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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. Erwin Diewert & Denis Lawrence, 1999. "Measuring New Zealand’s Productivity," Treasury Working Paper Series 99/05, New Zealand Treasury.
  2. 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.
  3. Douglas Laxton & Peter B. Clark & David Rose, 1995. "Asymmetry in the U.S. Output-Inflation Nexus; Issues and Evidence," IMF Working Papers 95/76, International Monetary Fund.
  4. Robert J. Hodrick & Edward Prescott, 1981. "Post-War U.S. Business Cycles: An Empirical Investigation," Discussion Papers 451, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  5. Lippi, Marco & Reichlin, Lucrezia, 1994. "Diffusion of Technical Change and the Decomposition of Output into Trend and Cycle," Review of Economic Studies, Wiley Blackwell, vol. 61(1), pages 19-30, January.
  6. 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.
  7. Guay, A & St-Amant, P, 1996. "Do Mechanical Filters Provide a Good Approximation of Business Cycles?," Technical Reports 78, Bank of Canada.
  8. 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.
  9. Cogley, Timothy & Nason, James M., 1995. "Effects of the Hodrick-Prescott filter on trend and difference stationary time series Implications for business cycle research," Journal of Economic Dynamics and Control, Elsevier, vol. 19(1-2), pages 253-278.
  10. David T. Coe & C. John McDermott, 1997. "Does the Gap Model Work in Asia?," IMF Staff Papers, Palgrave Macmillan, vol. 44(1), pages 59-80, March.
  11. James G. MacKinnon, 2010. "Critical Values for Cointegration Tests," Working Papers 1227, Queen's University, Department of Economics.
  12. 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.
  13. Robert G. King & Charles I. Plosser & James H. Stock & Mark W. Watson, 1987. "Stochastic Trends and Economic Fluctuations," NBER Working Papers 2229, National Bureau of Economic Research, Inc.
  14. 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.
  15. 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.
  16. David E. Runkle, 1987. "Vector autoregressions and reality," Staff Report 107, Federal Reserve Bank of Minneapolis.
  17. Runkle, David E, 1987. "Vector Autoregressions and Reality," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 437-42, October.
  18. Phillips, Peter C. B., 1998. "Impulse response and forecast error variance asymptotics in nonstationary VARs," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 21-56.
  19. Robert J. Gordon, 1997. "The Time-Varying NAIRU and Its Implications for Economic Policy," Journal of Economic Perspectives, American Economic Association, vol. 11(1), pages 11-32, Winter.
  20. Alain DeSerres & Alain Guay, 1995. "Selection of the Truncation Lag in Structural VARs (or VECMs) with Long-Run Restrictions," Econometrics 9510001, EconWPA.
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