The importance of common cyclical features in VAR analysis: a Monte-Carlo study
Abstract
Despite the commonly held belief that aggregate data display short-run comovement, there has been little discussion about the econometric consequences of this feature of the data. We use exhaustive Monte-Carlo simulations to investigate the importance of restrictions implied by common-cyclical features for estimates and forecasts based on vector autoregressive models.(This abstract was borrowed from another version of this item.)
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Bibliographic Info
Article provided by Elsevier in its journal Journal of Econometrics.
Volume (Year): 109 (2002)
Issue (Month): 2 (August)
Pages: 341-363
Contact details of provider:
Web page: http://www.elsevier.com/locate/jeconom
Related research
Keywords:Other versions of this item:
- Vahid, Farshid & Issler, João Victor, 2001. "The Importance of Common Cyclical Features in VAR Analysis: A Monte-Carlo Study," Economics Working Papers (Ensaios Economicos da EPGE) 417, Graduate School of Economics, Getulio Vargas Foundation (Brazil).
- Vahid, F. & Issler, J.V., 2001. "The Importance Of Common Cyclical Features in VAR Analysis: A Monte-Carlo Study," Monash Econometrics and Business Statistics Working Papers 2/01, Monash University, Department of Econometrics and Business Statistics.
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
References
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