IDEAS home Printed from https://ideas.repec.org/a/sae/niesru/v203y2008i1p91-108.html
   My bibliography  Save this article

Forecasting the Swiss Economy Using Vecx* Models: an Exercise in Forecast Combination Across Models and Observation Windows

Author

Listed:
  • Katrin Assenmacher-Wesche

    (Swiss National Bank, e-mail: katrin.assenmacher-wesche@snb.ch)

  • M. Hashem Pesaran

    (Cambridge University, CIMF, and USC)

Abstract

This paper uses vector error correction models of Switzerland for forecasting output, inflation and the short-term interest rate. It considers three different ways of dealing with forecast uncertainties. First, it investigates the effect on forecasting performance of averaging over forecasts from different models. Second, it considers averaging forecasts from different estimation windows. It is found that averaging over estimation windows is at least as effective as averaging over different models and both complement each other. Third, it examines whether using weighting schemes from the machine learning literature improves the average forecast. Compared to equal weights the effect of alternative weighting schemes on forecast accuracy is small in the present application.

Suggested Citation

  • Katrin Assenmacher-Wesche & M. Hashem Pesaran, 2008. "Forecasting the Swiss Economy Using Vecx* Models: an Exercise in Forecast Combination Across Models and Observation Windows," National Institute Economic Review, National Institute of Economic and Social Research, vol. 203(1), pages 91-108, January.
  • Handle: RePEc:sae:niesru:v:203:y:2008:i:1:p:91-108
    as

    Download full text from publisher

    File URL: http://ner.sagepub.com/content/203/1/91.abstract
    Download Restriction: no

    References listed on IDEAS

    as
    1. Ray Barrell & Ian Hurst, 2008. "Financial Crises and the Prospects for Recession1," National Institute Economic Review, National Institute of Economic and Social Research, vol. 204(1), pages 33-38, April.
    2. Kroszner, Randall S. & Laeven, Luc & Klingebiel, Daniela, 2007. "Banking crises, financial dependence, and growth," Journal of Financial Economics, Elsevier, vol. 84(1), pages 187-228, April.
    3. Ray J Barrell & Simon Kirby, 2007. "Interest Rates and the UK economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 202(1), pages 61-64, October.
    4. Barrell, Ray & Sefton, James, 1997. "Fiscal Policy and the Masstricht Solvency Criteria," The Manchester School of Economic & Social Studies, University of Manchester, vol. 65(3), pages 259-279, June.
    5. Barrell, Ray & Davis, E. Philip & Pomerantz, Olga, 2006. "Costs of financial instability, household-sector balance sheets and consumption," Journal of Financial Stability, Elsevier, vol. 2(2), pages 194-216, June.
    6. Martin Weale, 2008. "Commentary: the Banking Crisis and the Economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 204(1), pages 4-8, April.
    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. Kuzin, Vladimir N. & Marcellino, Massimiliano & Schumacher, Christian, 2009. "Pooling versus model selection for nowcasting with many predictors: an application to German GDP," Discussion Paper Series 1: Economic Studies 2009,03, Deutsche Bundesbank.
    2. Pesaran, M. Hashem & Schuermann, Til & Smith, L. Vanessa, 2009. "Forecasting economic and financial variables with global VARs," International Journal of Forecasting, Elsevier, vol. 25(4), pages 642-675, October.
    3. M. Hashem Pesaran & Andreas Pick, 2008. "Forecasting Random Walks Under Drift Instability," CESifo Working Paper Series 2293, CESifo Group Munich.
    4. Assenmacher-Wesche, K. & Pesaran, M.H., 2008. "A VECX* Model of the Swiss Economy," Cambridge Working Papers in Economics 0809, Faculty of Economics, University of Cambridge.
    5. Davide De Gaetano, 2016. "Forecast Combinations For Realized Volatility In Presence Of Structural Breaks," Departmental Working Papers of Economics - University 'Roma Tre' 0208, Department of Economics - University Roma Tre.
    6. Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, Elsevier.
    7. Feldkircher, Martin, 2015. "A global macro model for emerging Europe," Journal of Comparative Economics, Elsevier, pages 706-726.
    8. Prasad S Bhattacharya & Dimitrios D Thomakos, 2011. "Improving forecasting performance by window and model averaging," CAMA Working Papers 2011-05, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    9. Davide De Gaetano, 2017. "Forecasting With Garch Models Under Structural Breaks: An Approach Based On Combinations Across Estimation Windows," Departmental Working Papers of Economics - University 'Roma Tre' 0219, Department of Economics - University Roma Tre.
    10. Feldkircher, Martin & Korhonen, Iikka, 2012. "The rise of China and its implications for emerging markets : Evidence from a GVAR model," BOFIT Discussion Papers 20/2012, Bank of Finland, Institute for Economies in Transition.
    11. Medel, Carlos A., 2015. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," MPRA Paper 67081, University Library of Munich, Germany.

    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:sae:niesru:v:203:y:2008:i:1:p:91-108. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (SAGE Publications). General contact details of provider: http://edirc.repec.org/data/niesruk.html .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.