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On trend robustness and end-point issues for New Zealand’s stylised business cycle facts

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  • Hall, Viv
  • Thomson, Peter
  • McKelvie, Stuart

Abstract

We present new empirical evidence on trend robustness and end-point issues, utilising the macroeconomic data set investigated in McKelvie and Hall (2012). We consider the relative merits of non-robust Hodrick-Prescott (HP) and robust loess (LOcal regrESSion) trend filtering methods, and assess the sensitivity of HP1600 stylised facts to (i) the considerable “supply shock” deviations from trend associated with New Zealand’s 1992 power crisis, and (ii) an alternative HP100 specification and the loess approach. On end-point issues, we assess value-added from the use of seven-point triangular moving average and HP1600 filters, relative to insights from a 21-quarter uniform moving average filter.

Suggested Citation

  • Hall, Viv & Thomson, Peter & McKelvie, Stuart, 2015. "On trend robustness and end-point issues for New Zealand’s stylised business cycle facts," Working Paper Series 18867, Victoria University of Wellington, School of Economics and Finance.
    • Handle: RePEc:vuw:vuwecf:18867
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    References listed on IDEAS

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    5. VIV. B. HALL & C. JOHN McDERMOTT, 2011. "Unobserved Components Business Cycles for New Zealand. What Are They, and What Might Drive Them?," The Economic Record, The Economic Society of Australia, vol. 87(277), pages 294-317, June.
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    9. Viv Hall & John McDermott, 2008. "An Unobserved Components Common Cycle For Australia? Implications For A Common Currency," CAMA Working Papers 2008-11, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    10. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    11. Magrini Stefano & Gerolimetto Margherita & Duran Hasan Engin, 2013. "Business cycle dynamics across the US states," The B.E. Journal of Macroeconomics, De Gruyter, vol. 13(1), pages 1-28, April.
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