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Consumer cohorts and the demand for meat and dairy products

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  • Gustavsen, Geir Wæhler
  • Rickertsen, Kyrre

Abstract

Over their life course, people change their consumption habits when prices, income, tastes or nutritional needs change. The time period during which an individual grew up is often reflected in his or her consumption of different types of food. To investigate the possible links between demographic changes and food consumption, we constructed two-step censored demand systems for different groups of foods. We estimated the systems using Norwegian data for the 1986 – 2012 period. In the systems, age, period, cohort, other demographic and economic variables are included. The estimated systems are used to construct a long-run forecasting model for meat and dairy products. In this model, younger cohorts replace older cohorts with a different consumption pattern. The total purchases of beef, lamb, pork and fluid milk are predicted to decrease, while the total purchases of chicken, yoghurt and cheese are predicted to increase towards 2027.

Suggested Citation

  • Gustavsen, Geir Wæhler & Rickertsen, Kyrre, 2018. "Consumer cohorts and the demand for meat and dairy products," 2018 International European Forum (163rd EAAE Seminar), February 5-9, 2018, Innsbruck-Igls, Austria 276865, International European Forum on System Dynamics and Innovation in Food Networks.
    • Handle: RePEc:ags:iefi18:276865
    DOI: 10.22004/ag.econ.276865
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    References listed on IDEAS

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    1. J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
    2. Deaton, Angus & Paxson, Christina, 1994. "Intertemporal Choice and Inequality," Journal of Political Economy, University of Chicago Press, vol. 102(3), pages 437-467, June.
    3. Alain Carpentier & Hervé Guyomard, 2001. "Unconditional Elasticities in Two-Stage Demand Systems: An Approximate Solution," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 222-229.
    4. David L. Edgerton, 1997. "Weak Separability and the Estimation of Elasticities in Multistage Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 62-79.
    5. Ji Yong Lee & Yiwei Qian & Geir Wæhler Gustavsen & Rodolfo M. Nayga & Kyrre Rickertsen, 2020. "Effects of consumer cohorts and age on meat expenditures in the United States," Agricultural Economics, International Association of Agricultural Economists, vol. 51(4), pages 505-517, July.
    6. Geir Wæhler Gustavsen, 2003. "Forecasting ability of theory-constrained two-stage demand systems," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 30(4), pages 539-558, December.
    7. Geir Gustavsen & Kyrre Rickertsen, 2014. "Consumer cohorts and purchases of nonalcoholic beverages," Empirical Economics, Springer, vol. 46(2), pages 427-449, March.
    8. Frank Asche & Cathy R. Wessells, 1997. "On Price Indices in the Almost Ideal Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1182-1185.
    9. Thomas L. Cox & Michael K. Wohlgenant, 1986. "Prices and Quality Effects in Cross-Sectional Demand Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(4), pages 908-919.
    10. W. Erwin Diewert, 1998. "Index Number Issues in the Consumer Price Index," Journal of Economic Perspectives, American Economic Association, vol. 12(1), pages 47-58, Winter.
    11. Astrid Jonas & Jutta Roosen, 2008. "Demand for milk labels in Germany: organic milk, conventional brands, and retail labels," Agribusiness, John Wiley & Sons, Ltd., vol. 24(2), pages 192-206.
    12. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
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    Cited by:

    1. Stefan Mann & Daria Loginova, 2023. "Distinguishing inter- and pangenerational food trends," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-18, December.

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    Agribusiness; Agricultural and Food Policy; Agricultural Finance;
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