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A State-space Approach to Australian GDP Measurement

Author

Listed:
  • Daniel Rees

    (Reserve Bank of Australia)

  • David Lancaster

    (Reserve Bank of Australia)

  • Richard Finlay

    (Reserve Bank of Australia)

Abstract

We use state-space methods to construct new estimates of Australian gross domestic product (GDP) growth from the published national accounts estimates of expenditure, income and production. Across a range of specifications, our measures are substantially less volatile than headline GDP growth. We conclude that much of the quarter-to-quarter volatility in Australian GDP growth reflects measurement error rather than true shifts in the level of economic activity.

Suggested Citation

  • Daniel Rees & David Lancaster & Richard Finlay, 2014. "A State-space Approach to Australian GDP Measurement," RBA Research Discussion Papers rdp2014-12, Reserve Bank of Australia.
    • Handle: RePEc:rba:rbardp:rdp2014-12
    as

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    File URL: https://www.rba.gov.au/publications/rdp/2014/pdf/rdp2014-12.pdf
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    References listed on IDEAS

    as
    1. Ivana Komunjer & Serena Ng, 2011. "Dynamic Identification of Dynamic Stochastic General Equilibrium Models," Econometrica, Econometric Society, vol. 79(6), pages 1995-2032, November.
    2. James Bishop & Troy Gill & David Lancaster, 2013. "GDP Revisions: Measurement and Implications," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 11-22, March.
    3. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    4. Dennis Fixler & Bruce Grimm, 2006. "GDP Estimates: Rationality Tests and Turning Point Performance," Journal of Productivity Analysis, Springer, vol. 25(3), pages 213-229, June.
    5. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    6. Aruoba, S. Borağan & Diebold, Francis X. & Nalewaik, Jeremy & Schorfheide, Frank & Song, Dongho, 2016. "Improving GDP measurement: A measurement-error perspective," Journal of Econometrics, Elsevier, vol. 191(2), pages 384-397.
    7. S. J. Koopman & J. Durbin, 2003. "Filtering and smoothing of state vector for diffuse state‐space models," Journal of Time Series Analysis, Wiley Blackwell, vol. 24(1), pages 85-98, January.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Daniel M. Rees & Penelope Smith & Jamie Hall, 2016. "A Multi-sector Model of the Australian Economy," The Economic Record, The Economic Society of Australia, vol. 92(298), pages 374-408, September.

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    More about this item

    Keywords

    national income and product account; business cycle;

    JEL classification:

    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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