strony
253--267
Opis fizyczny
Twórcy
  • Cracow University of Economics, Poland
Bibliografia
  • [1] Anderson H.M., Vahid F. (2010), VARs, cointegration and common cycle restrictions, Monash Econometrics and Business Statistics Working Papers no. 14/10.
  • [2] Centoni M., Cubadda G. (2003), Mesuring the business cycle effects of permanent and transitory shocks in cointegrated time series, Economics Letters 80, 45-51.
  • [3] Centoni M., Cubadda G. (2011), Modelling comovements of economic time series: a selective survey, CEIS Tor Vergata, Research Paper Series 9, no. 215.
  • [4] Chikuse Y., (2002), Statistics on special manifolds, Lecture Notes in Statistics, vol. 174, Springer-Verlag, New York.
  • [5] Cubadda G. (2007), A unifying framework for analysing common cyclical features in cointegrated time series, Computational Statistics & Data Analysis 52, 896906.
  • [6] Cubadda G., Hecq A. (2001), On non-contemporaneous short-run co-movements, Economics Letters 73, 389-397.
  • [7] Engle R.F., Kozicki S. (1993), Testing for common features, Journal of Business and Economic Statistics 11, 369-380.
  • [8] Ericsson N.R. (1993), Comment (to the paper Testing for common features by Engle and Kozicki), Journal of Business and Economic Statistics 11, 380-383.
  • [9] Fischer S. (1977), Long-term contracts, rational expectations, and the optimal money supply rule, Journal of Political Economy 85, 191-206.
  • [10] Hecq A., Palm F.C., Urbain J.P. (2006), Common cyclical features analysis in VAR models with cointegration, Journal of Econometrics 132, 117-141.
  • [11] Issler J.V., Vahid F. (2001), Common cycles and the importance of transitory shocks to macroeconomic aggregates, Journal of Monetary Economics 47, 449475.
  • [12] Johansen S. (1996), Likelihood-based Inference in Cointegrated Vector Autoregressive Models, Oxford University Press, second edition.
  • [13] Juselius K. (2007), The Cointegrated VAR Model. Methodology and Applications, Oxford University Press, New York.
  • [14] Koop G., León-González R., Strachan R. (2010), Efficient posterior simulation for cointegrated models with priors on the cointegration space, Econometric Reviews 29, 224-242.
  • [15] Lütkepohl H. (2007), New Introduction to Multiple Time Series Analysis, Springer-Verlag, Berlin-Heidelberg.
  • [16] Taylor J.B. (1980), Aggregate dynamics and staggered contracts, Journal of Political Economy 88, 1-23.
  • [17] Vahid F., Engle R.F. (1993), Common trends and common cycles, Journal of Applied Econometrics 8, 341-360.
  • [18] Vahid F., Engle R.F. (1997), Codependent cycles, Journal of Econometrics 80, 199-221.
  • [19] Villani M. (2006), Bayesian point estimation of the cointegration space, Journal of Econometrics 134, 645-664.
  • [20] Wróblewska J. (2011), Bayesian analysis of weak form reduced rank structure in VEC models, Central European Journal of Economic Modelling and Econometrics 3, 169-186.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.ekon-element-000171231429

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.