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Estimating potential output for New Zealand: a structural VAR approach

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.

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Paper provided by Reserve Bank of New Zealand in its series Reserve Bank of New Zealand Discussion Paper Series with number DP2000/03.

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Length: 22p
Date of creation: Jul 1999
Date of revision:
Handle: RePEc:nzb:nzbdps:2000/03
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  1. Phillips, P.C.B., 1986. "Testing for a Unit Root in Time Series Regression," Cahiers de recherche 8633, Universite de Montreal, Departement de sciences economiques.
  2. Marianne Baxter & Robert G. King, 1995. "Measuring Business Cycles Approximate Band-Pass Filters for Economic Time Series," NBER Working Papers 5022, National Bureau of Economic Research, Inc.
  3. Robert J. Gordon, 1996. "The Time-Varying NAIRU and its Implications for Economic Policy," NBER Working Papers 5735, National Bureau of Economic Research, Inc.
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  6. Chantal Dupasquier & Alain Guay & Pierre St-Amant, 1997. "A Comparison of Alternative Methodologies for Estimating Potential Output and the Output Gap," Working Papers 97-5, Bank of Canada.
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  9. Runkle, David E, 1987. "Vector Autoregressions and Reality," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 437-42, October.
  10. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
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  12. Guay, A & St-Amant, P, 1996. "Do Mechanical Filters Provide a Good Approximation of Business Cycles?," Technical Reports 78, Bank of Canada.
  13. C. John McDermott & David T. Coe, 1996. "Does the Gap Model Work in Asia?," IMF Working Papers 96/69, International Monetary Fund.
  14. Paul Conway & Ben Hunt, 1997. "Estimating potential output: a semi-structural approach," Reserve Bank of New Zealand Discussion Paper Series G97/9, Reserve Bank of New Zealand.
  15. Lippi, Marco & Reichlin, Lucrezia, 1993. "Diffusion of Technical Change and the Decomposition of Output into Trend and Cycle," CEPR Discussion Papers 775, C.E.P.R. Discussion Papers.
  16. Aaron Drew & Adrian Orr, 1999. "The Reserve Bank's role in the recent business cycle: actions and evolutions," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 62, March.
  17. Timothy Cogley & James M. Nason, 1993. "Effects of the Hodrick-Prescott filter on trend and difference stationary time series: implications for business cycle research," Working Papers in Applied Economic Theory 93-01, Federal Reserve Bank of San Francisco.
  18. Harvey, A C & Jaeger, A, 1993. "Detrending, Stylized Facts and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(3), pages 231-47, July-Sept.
  19. David E. Runkle, 1987. "Vector autoregressions and reality," Staff Report 107, Federal Reserve Bank of Minneapolis.
  20. James G. MacKinnon, 2010. "Critical Values for Cointegration Tests," Working Papers 1227, Queen's University, Department of Economics.
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