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Estimating potential output for New Zealand: a structural VAR approach

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Abstract

One of the main indicators of inflationary pressures used by the Reserve Bank of New Zealand is the output gap. A measure of potential output is obtained using a structural vector autoregression (SVAR) methodology. The assumption that movements in output are the result of cyclical shocks arising from demand-side developments, and productivity shocks arising from supply-side developments provides a set of identifying restrictions. Prior to the reforms, the New Zealand economy was in excess demand with a more prolonged and deeper recession in the early 1990s than alternative methods suggest. Evidence is provided that consumption increases in anticipation of higher future earnings.

Suggested Citation

  • Iris Claus, 1999. "Estimating potential output for New Zealand: a structural VAR approach," Reserve Bank of New Zealand Discussion Paper Series DP2000/03, Reserve Bank of New Zealand.
    • Handle: RePEc:nzb:nzbdps:2000/03
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    Cited by:

    1. Tania Karamisheva, 2021. "Measuring the Business Cycle in Bulgaria," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 17-38.
    2. Michał Brzoza-Brzezina, 2002. "Estimating the Natural Rate of Interest: A SVAR Approach," NBP Working Papers 27, Narodowy Bank Polski.
    3. Carlos Hamilton Vasconcelos Araujo & Osmani Teixeira de Carvalho Guillén, 2008. "Previsão de inflação com incerteza do hiato do produto no Brasil," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807211138520, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    4. Carlos Hamilton Vasconcelos Araujo & Marta Baltar Moreira Areosa & Osmani Teixera de Carvalho Guillén, 2004. "Estimating Potential Output And The Output Gap For Brazil," Anais do XXXII Encontro Nacional de Economia [Proceedings of the 32nd Brazilian Economics Meeting] 041, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    5. Acevedo Rueda, Rafael Alexis & Mora Mora, José U. & Harmath Fernández, Pedro Alexander, 2012. "La brecha del producto y el producto potencial en Venezuela: una estimación SVAR [Output Gap and Potential GDP in Venezuela: A SVAR Estimation]," MPRA Paper 58691, University Library of Munich, Germany, revised 2013.
    6. Michal Andrle, 2013. "What Is in Your Output Gap? Unified Framework & Decomposition into Observables," IMF Working Papers 2013/105, International Monetary Fund.
    7. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2007. "A Multivariate Long-Memory Model with Structural Breaks," CESifo Working Paper Series 1950, CESifo.
    8. Ahsan ul Haq Satti & Wasim Shahid Malik, 2017. "The Unreliability of Output-Gap Estimates in Real Time," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 56(3), pages 193-219.
    9. Michał Brzoza‐Brzezina, 2006. "The information content of the neutral rate of interest," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 14(2), pages 391-412, April.

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    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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