Explaining Cointegration Analysis: Part II
AbstractWe describe the concept of cointegration, its implications in modelling and forecasting, and discuss inference procedures appropriate in integrated-cointegrated vector autoregressive processes (VARs). Particular attention is paid to the properties of VARs, to the modelling of deterministic terms, and to the determination of the number of cointegration vectors. The analysis is illustrated by empirical examples.
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Bibliographic InfoPaper provided by University of Copenhagen. Department of Economics in its series Discussion Papers with number 00-20.
Length: 33 pages
Date of creation: Dec 2000
Date of revision:
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VAR; Deterministic Components; Rank Determination; Gasoline Prices;
Other versions of this item:
- David F. Hendry & Katarina Juselius, 2001. "Explaining Cointegration Analysis: Part II," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 75-120.
- David F. Hendry & Katarina Juselius, 2000. "Explaining Cointegration Analysis: Part 1," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 1-42.
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
This paper has been announced in the following NEP Reports:
- NEP-ALL-2001-10-29 (All new papers)
- NEP-ECM-2001-10-29 (Econometrics)
- NEP-ETS-2001-10-29 (Econometric Time Series)
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