IDEAS home Printed from https://ideas.repec.org/a/oup/erevae/v30y2003i2p241-270.html
   My bibliography  Save this article

Time-varying coefficients in the Almost Ideal Demand System: an empirical appraisal

Author

Listed:
  • Mario Mazzocchi

Abstract

This paper provides a generalisation of the structural time series version of the Almost Ideal Demand System (AIDS) that allows for time-varying coefficients (TVC-AIDS) in the presence of cross-equation constraints. An empirical appraisal of the TVC-AIDS is made using a dynamic AIDS with trending intercept as the baseline model with a data set from the Italian Household Budget Survey (1986--2001). The assessment is based on four criteria: adherence to theoretical constraints, statistical diagnostics on residuals, forecasting performance and economic meaningfulness. No clear evidence is found for superior performance of the TVC-AIDS, apart from improved short-term forecasts. Copyright 2003, Oxford University Press.

Suggested Citation

  • Mario Mazzocchi, 2003. "Time-varying coefficients in the Almost Ideal Demand System: an empirical appraisal," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 30(2), pages 241-270, June.
    • Handle: RePEc:oup:erevae:v:30:y:2003:i:2:p:241-270
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Tefera, Nigussie, 2012. "Welfare Impacts of Rising Food Prices in Rural Ethiopia: a Quadratic Almost Ideal Demand System Approach," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126698, International Association of Agricultural Economists.
    2. Mazzocchi, Mario, 2006. "Time patterns in UK demand for alcohol and tobacco: an application of the EM algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2191-2205, May.
    3. Mazzocchi, Mario & Lobb, Alexandra E., 2005. "A Latent-Variable Approach to Modelling Multiple and Resurgent Meat Scares in Italy," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24509, European Association of Agricultural Economists.
    4. Fade-Aluko, Titilope O. & Sanusi, Rahman A. & Afolami, Carolyn A. & Phillip, Biola B., 2016. "Analysis of Urban Households' Demand for Sweeteners in Ogun State, Nigeria," Nigerian Journal of Agricultural Economics, Nigerian Journal of Agricultural Economics, vol. 6(1), October.
    5. Jin, Hyun Joung, 2008. "Changes in South Korean consumers' preferences for meat," Food Policy, Elsevier, vol. 33(1), pages 74-84, February.
    6. William A. Barnett & Isaac Kalonda Kanyama, 2013. "Time-varying parameters in the almost ideal demand system and the Rotterdam model: will the best specification please stand up?," Applied Economics, Taylor & Francis Journals, vol. 45(29), pages 4169-4183, October.
    7. Mazzocchi, Mario, 2004. "Modeling the Impact of Food Safety Information with No Information," 2004 Annual meeting, August 1-4, Denver, CO 20252, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Mu, Jianhong E. & McCarl, Bruce A. & Bessler, David A., 2013. "Impacts of BSE and Avian Influenza on U.S. Meat Demand," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150392, Agricultural and Applied Economics Association.
    9. Mazzocchi, Mario, 2004. "Food Scares and Demand Recovery Patterns: An Econometric Investigation," 84th Seminar, February 8-11, 2004, Zeist, The Netherlands 24990, European Association of Agricultural Economists.

    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:oup:erevae:v:30:y:2003:i:2:p:241-270. 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/eaaeeea.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.