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Decomposition analysis of consumers' demand changes: an application to Greek consumption data

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  • Giannis Karagiannis
  • Kostas Velentzas

Abstract

A decomposition analysis for consumer demand functions is developed. Changes in Marshallian demand or expenditure shares functions over time are decomposed into a total substitution effect, an income effect, and a habit effect. This framework is applied to post-war Greek consumption patterns through a habit persistence version of the Quadratic Almost Ideal Demand System (QUAIDS). It is found that for all commodity categories (i.e., food, beverages and tobacco, footwear and clothing, settling and housing, and others) the income effect was the main driving force in explaining changes in both quantity demanded and expenditure shares, followed by habit and total substitution effects.

Suggested Citation

  • Giannis Karagiannis & Kostas Velentzas, 2004. "Decomposition analysis of consumers' demand changes: an application to Greek consumption data," Applied Economics, Taylor & Francis Journals, vol. 36(5), pages 497-504.
    • Handle: RePEc:taf:applec:v:36:y:2004:i:5:p:497-504
    DOI: 10.1080/00036840410001682205
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    References listed on IDEAS

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    1. Giannis Karagiannis & Kostas Velentzas, 1997. "Explaining Food Consumption Patterns In Greece," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 83-92, January.
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    3. Frank T. Denton & Dean C. Mountain, 2007. "Exploring the Effects of Aggregation Error in the Estimation of Consumer Demand Elasticities," Social and Economic Dimensions of an Aging Population Research Papers 226, McMaster University.
    4. Dong, Fengxia, 2006. "The outlook for Asian dairy markets: The role of demographics, income, and prices," Food Policy, Elsevier, vol. 31(3), pages 260-271, June.
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    7. Shashika D. Rathnayaka & Saroja Selvanathan & E. A. Selvanathan, 2021. "Demand for animal‐derived food in selected Asian countries: A system‐wide analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 52(1), pages 97-122, January.
    8. Chen, Quanrun & Dietzenbacher, Erik & Los, Bart & Yang, Cuihong, 2016. "Modeling the short-run effect of fiscal stimuli on GDP: A new semi-closed input–output model," Economic Modelling, Elsevier, vol. 58(C), pages 52-63.
    9. Camilo Sarmiento & Richard Just, 2005. "Empirical modelling of the aggregation error in the representative consumer model," Applied Economics, Taylor & Francis Journals, vol. 37(10), pages 1163-1175.
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    11. Michael Fesseha Yohannes & Toshinobu Matsuda, 2016. "Weather Effects on Household Demand for Coffee and Tea in Japan," Agribusiness, John Wiley & Sons, Ltd., vol. 32(1), pages 33-44, January.
    12. Toshinobu Matsuda, 2007. "Linearizing the inverse quadratic almost ideal demand system," Applied Economics, Taylor & Francis Journals, vol. 39(3), pages 381-396.
    13. Denton, Frank T. & Mountain, Dean C., 2011. "Exploring the effects of aggregation error in the estimation of consumer demand elasticities," Economic Modelling, Elsevier, vol. 28(4), pages 1747-1755, July.

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