IDEAS home Printed from https://ideas.repec.org/a/taf/apfiec/v21y2011i1-2p19-32.html
   My bibliography  Save this article

Revisiting UK consumers' expenditure: cointegration, breaks and robust forecasts

Author

Listed:
  • David Hendry

Abstract

We revisit equilibrium-correction modelling of aggregate real consumers' expenditure in the UK, using Autometrics applied to the data in Davidson, Hendry, Srba and Yeo (DHSY; 1978). The many selection decisions involved in developing viable empirical models are discussed in a setting where there are more candidate explanatory variables than observations, here due to Impulse-Indicator Saturation (IIS) for detecting breaks, outliers and data contamination. Additional tests of the selected model include whether it encompasses the original specification, evidence of nonlinearity and if the conditioning variables are super exogenous. We consider how IIS affects economic interpretations of models, and conversely, and the implications of robust forecasting devices.

Suggested Citation

  • David Hendry, 2011. "Revisiting UK consumers' expenditure: cointegration, breaks and robust forecasts," Applied Financial Economics, Taylor & Francis Journals, vol. 21(1-2), pages 19-32.
  • Handle: RePEc:taf:apfiec:v:21:y:2011:i:1-2:p:19-32
    DOI: 10.1080/09603107.2011.523173
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/09603107.2011.523173
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/09603107.2011.523173?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. Granger,Clive W. J., 1999. "Empirical Modeling in Economics," Cambridge Books, Cambridge University Press, number 9780521778251.
    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. Olayeni, Olaolu Richard & Tiwari, Aviral Kumar & Wohar, Mark E., 2020. "Global economic activity, crude oil price and production, stock market behaviour and the Nigeria-US exchange rate," Energy Economics, Elsevier, vol. 92(C).

    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. Florian Knobloch & Hector Pollitt & Unnada Chewpreecha & Vassilis Daioglou & Jean-Francois Mercure, 2017. "Simulating the deep decarbonisation of residential heating for limiting global warming to 1.5C," Papers 1710.11019, arXiv.org, revised May 2018.
    2. Hsiang-Ke Chao, 2007. "A structure of the consumption function," Journal of Economic Methodology, Taylor & Francis Journals, vol. 14(2), pages 227-248.
    3. Katherine O. Baer, 2013. "What International Experience Can Tell Us About the Potential Challenges of Administering a U.S. Vat," National Tax Journal, National Tax Association;National Tax Journal, vol. 66(2), pages 447-478, June.
    4. Michael Keane & Elena Capatina & Shiko Maruyama, 2019. "Health Shocks and the Evolution of Earnings over the Life-Cycle," Discussion Papers 2018-14a, School of Economics, The University of New South Wales.
    5. 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.
    6. Mauro Costantini & Claudio Lupi, 2005. "Stochastic convergence among European economies," Economics Bulletin, AccessEcon, vol. 3(38), pages 1-17.
    7. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2010. "Forecasting with DSGE models," Working Paper Series 1185, European Central Bank.
    8. G. Emmanuel Guindon & Paul Contoyannis, 2012. "A Second Look At Pharmaceutical Spending As Determinants Of Health Outcomes In Canada," Health Economics, John Wiley & Sons, Ltd., vol. 21(12), pages 1477-1495, December.
    9. Mircea ASANDULUI, 2012. "On forecasting stock options volatility: evidence from London international financial futures and options exchange," Anale. Seria Stiinte Economice. Timisoara, Faculty of Economics, Tibiscus University in Timisoara, vol. 0, pages 505-511, May.
    10. Bardsen, Gunnar & Eitrheim, Oyvind & Jansen, Eilev S. & Nymoen, Ragnar, 2005. "The Econometrics of Macroeconomic Modelling," OUP Catalogue, Oxford University Press, number 9780199246502.
    11. Mohammad Hossien Pourkazemi & Mohammad Naser Sherafat & Delfan Azari, 2015. "Modeling Iran`s Underground Economy: A Fuzzy Logic Approach," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 19(1), pages 91-106, Winter.
    12. McCauley, Joseph L., 2004. "Making dynamic modelling effective in economics," MPRA Paper 2130, University Library of Munich, Germany.
    13. Evans, Edward A., 2003. "Bridging the Communication Gap Between Economists and Biological Scientists in the Management of Invasive Species," Monographs, University of Florida, International Agricultural Trade and Policy Center, number 15704.
    14. Gebhard Kirchgässner & Jürgen Wolters, 2010. "The Role of Monetary Aggregates in the Policy Analysis of the Swiss National Bank," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 146(I), pages 221-253, March.
    15. Roberto Dell’Anno, 2010. "Institutions and human development in the Latin American informal economy," Constitutional Political Economy, Springer, vol. 21(3), pages 207-230, September.
    16. repec:ebl:ecbull:v:3:y:2005:i:38:p:1-17 is not listed on IDEAS
    17. Gunnar Bårdsen & Kjersti-Gro Lindquist & Dimitrios P. Tsomocos, 2012. "Evaluation of Macroeconomic Models for Financial Stability Analysis," Chapters, in: The Challenge of Financial Stability, chapter 3, pages 32-58, Edward Elgar Publishing.
    18. Lee, Tae-Hwy & Yang, Yang, 2006. "Bagging binary and quantile predictors for time series," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 465-497.
    19. Raffaella Giacomini & Halbert White, 2006. "Tests of Conditional Predictive Ability," Econometrica, Econometric Society, vol. 74(6), pages 1545-1578, November.
    20. Lee, Tae-Hwy & Tu, Yundong & Ullah, Aman, 2014. "Nonparametric and semiparametric regressions subject to monotonicity constraints: Estimation and forecasting," Journal of Econometrics, Elsevier, vol. 182(1), pages 196-210.
    21. Francesco Audrino & Dominik Colagelo, 2007. "Forecasting Implied Volatility Surfaces," University of St. Gallen Department of Economics working paper series 2007 2007-42, Department of Economics, University of St. Gallen.

    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:apfiec:v:21:y:2011:i:1-2:p:19-32. 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/RAFE20 .

    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.