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Stylised facts from output gap measures

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This paper compares three models of the output gap in New Zealand - the Reserve Bank of New Zealand's incumbent MV filter, estimates from a Structural VAR, and a multivariate unobserved components model - and investigates whether there are features that are consistent across the measures of the gap. Various detrending methods are used for benchmarking the output gap measures, including a linear trend, a fourth difference filter, a band-pass filter, the Hodrick-Prescott filter, an "optimal" procedure, and a nonparametric estimator of permanent trend. The estimates of the gap are examined to see how they compare as to the lengths and amplitudes of cycles, whether they exhibit regular periodicity and regular shapes, whether they are symmetric in phases and severity of swings, and whether they point to the same turning points. The analysis leads to the conclusion that while different filters result in estimates of the output gap with quite different properties, the three models are generally in agreement about the historical profile of the output gap, if not its precise level. Moreover, there are signs that the models are increasingly in agreement about the level of the gap, indicating that the growth cycle is becoming more regular in the 1990s.

Suggested Citation

  • Alasdair Scott, 2000. "Stylised facts from output gap measures," Reserve Bank of New Zealand Discussion Paper Series DP2000/07, Reserve Bank of New Zealand.
  • Handle: RePEc:nzb:nzbdps:2000/07
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    Cited by:

    1. Mateusz Machaj, 2016. "Can the Taylor Rule be a Good Guidance for Policy? The Case of 2001-2008 Real Estate Bubble," Prague Economic Papers, University of Economics, Prague, vol. 2016(4), pages 381-395.
    2. Cécile Denis & Daniel Grenouilleau & Kieran Mc Morrow & Werner Röger, 2006. "Calculating potential growth rates and output gaps - A revised production function approach," European Economy - Economic Papers 2008 - 2015 247, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    3. Miroslav Plašil, 2011. "Potenciální produkt, mezera výstupu a míra nejistoty spojená s jejich určením při použití Hodrick-Prescottova filtru
      [Potential Product, Output Gap and Uncertainty Rate Associated with Their Determ
      ," Politická ekonomie, University of Economics, Prague, vol. 2011(4), pages 490-507.
    4. Hilde Bjørnland & Leif Brubakk & Anne Jore, 2008. "Forecasting inflation with an uncertain output gap," Empirical Economics, Springer, vol. 35(3), pages 413-436, November.
    5. Harding, Don & Pagan, Adrian, 2001. "Extracting, Using and Analysing Cyclical Information," MPRA Paper 15, University Library of Munich, Germany.
    6. David E. Giles & Chad N. Stroomer, 2004. "Identifying the Cycle of a Macroeconomic Time-Series Using Fuzzy Filtering," Econometrics Working Papers 0406, Department of Economics, University of Victoria.
    7. Odile Chagny & Jörg Döpke, 2001. "Measures of the Output Gap in the Euro-Zone: An Empirical Assessment of Selected Methods," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 70(3), pages 310-332.
    8. Cécile Denis & Kieran Mc Morrow & Werner Röger, 2002. "Production function approach to calculating potential growth and output gaps - estimates for the EU Member States and the US," European Economy - Economic Papers 2008 - 2015 176, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    9. Paul Cashin, 2004. "Caribbean Business Cycles," IMF Working Papers 04/136, International Monetary Fund.
    10. Sergey Sinelnikov-Murylev & Sergey Drobyshevsky & Maria Kazakova & Michael Alexeev, 2016. "Decomposition of Russia's GDP Growth Rates," Research Paper Series, Gaidar Institute for Economic Policy, issue 167P, pages 123-123.
    11. repec:pid:journl:v:56:y:2017:i:3:p:193-219 is not listed on IDEAS
    12. Emilian Dobrescu, 2009. "Estimating the Total Factor Productivity in Romanian Economy," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 11(26), pages 512-521, June.
    13. Döpke, Jörg, 2004. "Real-time data and business cycle analysis in Germany," Discussion Paper Series 1: Economic Studies 2004,11, Deutsche Bundesbank.

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    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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