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VARMA versus VAR for Macroeconomic Forecasting Author info | Abstract | Publisher info | Download info | Related research | Statistics George Athanasopoulos ()
Farshid Vahid
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In this paper, we argue that there is no compelling reason for restricting the class of multivariate models considered for macroeconomic forecasting to VARs given the recent advances in VARMA modelling methodology and improvements in computing power. To support this claim, we use real macroeconomic data and show that VARMA models forecast macroeconomic variables more accurately than VAR models.
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Paper provided by Monash University, Department of Econometrics and Business Statistics in its series Monash Econometrics and Business Statistics Working Papers with number
4/06.
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Length: 21 pages
Date of creation: Jan 2006Date of revision:
Handle: RePEc:msh:ebswps:2006-4Contact details of provider: Postal: PO Box 11E, Monash University, Victoria 3800, Australia Phone: +61-3-9905-2489 Fax: +61-3-9905-5474 Email: Web page: http://www.buseco.monash.edu.au/depts/ebs/ More information through EDIRC
Order Information: Email: Web: http://www.buseco.monash.edu.au/depts/ebs/pubs/wpapers/
For technical questions regarding this item, or to correct its listing, contact: (Simone Grose).
Keywords: Forecasting ; Identification ; Multivariate time series ; Scalar components ; VARMA models. ; Other versions of this item:
Find related papers by JEL classification: C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
This paper has been announced in the following NEP Reports :
References listed on IDEAS 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.: George Athanasopoulos & Farshid Vahid, 2006.
"A Complete VARMA Modelling Methodology Based on Scalar Components ,"
Monash Econometrics and Business Statistics Working Papers
2/06, Monash University, Department of Econometrics and Business Statistics.
[Downloadable!]
Other versions: Makridakis, Spyros & Hibon, Michele, 2000.
"The M3-Competition: results, conclusions and implications ,"
International Journal of Forecasting ,
Elsevier, vol. 16(4), pages 451-476.
[Downloadable!] (restricted)
Sims, Christopher A, 1980.
"Macroeconomics and Reality ,"
Econometrica ,
Econometric Society, vol. 48(1), pages 1-48, January.
[Downloadable!] (restricted)
Clements, M.P. & Hendry, D., 1992.
"On the Limitations of Comparing Mean Square Forecast Errors ,"
Economics Series Working Papers
99138, University of Oxford, Department of Economics.
Full
references Cited by : (explanations , 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.)
Neri, Marcelo Cortes & Soares, Wagner Lopes, 2008.
"Turismo sustentável e alivio a pobreza: avaliação de impacto ,"
Economics Working Papers (Ensaios Economicos da EPGE)
689, Graduate School of Economics, Getulio Vargas Foundation (Brazil).
[Downloadable!]
George Athanasopoulos & Farshid Vahid, 2006.
"A Complete VARMA Modelling Methodology Based on Scalar Components ,"
Monash Econometrics and Business Statistics Working Papers
2/06, Monash University, Department of Econometrics and Business Statistics.
[Downloadable!]
Other versions: George Athanasopoulos & D.S. Poskitt & Farshid Vahid, 2007.
"Two canonical VARMA forms: Scalar component models vis-à-vis the Echelon form ,"
Monash Econometrics and Business Statistics Working Papers
10/07, Monash University, Department of Econometrics and Business Statistics, revised May 2009.
[Downloadable!]
George Athanasopoulos & Osmani T. de C. Guillén & João V. Issler & Farshid Vahid, 2009.
"Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions ,"
Monash Econometrics and Business Statistics Working Papers
2/09, Monash University, Department of Econometrics and Business Statistics.
[Downloadable!]
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