IDEAS home Printed from https://ideas.repec.org/a/oup/ecinqu/v43y2005i1p1-12.html
   My bibliography  Save this article

Modeling, Evaluation, and Methodology in the New Century

Author

Listed:
  • Clive W. J. Granger

Abstract

The modern world has influenced the approach to empirical modeling and consequently the approach to methodology in general. The question of whether to base a model on an economic theory is easier when several models can be constructed, but an empirical evaluation analysis is required. Starting with a widely specified model and using a reduction procedure is currently a popular process; it is unclear if the reduction should be to a single or to a few alternatives. New methodologies are required for conditional predictive distributions, which are the models of the future. (JEL B41, C50) Copyright 2005, Oxford University Press.

Suggested Citation

  • Clive W. J. Granger, 2005. "Modeling, Evaluation, and Methodology in the New Century," Economic Inquiry, Western Economic Association International, vol. 43(1), pages 1-12, January.
    • Handle: RePEc:oup:ecinqu:v:43:y:2005:i:1:p:1-12
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ei/cbi001
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

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


    Cited by:

    1. Zijun Wang & Andrew J. Rettenmaier, 2008. "Deficits, Explicit Debt, Implicit Debt, and Interest Rates: Some Empirical Evidence," Southern Economic Journal, John Wiley & Sons, vol. 75(1), pages 208-222, July.
    2. Andrew Rettenmaier & Zijun Wang, 2013. "What determines health: a causal analysis using county level data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(5), pages 821-834, October.
    3. David Bessler & Zijun Wang, 2012. "D-separation, forecasting, and economic science: a conjecture," Theory and Decision, Springer, vol. 73(2), pages 295-314, August.
    4. Adusei Jumah & Robert M. Kunst, 2008. "Seasonal prediction of European cereal prices: good forecasts using bad models?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(5), pages 391-406.
    5. Adusei Jumah & Robert M. Kunst, 2016. "Optimizing time-series forecasts for inflation and interest rates using simulation and model averaging," Applied Economics, Taylor & Francis Journals, vol. 48(45), pages 4366-4378, September.

    More about this item

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General

    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:oup:ecinqu:v:43:y:2005:i:1:p:1-12. 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.

    We have no bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/weaaaea.html .

    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.