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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, 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
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    Citations

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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. 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. 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).
    5. 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.
    6. 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.
    7. 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.
    8. Jin, Hyun Joung, 2008. "Changes in South Korean consumers' preferences for meat," Food Policy, Elsevier, vol. 33(1), pages 74-84, February.
    9. 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.
    10. 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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