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A Quarterly Post-World War II Real GDP Series for New Zealand

  • Viv Hall

    ()

    (Victoria University of Wellington)

  • John McDermott

    ()

    (Reserve Bank of New Zealand)

There are no official quarterly real GDP estimates for New Zealand for the period prior to 1977. We develop a seasonally adjusted series for 1947q2 to 2006q2, by linking quarterly observations from two recent official series to temporally disaggregated observations for an earlier time period. Annual real GDP series are disaggregated, using the information from two quarterly diffusion indexes, developed by Haywood and Campbell (1976). Three econometric models are used: the Chow and Lin (1971) model that disaggregates the level of GDP, and the Fernández (1981) and Litterman (1983) models that disaggregate changes in GDP. Statistical properties of the series are evaluated, and movements in the new series are benchmarked against qualitative research findings from New Zealand's post-WWII economic history. Our preferred quarterly series is based on results generated from the Chow-Lin model.

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File URL: http://motu-www.motu.org.nz/wpapers/07_13.pdf
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Paper provided by Motu Economic and Public Policy Research in its series Working Papers with number 07_13.

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Length: 31 pages
Date of creation: Oct 2007
Date of revision:
Handle: RePEc:mtu:wpaper:07_13
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Web page: http://www.motu.org.nz
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  1. Robert B. Litterman, 1983. "A random walk, Markov model for the distribution of time series," Staff Report 84, Federal Reserve Bank of Minneapolis.
  2. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-75, November.
  3. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-56, July.
  4. Filippo Moauro & Giovanni Savio, 2005. "Temporal disaggregation using multivariate structural time series models," Econometrics Journal, Royal Economic Society, vol. 8(2), pages 214-234, 07.
  5. Stock, James H. & Watson, Mark W., 1999. "Business cycle fluctuations in us macroeconomic time series," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 1, pages 3-64 Elsevier.
  6. Tommaso Proietti, 2004. "Temporal Disaggregation by State Space Methods: Dynamic Regression Methods Revisited," Econometrics 0411011, EconWPA.
  7. Hall, Viv B. & McDermott, C. John, 2009. "The New Zealand Business Cycle," Econometric Theory, Cambridge University Press, vol. 25(04), pages 1050-1069, August.
  8. Silver, J Lew, 1986. "Two Results Useful for Implementing Litterman's Procedure for Interpolating a Time Series [A Random Walk, Markov Model for the Distribution of Time Series]," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 129-30, January.
  9. Fernandez, Roque B, 1981. "A Methodological Note on the Estimation of Time Series," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 471-76, August.
  10. Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
  11. Hawke, G R, 1975. "Income Estimation from Monetary Data: Further Explorations," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 21(3), pages 301-07, September.
  12. Andrew Harvey & Chia-Hui Chung, 2000. "Estimating the underlying change in unemployment in the UK," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 163(3), pages 303-309.
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