IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v30y1998i7p975-983.html
   My bibliography  Save this article

The UK consumption function and structural instability: improving forecasting performance using a time-varying parameter approach

Author

Listed:
  • Haiyan Song
  • Peter Romilly
  • Xiaming Liu

Abstract

Previous studies indicate that the poor forecasting performance of constant parameter UK consumption expenditure models is caused by structural instability in the underlying data generating process. Typically, this instability is removed by reparameterization within the constant parameter framework. An alternative modelling strategy is to allow some, or all, of the parameters to vary over time. A UK non-durable consumption expenditure model with time-varying parameters is developed, based on the permanent income hypothesis of Friedman (1957). This model takes into account temporal changes in the average and marginal propensities to consume. The variation in the parameter estimates is given an economic interpretation in terms of the influence of omitted variables, namely UK financial liberalization and expectational changes. The forecasting performance of this model is superior to that of two widely used constant parameter models. Further tests show that, even if these constant parameter models are respecified as time varying parameter models, the authors' model still retains a superior forecasting performance.

Suggested Citation

  • Haiyan Song & Peter Romilly & Xiaming Liu, 1998. "The UK consumption function and structural instability: improving forecasting performance using a time-varying parameter approach," Applied Economics, Taylor & Francis Journals, vol. 30(7), pages 975-983.
    • Handle: RePEc:taf:applec:v:30:y:1998:i:7:p:975-983
    DOI: 10.1080/000368498325408
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/000368498325408
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/000368498325408?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Robert Fildes, 1989. "Evaluation of Aggregate and Individual Forecast Method Selection Rules," Management Science, INFORMS, vol. 35(9), pages 1056-1065, September.
    2. Song, Haiyan & Liu, Xiaming & Romilly, Peter, 1996. "A Time Varying Parameter Approach to the Chinese Aggregate Consumption Function," Economic Change and Restructuring, Springer, vol. 29(3), pages 185-203.
    3. Drobny, A & Hall, S G, 1989. "An Investigation of the Long-run Properties of Aggregate Non-durable Consumers' Expenditure in the United Kingdom," Economic Journal, Royal Economic Society, vol. 99(396), pages 454-460, June.
    4. 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.
    5. Song, Haiyan & Liu, Xiaming & Romilly, Peter, 1997. "A Comparative Study of Modelling the Demand for Food in the United States and the Netherlands," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(5), pages 593-608, Sept.-Oct.
    6. Brown, Jane P. & Song, Haiyan & McGillivray, Alan, 1997. "Forecasting UK house prices: A time varying coefficient approach," Economic Modelling, Elsevier, vol. 14(4), pages 529-548, October.
    7. Song, Haiyan & Liu, Xiaming & Romilly, Peter, 1997. "A Comparative Study of Modelling the Demand for Food in the United States and the Netherlands: Reply," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(5), pages 612-613, Sept.-Oct.
    8. Harvey, Andrew & Scott, Andrew, 1994. "Seasonality in Dynamic Regression Models," Economic Journal, Royal Economic Society, vol. 104(427), pages 1324-1345, November.
    9. Attanasio, Orazio P & Weber, Guglielmo, 1994. "The UK Consumption Boom of the Late 1980s: Aggregate Implications of Microeconomic Evidence," Economic Journal, Royal Economic Society, vol. 104(427), pages 1269-1302, November.
    10. Molana, H, 1991. "The Time Series Consumption Function: Error Correction, Random Walk and the Steady-State," Economic Journal, Royal Economic Society, vol. 101(406), pages 382-403, May.
    11. McKeirnan, Barbara, 1996. "Consumption and the credit market," Economics Letters, Elsevier, vol. 51(1), pages 83-88, April.
    12. Patterson, K D, 1995. "An Integrated Model of the Data Measurement and Data Generation Processes with an Application to Consumers' Expenditure," Economic Journal, Royal Economic Society, vol. 105(428), pages 54-76, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Haiyan Song & Egon Smeral & Gang Li & Jason L. Chen, 2008. "Tourism Forecasting: Accuracy of Alternative Econometric Models Revisited," WIFO Working Papers 326, WIFO.
    2. Peng, Bo & Song, Haiyan & Crouch, Geoffrey I., 2014. "A meta-analysis of international tourism demand forecasting and implications for practice," Tourism Management, Elsevier, vol. 45(C), pages 181-193.
    3. Feng-Li Lin & Wen-Yi Chen, 2020. "Did the Consumption Voucher Scheme Stimulate the Economy? Evidence from Smooth Time-Varying Cointegration Analysis," Sustainability, MDPI, vol. 12(12), pages 1-16, June.
