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

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  • 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, Foundation for the European Review of Agricultural Economics, vol. 30(2), pages 241-270, June.
  • Handle: RePEc:oup:erevae:v:30:y:2003:i:2:p:241-270
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Jin, Hyun Joung, 2008. "Changes in South Korean consumers' preferences for meat," Food Policy, Elsevier, vol. 33(1), pages 74-84, February.
    6. 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.
    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. 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.
    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.

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