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An Empirical BVAR-DSGE Model of the Australian Economy

Author

Listed:
  • Sean Langcake

    (Reserve Bank of Australia)

  • Tim Robinson

    (Reserve Bank of Australia)

Abstract

In this paper, we develop a multi-sector dynamic stochastic general equilibrium (DSGE) model with a simple commodity sector and assess whether forecasts from this model can be improved by using it as a prior for an empirical Bayesian vector autoregression (BVAR). We treat the world economy as being observed and exogenous to the small economy, rather than unobserved, as has been done in some previous studies, such as Hodge, Robinson and Stuart (2008) and Lees, Matheson and Smith (2011). We find that the forecasts from a BVAR that uses this DSGE model as a prior are generally more accurate than those from the DSGE model alone. Nevertheless, these forecasts do not outperform a small open economy VAR estimated using other standard priors or simple univariate benchmarks.

Suggested Citation

  • Sean Langcake & Tim Robinson, 2013. "An Empirical BVAR-DSGE Model of the Australian Economy," RBA Research Discussion Papers rdp2013-07, Reserve Bank of Australia.
  • Handle: RePEc:rba:rbardp:rdp2013-07
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    References listed on IDEAS

    as
    1. Lees, Kirdan & Matheson, Troy & Smith, Christie, 2011. "Open economy forecasting with a DSGE-VAR: Head to head with the RBNZ published forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 512-528.
    2. Lubik, Thomas A. & Schorfheide, Frank, 2007. "Do central banks respond to exchange rate movements? A structural investigation," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1069-1087, May.
    3. Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
    4. Hugo Gerard & Kristoffer Nimark, 2008. "Combining Multivariate Density Forecasts Using Predictive Criteria," RBA Research Discussion Papers rdp2008-02, Reserve Bank of Australia.
    5. Justiniano, Alejandro & Preston, Bruce, 2010. "Can structural small open-economy models account for the influence of foreign disturbances?," Journal of International Economics, Elsevier, vol. 81(1), pages 61-74, May.
    6. Tim Robinson, 2013. "Estimating and Identifying Empirical BVAR-DSGE Models for Small Open Economies," RBA Research Discussion Papers rdp2013-06, Reserve Bank of Australia.
    7. Peter Tulip, 2009. "Has the Economy Become More Predictable? Changes in Greenbook Forecast Accuracy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(6), pages 1217-1231, September.
    8. Matteo Iacoviello & Stefano Neri, 2010. "Housing Market Spillovers: Evidence from an Estimated DSGE Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(2), pages 125-164, April.
    9. Geweke, John & Amisano, Gianni, 2011. "Optimal prediction pools," Journal of Econometrics, Elsevier, vol. 164(1), pages 130-141, September.
    10. Marco Del Negro & Frank Schorfheide, 2004. "Priors from General Equilibrium Models for VARS," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(2), pages 643-673, May.
    11. Alejandro Justiniano & Bruce Preston, 2010. "Monetary policy and uncertainty in an empirical small open-economy model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 93-128.
    12. Michael Plumb & Christopher Kent & James Bishop, 2013. "Implications for the Australian Economy of Strong Growth in Asia," RBA Research Discussion Papers rdp2013-03, Reserve Bank of Australia.
    13. Kuttner, Ken & Robinson, Tim, 2010. "Understanding the flattening Phillips curve," The North American Journal of Economics and Finance, Elsevier, vol. 21(2), pages 110-125, August.
    14. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    15. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
    16. Clemen, Robert T., 1989. "Combining forecasts: A review and annotated bibliography," International Journal of Forecasting, Elsevier, vol. 5(4), pages 559-583.
    17. Cagliarini, Adam & Robinson, Tim & Tran, Allen, 2011. "Reconciling microeconomic and macroeconomic estimates of price stickiness," Journal of Macroeconomics, Elsevier, vol. 33(1), pages 102-120, March.
    18. Kadiyala, K Rao & Karlsson, Sune, 1997. "Numerical Methods for Estimation and Inference in Bayesian VAR-Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 99-132, March-Apr.
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    Cited by:

    1. Shuyun May Li & Adam Hal Spencer, 2016. "Effectiveness of the Australian Fiscal Stimulus Package: A DSGE Analysis," The Economic Record, The Economic Society of Australia, vol. 92(296), pages 94-120, March.
    2. Mardi Dungey & Denise Osborn & Mala Raghavan, 2014. "International Transmissions to Australia: The Roles of the USA and Euro Area," The Economic Record, The Economic Society of Australia, vol. 90(291), pages 421-446, December.

    More about this item

    Keywords

    empirical Bayesian VAR; forecasting; small open economy;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical

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