Comparison of Model Reduction Methods for VAR Processes
AbstractThe objective of this study is to compare alternative computerized model-selection strategies in the context of the vector autoregressive (VAR) modeling framework. The focus is on a comparison of subset modeling strategies with the general-to-specific reduction approach automated by PcGets. Different measures of the possible gains of model selection are considered: (i) the chances of finding the correct model, that is, a model which contains all necessary right-hand side variables and is as parsimonious as possible, (ii) the accuracy of the implied impulse-responses and (iii) the forecast performance of the models obtained with different specification algorithms. In the Monte Carlo experiments, the procedures recover the DGP specification from a large VAR with anticipated size and power close to commencing from the DGP itself when evaluated at the empirical size. We find that subset strategies and PcGets are close competitors in many respects, with the forecast comparison indicating a clear advantage of the PcGets algorithm. --
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Bibliographic InfoPaper provided by European University Institute in its series Economics Working Papers with number ECO2002/19.
Date of creation: 2002
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Other versions of this item:
- Ralf Brüggemann & Hans-Martin Krolzig & Helmut Lütkepohl, 2003. "Comparison of Model Reduction Methods for VAR Processes," Economics Papers 2003-W13, Economics Group, Nuffield College, University of Oxford.
- Brüggemann, Ralf & Krolzig, Hans-Martin & Lütkepohl, Helmut, 2002. "Comparison of model reduction methods for VAR processes," SFB 373 Discussion Papers 2002,80, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- 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
This paper has been announced in the following NEP Reports:
- NEP-ALL-2003-03-03 (All new papers)
- NEP-ECM-2003-03-11 (Econometrics)
- NEP-ETS-2003-03-03 (Econometric Time Series)
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