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Progress from forecast failure -- the Norwegian consumption function

Author

Listed:
  • Øyvind Eitrheim

    (Research Department, Norges Bank (The Central Bank of Norway), Norway)

  • Eilev S. Jansen

    (Research Department, Norges Bank (The Central Bank of Norway), Norway and Norwegian University of Science and Technology)

  • Ragnar Nymoen

    (Economics Department, University of Oslo, Norway and Research Department, Norges Bank (The Central Bank of Norway))

Abstract

After a forecast failure, a respecification is usually necessary to account for the data "ex post", in which case there is a gain in knowledge as a result of the forecast failure. Using Norwegian consumption as an example, we show that the financial deregulation in the mid-1980s led to forecast failure both for consumption functions (CFs) and Euler equations (EEs). We argue in the paper that such forecast failures would appear to be at odds with an underlying DGP belonging to the class of EEs, a result that also explains why progress took the form of a respecified CF where wealth plays a central role. That model is updated and is shown to have constant parameters despite huge changes in the income to wealth ratio over nine years of new data. Copyright Royal Economic Society 2002

Suggested Citation

  • Øyvind Eitrheim & Eilev S. Jansen & Ragnar Nymoen, 2002. "Progress from forecast failure -- the Norwegian consumption function," Econometrics Journal, Royal Economic Society, vol. 5(1), pages 40-64, June.
    • Handle: RePEc:ect:emjrnl:v:5:y:2002:i:1:p:40-64
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    References listed on IDEAS

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    1. Campbell, John Y, 1987. "Does Saving Anticipate Declining Labor Income? An Alternative Test of the Permanent Income Hypothesis," Econometrica, Econometric Society, vol. 55(6), pages 1249-1273, November.
    2. Jansen, Eilev S & Terasvirta, Timo, 1996. "Testing Parameter Constancy and Super Exogeneity in Econometric Equations," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(4), pages 735-763, November.
    3. Hendry, David F, 1995. "Econometrics and Business Cycle Empirics," Economic Journal, Royal Economic Society, vol. 105(433), pages 1622-1636, November.
    4. Berg, Lennart & Bergstrom, Reinhold, 1995. " Housing and Financial Wealth, Financial Deregulation and Consumption--The Swedish Case," Scandinavian Journal of Economics, Wiley Blackwell, vol. 97(3), pages 421-439, September.
    5. Campbell, John Y & Shiller, Robert J, 1987. "Cointegration and Tests of Present Value Models," Journal of Political Economy, University of Chicago Press, vol. 95(5), pages 1062-1088, October.
    6. David F. Hendry & Jurgen A. Doornik, 1997. "The Implications for Econometric Modelling of Forecast Failure," Scottish Journal of Political Economy, Scottish Economic Society, vol. 44(4), pages 437-461, September.
    7. Johansen, Soren, 1992. "Cointegration in partial systems and the efficiency of single-equation analysis," Journal of Econometrics, Elsevier, vol. 52(3), pages 389-402, June.
    8. Berg, Lennart, 1994. "Household Savings and Debts: The Experience of the Nordic Countries," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 10(2), pages 42-53, Summer.
    9. Clements,Michael & Hendry,David, 1998. "Forecasting Economic Time Series," Cambridge Books, Cambridge University Press, number 9780521634809, January.
    10. Haug, Alfred A, 1996. "Blanchard's Model of Consumption: An Empirical Study," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(2), pages 169-177, April.
    11. John Y. Campbell & N. Gregory Mankiw, 1989. "Consumption, Income, and Interest Rates: Reinterpreting the Time Series Evidence," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 185-246, National Bureau of Economic Research, Inc.
    12. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    13. Franses, Philip Hans, 1992. "The Norwegian Consumption Function: A Comment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 455-459, August.
    14. Brunner, Karl & Meltzer, Allan H., 1976. "The Phillips curve," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 1-18, January.
    15. 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.
    16. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    17. Banerjee, Anindya & Hendry, David F, 1992. "Testing Integration and Cointegration: An Overview," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 225-255, August.
    18. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501, Decembrie.
    19. 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 437-461, September.
    20. 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.
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    Cited by:

    1. Engelbert Stockhammer & Erik Bengtsson, 2020. "Financial effects in historic consumption and investment functions," International Review of Applied Economics, Taylor & Francis Journals, vol. 34(3), pages 304-326, May.
    2. Juan Nicolás Hernández A, 2006. "Revisión de los determinantes macroeconómicos del consumo total de los hogares para el caso colombiano," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 24(52), pages 80-109, December.
    3. André Kallåk Anundsen & Ragnar Nymoen, 2015. "Did US Consumers 'Save for a Rainy Day' Before the Great Recession?," CESifo Working Paper Series 5347, CESifo.
    4. Skrove Falch, Nina & Nymoen, Ragnar, 2011. "The accuracy of a forecast targeting central bank," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 5, pages 1-36.
    5. Ragnar Nymoen & Kari Pedersen & Jon Ivar Sjåberg, 2019. "Estimation of Effects of Recent Macroprudential Policies in a Sample of Advanced Open Economies," IJFS, MDPI, vol. 7(2), pages 1-20, May.
    6. Madalina-Gabriela ANGHEL & Aurelian DIACONU, 2016. "Equilibrium and auto regression models used for macroeconomic prognosis," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(7), pages 70-78, July.
    7. Gunnar Bardsen & Eilev Jansen & Ragnar Nymoen, 2002. "Model Specification and Inflation Forecast Uncertainty," Annals of Economics and Statistics, GENES, issue 67-68, pages 495-517.
    8. Ioan PARTACHI & Alexandru MANOLE, 2015. "Some theoretical aspects regarding non-linear econometric models utilized in economic analyses," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 63(9), pages 125-128, September.
    9. Elin Halvorsen, 2003. "Financial Deregulation and Household Saving. The Norwegian Experience Revisited," Discussion Papers 361, Statistics Norway, Research Department.
    10. Solveig Erlandsen & Ragnar Nymoen, 2008. "Consumption and population age structure," Journal of Population Economics, Springer;European Society for Population Economics, vol. 21(3), pages 505-520, July.
    11. Ragnar Nymoen, 2017. "Between Institutions and Global Forces: Norwegian Wage Formation Since Industrialisation," Econometrics, MDPI, vol. 5(1), pages 1-54, January.
    12. Eilev Jansen, 2013. "Wealth effects on consumption in financial crises: the case of Norway," Empirical Economics, Springer, vol. 45(2), pages 873-904, October.
    13. Øyvind Eitrheim & Bjarne Gulbrandsen, 2001. "A model based approach to analysing financial stability," BIS Papers chapters, in: Bank for International Settlements (ed.), Marrying the macro- and micro-prudential dimensions of financial stability, volume 1, pages 311-330, Bank for International Settlements.
    14. Nymoen, Ragnar, 2005. "Evaluating a Central Bank’s Recent Forecast Failure," Memorandum 22/2005, Oslo University, Department of Economics.
    15. Bardsen, Gunnar & Eitrheim, Oyvind & Jansen, Eilev S. & Nymoen, Ragnar, 2005. "The Econometrics of Macroeconomic Modelling," OUP Catalogue, Oxford University Press, number 9780199246502, Decembrie.
    16. Pål Boug & Ådne Cappelen & Eilev S. Jansen & Anders Rygh Swensen, 2021. "The Consumption Euler Equation or the Keynesian Consumption Function?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(1), pages 252-272, February.

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    More about this item

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications

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