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Forecasting in the Presence of Structural Breaks and Policy Regime Shifts

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Author Info
David Hendry () (Nuffield College, Oxford University)
Grayham E. Mizon (Economics Department, Southampton University)

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Abstract

The value of selecting the best forecasting model as the basis for empirical economic policy analysis is questioned. When no model coincides with the data generation process, non-causal statistical devices may provide the best available forecasts: examples from recent work include intercept corrections and differenced-data VARs. However, the resulting models need have no policy implications. A 'paradox' may result if their forecasts induce policy changes which can be used to improve the statistical forecast. This suggests correcting statistical forecasts by using the econometric model's estimate of the 'scenario' change, and doing so yields reduced biases.

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Publisher Info
Paper provided by Economics Group, Nuffield College, University of Oxford in its series Economics Papers with number 2002-W12.

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Length: 20 pages
Date of creation: 11 Sep 2001
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Handle: RePEc:nuf:econwp:0212

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Web page: http://www.nuff.ox.ac.uk/economics/

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  1. Bontemps, C. & Mizon, G.E., 2001. "Congruence and Encompassing," Discussion Paper Series In Economics And Econometrics 0107, Economics Division, School of Social Sciences, University of Southampton.
  2. David F. Hendry & Neil R. Ericsson, 1990. "Modeling the demand for narrow money in the United Kingdom and the United States," International Finance Discussion Papers 383, Board of Governors of the Federal Reserve System (U.S.).
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  3. Christopher A. Sims, 1986. "Are forecasting models usable for policy analysis?," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Win, pages 2-16. [Downloadable!]
  4. Hendry, D.F. & Mizon, G.E., 1990. "Evaluating Dynamic Econometric Models By Encompassing The Var," Economics Series Working Papers 99102, University of Oxford, Department of Economics.
  5. Hendry, David F., 2000. "On detectable and non-detectable structural change," Structural Change and Economic Dynamics, Elsevier, vol. 11(1-2), pages 45-65, July. [Downloadable!] (restricted)
  6. Hendry, D.F. & Mizon, G.E., 1999. "On Selecting Policy Analysis Models by Forecast Accuracy," Discussion Paper Series In Economics And Econometrics 9918, Economics Division, School of Social Sciences, University of Southampton.
  7. Hendry, David F & Doornik, Jurgen A, 1997. "The Implications for Econometric Modelling of Forecast Failure," Scottish Journal of Political Economy, Scottish Economic Society, vol. 44(4), pages 437-61, September. [Downloadable!] (restricted)
  8. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January. [Downloadable!] (restricted)
  9. Doornik, Jurgen A & Hendry, David F & Nielsen, Bent, 1998. " Inference in Cointegrating Models: UK M1 Revisited," Journal of Economic Surveys, Blackwell Publishing, vol. 12(5), pages 533-72, December. [Downloadable!] (restricted)
  10. Clements, Michael P & Hendry, David F, 1996. "Intercept Corrections and Structural Change," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 475-94, Sept.-Oct. [Downloadable!] (restricted)
  11. Granger, Clive W. J. & Deutsch, Melinda, 1992. "Comments on the evaluation of policy models," Journal of Policy Modeling, Elsevier, vol. 14(4), pages 497-516, August. [Downloadable!] (restricted)
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  12. Stock, James H & Watson, Mark W, 1996. "Evidence on Structural Instability in Macroeconomic Time Series Relations," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 11-30, January.
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  13. Banerjee, A & Hendry, D-F & Mizon, G-E, 1996. "The Econometric Analysis of Economic Policy," Economics Working Papers eco96/34, European University Institute.
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