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Demand for food-away-from-home: a multiple-discrete–continuous extreme value model

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  • Timothy J. Richards
  • Lisa Mancino

Abstract

Policymakers have suggested the use of taxes to raise the relative cost of buying fast food. Yet, little is known of the structure of demand for food-away-from-home (FAFH) in general. This study provides estimates of the price-elasticity of demand for four different types of FAFH using a new data set from NPD, Inc. and an econometric approach that accounts for the multiple-discrete–continuous nature of FAFH demand. We find that cross-price elasticities of demand are small, so consumers are unwilling to substitute between food-at-home and any type of FAFH or among types of FAFH. Therefore, taxing fast food may be effective in reducing the number of fast food visits and shifting consumption to at-home meals. , Oxford University Press.

Suggested Citation

  • Timothy J. Richards & Lisa Mancino, 2014. "Demand for food-away-from-home: a multiple-discrete–continuous extreme value model," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 41(1), pages 111-133, February.
  • Handle: RePEc:oup:erevae:v:41:y:2014:i:1:p:111-133
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    File URL: http://hdl.handle.net/10.1093/erae/jbt008
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    Cited by:

    1. Jing Li & Edward C. Jaenicke & Tobenna D. Anekwe & Alessandro Bonanno, 2018. "Demand for ready‐to‐eat cereals with household‐level censored purchase data and nutrition label information: A distance metric approach," Agribusiness, John Wiley & Sons, Ltd., vol. 34(4), pages 687-713, October.
    2. Neill, Clinton L. & Lahne, Jacob, 2022. "Matching reality: A basket and expenditure based choice experiment with sensory preferences," Journal of choice modelling, Elsevier, vol. 44(C).
    3. El Benni, Nadja & Finger, Robert & Hediger, Werner, 2014. "Transmission of beef and veal prices in different marketing channels," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182696, European Association of Agricultural Economists.
    4. Guoqiang Wu & Jinhyun Hong & Piyushimita Thakuriah, 2022. "Investigating the temporal changes in the relationships between time spent on the internet and non-mandatory activity-travel time use," Transportation, Springer, vol. 49(1), pages 213-235, February.
    5. Law, Cherry & Smith, Richard & Cornelsen, Laura, 2022. "Place matters: Out-of-home demand for food and beverages in Great Britain," Food Policy, Elsevier, vol. 107(C).

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