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Forecast Failure, Expectations Formation and the Lucas Critique

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  • David F. Hendry

Abstract

Since forecast failure is due to unanticipated location shifts, 'sensible' agents should adopt 'robust forecasting rules'. In such a non-stationary world, causal variables can dominate non-causal in forecasting, so 'rational expectations' do not have a sound basis: agents cannot know how all relevant information enters the data density at every point in time. Although econometric models 'break down' intermittently, that is not due to the Lucas critique and need not preclude policy analyses.

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  • David F. Hendry, 2002. "Forecast Failure, Expectations Formation and the Lucas Critique," Annals of Economics and Statistics, GENES, issue 67-68, pages 21-40.
  • Handle: RePEc:adr:anecst:y:2002:i:67-68:p:21-40
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    1. Neil R. Ericsson & John S. Irons, 1995. "The Lucas critique in practice: theory without measurement," International Finance Discussion Papers 506, Board of Governors of the Federal Reserve System (U.S.).
    2. 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.
    3. Michael P. Clements & David F. Hendry, 1999. "On winning forecasting competitions in economics," Spanish Economic Review, Springer;Spanish Economic Association, vol. 1(2), pages 123-160.
    4. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    5. Hendry, David F, 1980. "Econometrics-Alchemy or Science?," Economica, London School of Economics and Political Science, vol. 47(188), pages 387-406, November.
    6. Clements,Michael & Hendry,David, 1998. "Forecasting Economic Time Series," Cambridge Books, Cambridge University Press, number 9780521632423.
    7. Clements, M.P. & Hendry, D., 1992. "On the Limitations of Comparing Mean Square Forecast Errors," Economics Series Working Papers 99138, University of Oxford, Department of Economics.
    8. Brunner, Karl & Meltzer, Allan H., 1976. "The Phillips curve," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 1-18, January.
    9. Davidson, James E H, et al, 1978. "Econometric Modelling of the Aggregate Time-Series Relationship between Consumers' Expenditure and Income in the United Kingdom," Economic Journal, Royal Economic Society, vol. 88(352), pages 661-692, December.
    10. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    11. 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.
    12. Calzolari, Giorgio, 1981. "A Note on the Variance of Ex-Post Forecasts in Econometric Models," Econometrica, Econometric Society, vol. 49(6), pages 1593-1595, November.
    13. Wallis, Kenneth F, 1993. "Comparing Macroeconometric Models: A Review Article," Economica, London School of Economics and Political Science, vol. 60(238), pages 225-237, May.
    14. Hendry, David F., 1995. "Dynamic Econometrics," OUP Catalogue, Oxford University Press, number 9780198283164.
    15. Clements, Michael P & Hendry, David F, 1996. "Intercept Corrections and Structural Change," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 475-494, Sept.-Oct.
    16. Fildes, Robert, 1992. "The evaluation of extrapolative forecasting methods," International Journal of Forecasting, Elsevier, vol. 8(1), pages 81-98, June.
    17. Michael P. Clements & David F. Hendry, 2001. "Forecasting Non-Stationary Economic Time Series," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262531895, December.
    18. David Hendry, 2000. "A General Forecast-error Taxonomy," Econometric Society World Congress 2000 Contributed Papers 0608, Econometric Society.
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    Cited by:

    1. Karimova, Amira & Simsek, Esra & Orhan, Mehmet, 2020. "Policy implications of the Lucas Critique empirically tested along the global financial crisis," Journal of Policy Modeling, Elsevier, vol. 42(1), pages 153-172.
    2. Neil R. Ericsson, 2000. "Predictable uncertainty in economic forecasting," International Finance Discussion Papers 695, Board of Governors of the Federal Reserve System (U.S.).
    3. Angel Asensio, 2013. "Teaching Keynes’s theory to neoclassically formed minds," Chapters, in: Jesper Jespersen & Mogens Ove Madsen (ed.), Teaching Post Keynesian Economics, chapter 10, pages 163-186, Edward Elgar Publishing.
    4. Olson, Eric & Wohar, Mark E., 2016. "An evaluation of ECB policy in the Euro's big four," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 203-213.
    5. Hendry, David F. & Mizon, Grayham E., 2001. "Reformulating empirical macro-econometric modelling," Discussion Paper Series In Economics And Econometrics 104, Economics Division, School of Social Sciences, University of Southampton.
    6. Destefanis, Sergio & Fragetta, Matteo & Gasteiger, Emanuel, 2021. "Does one size fit all in the Euro Area? Some counterfactual evidence," ECON WPS - Working Papers in Economic Theory and Policy 05/2019, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit, revised 2021.
    7. Angel Asensio, 2008. "The growing evidence of Keynes's methodology advantage and its consequences within the four macro-markets framework," Post-Print halshs-00189221, HAL.
    8. Angel Asensio, 2012. "On Keynes’s Seminal Innovation and Related Essential Features: Revisiting the Notion of Equilibrium in The General Theory," Chapters, in: Thomas Cate (ed.), Keynes’s General Theory, chapter 1, Edward Elgar Publishing.
    9. Ajit Karnik & Cedwyn Fernandes, 2009. "Natural resource dependence: a macroeconometric model for the United Arab Emirates," Applied Economics, Taylor & Francis Journals, vol. 41(9), pages 1157-1174.

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