Allowing the Data to Speak Freely: The Macroeconometrics of the Cointegrated Vector Autoregression
AbstractAn explication of the key ideas behind the Cointegrated Vector Autoregression Approach. The CVAR approach is related to Haavelmoâs famous âProbability Approach in Econometricsâ (1944). It insists on careful stochastic specification as a necessary groundwork for econometric inference and the testing of economic theories. In time-series data, the probability approach requires careful specification of the integration and cointegration properties of variables in systems of equations. The relationship between the CVAR approach and wider methodological issues and between it and related approaches (e.g., the LSE approach) are explored. The specific-to-general strategy of widening the scope of econometric models to identify stochastic trends and cointegrating relations and to nest theoretical economic models is illustrated with the example of purchasing-power parity
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Bibliographic InfoArticle provided by American Economic Association in its journal American Economic Review.
Volume (Year): 98 (2008)
Issue (Month): 2 (May)
Other versions of this item:
- Kevin D. Hoover & Katarina Juselius & Søren Johansen, 2007. "Allowing the Data to Speak Freely: The Macroeconometrics of the Cointegrated Vector Autoregression," Discussion Papers 07-35, University of Copenhagen. Department of Economics.
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Franchi, Massimo & Jusélius, Katarina, 2007.
"Taking a DSGE Model to the Data Meaningfully,"
Economics - The Open-Access, Open-Assessment E-Journal,
Kiel Institute for the World Economy, vol. 1(4), pages 1-38.
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