IDEAS home Printed from https://ideas.repec.org/a/jae/japmet/v12y1997i5p563-86.html
   My bibliography  Save this article

Empirical Econometric Modelling of Food Consumption Using a New Informational Complexity Approach

Author

Listed:
  • Bearse, Peter M
  • Bozdogan, Hamparsum
  • Schlottmann, Alan M

Abstract

This paper is concerned with empirical econometric modeling of food consumption in the USA and the Netherlands. Using autoregressive distributed lag models (ADLs) selected via the Informational Complexity (ICOMP) criterion, we study the relationship between food consumption and income. Whether food consumption obeys the homogeneity postulate is tested using information criteria. Using information-theoretic techniques, we identify the optimal information set and lag order for a Vector Autoregressive (VAR) forecast of food consumption in the Netherlands we demonstrate how multisample cluster analysis, a combinatorial grouping of samples or data matrices, can be used to determine when the pooling of data sets is appropriate, and how ICOMP can be used in conjunction with the Genetic Algorithm (GA) to determine the optimal predictors in the celebrated seemingly unrelated regressions (SUR) model framework.

Suggested Citation

  • Bearse, Peter M & Bozdogan, Hamparsum & Schlottmann, Alan M, 1997. "Empirical Econometric Modelling of Food Consumption Using a New Informational Complexity Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(5), pages 563-586, Sept.-Oct.
    • Handle: RePEc:jae:japmet:v:12:y:1997:i:5:p:563-86
    as

    Download full text from publisher

    File URL: http://qed.econ.queensu.ca:80/jae/1997-v12.5/
    File Function: Supporting data files and programs
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Bozdogan, Hamparsum & Haughton, Dominique M. A., 1998. "Informational complexity criteria for regression models," Computational Statistics & Data Analysis, Elsevier, vol. 28(1), pages 51-76, July.
    2. Susan Helper & David I. Levine & Elliot Bendoly, 2002. "Employee Involvement And Pay At Us And Canadian Auto Suppliers," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 11(2), pages 329-377, June.
    3. Farshid Vahid, 2000. "Clustering Regression Functions in a Panel," Econometric Society World Congress 2000 Contributed Papers 0251, Econometric Society.
    4. Heng Xu & Nan Zhang, 2022. "From Contextualizing to Context Theorizing: Assessing Context Effects in Privacy Research," Management Science, INFORMS, vol. 68(10), pages 7383-7401, October.
    5. Ville Aalto-Setälä & Jouko Kinnunen & Katri Koistinen, 2004. "Reasons for high food prices in small market areas: The case of the Åland Islands," Agribusiness, John Wiley & Sons, Ltd., vol. 20(1), pages 17-29.
    6. Jan Hanousek & Jaromir Antoch, 2000. "Model Selection and Simplification Using Lattices," CERGE-EI Working Papers wp164, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    7. Damjan Pfajfar & Emiliano Santoro, 2007. "Heterogeneity, Asymmetries and Learning in InfIation Expectation Formation: An Empirical Assessment," Money Macro and Finance (MMF) Research Group Conference 2006 123, Money Macro and Finance Research Group.

    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:jae:japmet:v:12:y:1997:i:5:p:563-86. 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: Wiley-Blackwell Digital Licensing or Christopher F. Baum (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0883-7252/ .

    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.