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A model of household type specific food demand behaviour in Hungary

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  • Brosig, Stephan

Abstract

The paper describes a two stage model of Hungarian households' food demand. Demand for the food aggregate is represented by a Working-Leser type single equation model while demand for seven distinct food types is modelled in a complete demand system using the LA/AIDS functional form. Estimation is based on household budget survey data for 1996. Demand elasticities are estimated for average households as well as for specific groups defined by sociodemographic characteristics. Fruit and vegetables are found to be the food types with most elastic demand but in general, differences between elasticities for different products as well as between different sociodemographic groups are relatively small.

Suggested Citation

  • Brosig, Stephan, 2000. "A model of household type specific food demand behaviour in Hungary," IAMO Discussion Papers 30, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    • Handle: RePEc:zbw:iamodp:14864
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    References listed on IDEAS

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    1. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762.
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    10. Heien, Dale & Wessells, Cathy Roheim, 1990. "Demand Systems Estimation with Microdata: A Censored Regression Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 365-371, July.
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    Cited by:

    1. Corinna Manig & Alessio Moneta, 2014. "More or better? Measuring quality versus quantity in food consumption," Journal of Bioeconomics, Springer, vol. 16(2), pages 155-178, July.
    2. Hesse, Klaus & Hoffmann, Claudia & Thiele, Silke, 2002. "Änderungen der Struktur der Nachfrage nach Nahrungs-und Genußmitteln privater Haushalte und deren Bedeutung für die Ernährungs- und Agrarwirtschaft Schleswig-Holsteins," FE Working Papers 0302, Christian-Albrechts-University of Kiel, Department of Food Economics and Consumption Studies.
    3. Herzfeld, Thomas & Huffman, Sonya Kostova & Oskam, Arie J. & Rizov, Marian, 2009. "Changes in Food, Alcohol and Cigarettes Consumption during Transition: Evidence from Russia," 2009 Conference, August 16-22, 2009, Beijing, China 49941, International Association of Agricultural Economists.
    4. Herzfeld, Thomas & Huffman, Sonya K. & Rizov, Marian, 2009. "The Dynamics of the Russian Lifestyle During Transition: Changes in Food, Alcohol and Cigarette Consumption," Staff General Research Papers Archive 13116, Iowa State University, Department of Economics.
    5. Braha, Kushtrim & Cupak, Andrej & Qineti, Artan & Pokrivcak, Jan, 2018. "Food Demand System in Transition Economies: Evidence from Kosovo," 162nd Seminar, April 26-27, 2018, Budapest, Hungary 272050, European Association of Agricultural Economists.
    6. Tim Pawlowski & Christoph Breuer, 2012. "Expenditure elasticities of the demand for leisure services," Applied Economics, Taylor & Francis Journals, vol. 44(26), pages 3461-3477, September.
    7. Tey, (John) Yeong-Sheng, 2008. "Household expenditure on food at home in Malaysia," MPRA Paper 15031, University Library of Munich, Germany.
    8. Brosig, S., 2001. "Analyse des Nahrungsmittelkonsums unterschiedlicher Bevölkerungsgruppen in Ungarn," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 37.
    9. Matthias Staudigel & Rebecca Schröck, 2015. "Food Demand in Russia: Heterogeneous Consumer Segments over Time," Journal of Agricultural Economics, Wiley Blackwell, vol. 66(3), pages 615-639, September.

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    More about this item

    Keywords

    food demand; demand modelling; Hungary; Nahrungsmittel; Nachfragemodell; Ungarn;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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