    4. Song, Haiyan & Witt, Stephen F. & Jensen, Thomas C., 2003. "Tourism forecasting: accuracy of alternative econometric models," International Journal of Forecasting, Elsevier, vol. 19(1), pages 123-141.
    5. Ogechi Adeola & Nathaniel Boso & Olaniyi Evans, 2018. "Drivers of international tourism demand in Africa," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 53(1), pages 25-36, January.
    6. Arns, Jürgen & Bhattacharya, Kaushik, 2005. "Modelling Aggregate Consumption Growth with Time-Varying Parameters," Bonn Econ Discussion Papers 15/2005, University of Bonn, Bonn Graduate School of Economics (BGSE).
    7. M. Matilla-Garcia & P. Perez & B. Sanz, 2006. "Testing for parameter stability: the Spanish consumption function," Applied Economics Letters, Taylor & Francis Journals, vol. 13(7), pages 445-448.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Song, Haiyan & Witt, Stephen F. & Jensen, Thomas C., 2003. "Tourism forecasting: accuracy of alternative econometric models," International Journal of Forecasting, Elsevier, vol. 19(1), pages 123-141.
    2. Haiyan Song, 1995. "A time-varying parameter consumption model for the UK," Applied Economics Letters, Taylor & Francis Journals, vol. 2(10), pages 339-342.
    3. Hansen, Hermann-Josef, 1996. "The impact of interest rates on private consumption in Germany," Discussion Paper Series 1: Economic Studies 1996,03e, Deutsche Bundesbank.
    4. Hansen, Hermann-Josef, 1996. "Der Einfluß der Zinsen auf den privaten Verbrauch in Deutschland," Discussion Paper Series 1: Economic Studies 1996,03, Deutsche Bundesbank.
    5. Moosa, Imad A. & Choe, Chongwoo, 1998. "Is the Korean economy export-driven?," Economic Modelling, Elsevier, vol. 15(2), pages 237-255, April.
    6. Jonathan Aylen & Kevin Albertson & Gina Cavan, 2014. "The impact of weather and climate on tourist demand: the case of Chester Zoo," Climatic Change, Springer, vol. 127(2), pages 183-197, November.
    7. Gomes, Fábio A. R. & Franchini, Douglas de S., 2008. "The Stationarity of Consumption–Income Ratios: Evidence from South American Countries," Insper Working Papers wpe_123, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    8. Karel Janda & Jill J. McCluskey & Gordon C. Rausser, 2000. "Food Import Demand in the Czech Republic," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(1), pages 22-44, January.
    9. Attanasio, Orazio P., 1995. "The intertemporal allocation of consumption: theory and evidence," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 42(1), pages 39-56, June.
    10. Steven Cook, 2003. "The nonstationarity of the consumption-income ratio: Evidence from more powerful Dickey-Fuller tests," Applied Economics Letters, Taylor & Francis Journals, vol. 10(7), pages 393-395.
    11. Alan Carruth & Andrew Dickerson, 2003. "An asymmetric error correction model of UK consumer spending," Applied Economics, Taylor & Francis Journals, vol. 35(6), pages 619-630.
    12. Li-gang Liu & Laurent Pauwels & Andrew Tsang, 2007. "How Large is the Wealth Effect on Hong Kong¡¦s Consumption? Evidence from a Habit Formation Model of Consumption," Working Papers 0720, Hong Kong Monetary Authority.
    13. Diego Romero-Avila, 2008. "A confirmatory analysis of the unit root hypothesis for OECD consumption-income ratios," Applied Economics, Taylor & Francis Journals, vol. 40(17), pages 2271-2278.
    14. Li-gang Liu & Laurent Pauwels & Andrew Tsang, 2007. "Hong Kong's Consumption Function Revisited," Working Papers 0716, Hong Kong Monetary Authority.
    15. Cook, S., 1996. "Econometric methodology I," Discussion Paper Series In Economics And Econometrics 9618, Economics Division, School of Social Sciences, University of Southampton.
    16. Qizilbash, M., 1994. "Bribery, efficiency wages and political protection," Discussion Paper Series In Economics And Econometrics 9418, Economics Division, School of Social Sciences, University of Southampton.
    17. Ulph, A., 1997. "Political institutions and the design of environmental policy in a federal system with asymmetric information," Discussion Paper Series In Economics And Econometrics 9718, Economics Division, School of Social Sciences, University of Southampton.
    18. Arns, Jürgen & Bhattacharya, Kaushik, 2005. "Modelling Aggregate Consumption Growth with Time-Varying Parameters," Bonn Econ Discussion Papers 15/2005, University of Bonn, Bonn Graduate School of Economics (BGSE).
    19. Aldrich, J., 1992. "Haavelmo's Identification Theory," Discussion Paper Series In Economics And Econometrics 9218, Economics Division, School of Social Sciences, University of Southampton.
    20. Romero-Ávila, Diego, 2009. "Are OECD consumption-income ratios stationary after all?," Economic Modelling, Elsevier, vol. 26(1), pages 107-117, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:applec:v:30:y:1998:i:7:p:975-983. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.