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An Alternative Solution to the Autoregressivity Paradox in Time Series Analysis

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This note concerns with the marginal models associated with a given vector autoregressive model. In particular, it is shown that a reduction in the orders of the univariate ARMA marginal models can be determined by the presence of variables integrated with different orders. The concepts and methods of the paper are illustrated via an empirical investigation of the low-frequency properties of hours worked in the US.

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Bibliographic Info

Paper provided by Tor Vergata University, CEIS in its series CEIS Research Paper with number 184.

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Length: 9 pages
Date of creation: 24 Jan 2011
Date of revision: 24 Jan 2011
Handle: RePEc:rtv:ceisrp:184

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Postal: CEIS - Centre for Economic and International Studies - Faculty of Economics - University of Rome "Tor Vergata" - Via Columbia, 2 00133 Roma
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Postal: CEIS - Centre for Economic and International Studies - Faculty of Economics - University of Rome "Tor Vergata" - Via Columbia, 2 00133 Roma
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Web: http://www.ceistorvergata.it

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Keywords: VAR Models; ARIMA Models; Final Equations;

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  1. Vincenzo Atella & Marco Centoni & Gianluca Cubadda, 2007. "Technology shocks, structural breaks and the effects on the business cycle," CEIS Research Paper 105, Tor Vergata University, CEIS.
  2. Robert G. King & Charles I. Plosser & James H. Stock & Mark W. Watson, 1991. "Stochastic trends and economic fluctuations," Working Paper Series, Macroeconomic Issues 91-4, Federal Reserve Bank of Chicago.
  3. PALM, Franz, . "On univariate time series methods and simultaneous equation econometric models," CORE Discussion Papers RP -293, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  4. Maravall, Agustin & Mathis, Alexandre, 1994. "Encompassing univariate models in multivariate time series : A case study," Journal of Econometrics, Elsevier, vol. 61(2), pages 197-233, April.
  5. Cubadda, Gianluca & Hecq, Alain & Palm, Franz C., 2007. "Macro-panels and Reality," Research Memorandum 009, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
  6. Rose, Andrew K., 1986. "Four paradoxes in GNP," Economics Letters, Elsevier, vol. 22(2-3), pages 137-141.
  7. ZELLNER, Arnold & PALM, Franz, . "Time series analysis and simultaneous equation econometric models," CORE Discussion Papers RP -173, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  8. Wallis, Kenneth F, 1977. "Multiple Time Series Analysis and the Final Form of Econometric Models," Econometrica, Econometric Society, vol. 45(6), pages 1481-97, September.
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