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VAR Forecasting Models of the Australian Economy:A Preliminary Analysis

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Author Info
Robert Trevor
Susan Thorp

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Abstract

Vector autoregressions (VARs) have been proposed as good forecasting models of macroeconomic variables. This paper presents three naïve VAR models of the Australian economy estimated on quarterly data for fifteen variables to 1985(4). Their performance in 'forecasting' the calendar and financial year outcomes for 1986-87 (on and ex-ante basis) is compared with that of three sets of private sector forecasts, the 1986-87 Budget forecasts and the actual outcomes from the same period. In general, the VAR forecasts perform at least as well or better than comparable private sector forecasts. Each VAR model is estimated using a different method for allowing for trends in the data. The detrending procedure is an important determinant of the quality of forecasts, with the best forecasts produced by the two models which employ detrending processes appropriate for data which follow a random walk.

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Paper provided by Reserve Bank of Australia in its series RBA Research Discussion Papers with number rdp8802.

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Handle: RePEc:rba:rbardp:rdp8802

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  1. Peter C.B. Phillips, 1995. "Automated Forecasts of Asia-Pacific Economic Activity," Cowles Foundation Discussion Papers 1103, Cowles Foundation, Yale University. [Downloadable!]
  2. Ellis W Tallman & Naveen Chandra, 1996. "The Information Content of Financial Aggregates in Australia," RBA Research Discussion Papers rdp9606, Reserve Bank of Australia. [Downloadable!]
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This page was last updated on 2009-12-2.


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