IDEAS home Printed from https://ideas.repec.org/p/ags/uerser/34065.html
   My bibliography  Save this paper

Do the Poor Pay More for Food? Item Selection and Price Differences Affect Low-Income Household Food Costs

Author

Listed:
  • Kaufman, Phillip R.
  • MacDonald, James M.
  • Lutz, Steve M.
  • Smallwood, David M.

Abstract

Low-income households may face higher food prices for three reasons: (1) on average, low-income households may spend less in supermarkets--which typically offer the lowest prices and greatest range of brands, package sizes, and quality choices; (2) low-income households are less likely to live in suburban locations where food prices are typically lower; and (3) supermarkets in low-income neighborhoods may charge higher prices than those in nearby higher income neighborhoods. Despite the prevailing higher prices, surveys of household food expenditures show that low-income households typically spend less than other households, on a per unit basis, for the foods they buy. Low-income households may realize lower costs by selecting more economical foods and lower quality items. In areas where food choices are limited due to the kinds and locations of foodstores, households may have sharply higher food costs.

Suggested Citation

  • Kaufman, Phillip R. & MacDonald, James M. & Lutz, Steve M. & Smallwood, David M., 1997. "Do the Poor Pay More for Food? Item Selection and Price Differences Affect Low-Income Household Food Costs," Agricultural Economic Reports 34065, United States Department of Agriculture, Economic Research Service.
  • Handle: RePEc:ags:uerser:34065
    DOI: 10.22004/ag.econ.34065
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/34065/files/ae970759.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.34065?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Deaton, Angus, 1987. "Estimation of own- and cross-price elasticities from household survey data," Journal of Econometrics, Elsevier, vol. 36(1-2), pages 7-30.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andalón, Mabel & Gibson, John, 2018. "The ‘soda tax’ is unlikely to make Mexicans lighter or healthier: New evidence on biases in elasticities of demand for soda," MPRA Paper 86370, University Library of Munich, Germany.
    2. Mabel Andalon & John Gibson, 2017. "The 'Soda Tax' is Unlikely to Make Mexicans Lighter: New Evidence on Biases in Elasticities of Demand for Soda," Working Papers in Economics 17/07, University of Waikato.
    3. Gibson, John & Rozelle, Scott, 2002. "Demand Systems With Unit Values: Comparisons With Elasticities from Market Prices," 2002 Conference (46th), February 13-15, 2002, Canberra, Australia 173980, Australian Agricultural and Resource Economics Society.
    4. Gracia, A. & Albisu, L. M., 1998. "The demand for meat and fish in Spain: Urban and rural areas," Agricultural Economics, Blackwell, vol. 19(3), pages 359-366, December.
    5. Diansheng Dong & Brian W. Gould, 2000. "Quality versus quantity in Mexican household poultry and pork purchases," Agribusiness, John Wiley & Sons, Ltd., vol. 16(3), pages 333-355.
    6. Huang, Kuo S. & Lin, Biing-Hwan, 2000. "Estimation of Food Demand Nutrient Elasticities from household Survey Data," Technical Bulletins 184370, United States Department of Agriculture, Economic Research Service.
    7. Davis, Christopher G. & Dong, Diansheng & Blayney, Donald P. & Yen, Steven T. & Stillman, Richard, 2012. "U.S. Fluid Milk Demand: A Disaggregated Approach," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 15(1), pages 1-26, February.
    8. Olivia, Susan & Gibson, John, 2005. "Unit Value Biases in Price Elasticities of Demand for Meat in Indonesia," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 13.
    9. Gibson, John & Kim, Bonggeun, 2019. "Quality, quantity, and spatial variation of price: Back to the bog," Journal of Development Economics, Elsevier, vol. 137(C), pages 66-77.
    10. Gould, Brian W. & Dong, Diansheng, 2000. "The Decision Of When To Buy A Frequently Purchased Good: A Multi-Period Probit Model," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-17, December.
    11. Vu, Linh Hoang, 2012. "Estimation Of Food Demand In Vietnam," MPRA Paper 94801, University Library of Munich, Germany.
    12. Korir, Lilian & Rizov, Marian & Ruto, Eric, 2018. "Analysis of household food demand and its implications on food security in Kenya: an application of QUAIDS model," 92nd Annual Conference, April 16-18, 2018, Warwick University, Coventry, UK 273474, Agricultural Economics Society.
    13. Charles Ackah, & Simon Appleton, 2007. "Food Price Changes and Consumer Welfare in Ghana in the 1990s," Discussion Papers 07/03, University of Nottingham, CREDIT.
    14. Korir, Lilian & Rizov, Marian & Ruto, Eric, 2020. "Food security in Kenya: Insights from a household food demand model," Economic Modelling, Elsevier, vol. 92(C), pages 99-108.
    15. Richards, Timothy J. & Patterson, Paul M., 2000. "New Varieties And The Returns To Commodity Promotion: The Case Of Fuji Apples," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 29(1), pages 1-14, April.
    16. Rahbauer, S. & Staudigel, M. & Roosen, J., 2018. "Investigating German meat demand for consumer groups with different attitudes and sociodemographic characteristics," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277058, International Association of Agricultural Economists.
    17. Agénor Lahatte, 2010. "Autocorrélation spatiale et modèle de demande traitant des valeurs unitaires," Économie et Prévision, Programme National Persée, vol. 193(2), pages 101-117.
    18. 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.
    19. Richards, Timothy J. & Patterson, Paul M., 1999. "The Impact Of Promotion And Advertising On Choice Of Fruit Category And Apple Variety: A Latent-Class Approach," 1999 Annual meeting, August 8-11, Nashville, TN 21627, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    20. Crawford, Ian & Laisney, Francois & Preston, Ian, 2003. "Estimation of household demand systems with theoretically compatible Engel curves and unit value specifications," Journal of Econometrics, Elsevier, vol. 114(2), pages 221-241, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:uerser:34065. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ersgvus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.