IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v43y2011i18p2343-2363.html
   My bibliography  Save this article

Disaggregated household meat demand with censored data

Author

Listed:
  • Brian Coffey
  • Ted Schroeder
  • Thomas Marsh

Abstract

Previous research on meat demand has generally used highly aggregated data (across time, products and consumers). However, meat products across species are likely stronger substitutes than some products from the same species. Further, demand for specific meat products would be expected to respond differently to market information about food safety or other events. This study uses monthly consumer panel data collected between 1992 and 2000 to estimate a disaggregated meat product demand system. The use of the expectations maximization algorithm is introduced to estimate a demand system that adjusts for the econometric problem of censored data resulting from purchased shares of some products by individuals often being equal to zero. Results indicate that certain individual meat products have noticeably different own-price elasticities than existing aggregate meat product estimates of their respective species. Some individual meat products have stronger substitutes across species than within species (e.g. beef steak and pork chops are substitutes, but beef roast and ground beef or not substitutes for steak).

Suggested Citation

  • Brian Coffey & Ted Schroeder & Thomas Marsh, 2011. "Disaggregated household meat demand with censored data," Applied Economics, Taylor & Francis Journals, vol. 43(18), pages 2343-2363.
    • Handle: RePEc:taf:applec:v:43:y:2011:i:18:p:2343-2363
    DOI: 10.1080/00036840903194238
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/00036840903194238
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Diansheng Dong & Christopher G. Davis & Hayden Stewart, 2015. "The quantity and variety of households’ meat purchases: A censored demand system approach," Agricultural Economics, International Association of Agricultural Economists, vol. 46(1), pages 99-112, January.
    2. Tan, Andrew K. G. & Yen, Steven T. & Hasan, Abdul Rahman & Muhamed, Kamarudin, 2015. "Determinants of Purchase Likelihoods and Amounts Spent on Meat in Malaysia: A Sample Selection System Approach," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(1), April.
    3. Tselepidakis, Elina, 2012. "Food Safety And The Demand For Meat Products," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124968, Agricultural and Applied Economics Association.
    4. Beatty, Timothy & Katare, Bhagyashree, 2016. "What Drives Media Reporting of Food Safety Events? Evidence From U.S. Meat Recalls," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 239243, Agricultural and Applied Economics Association.
    5. Bilgic, Abdulbaki & Yen, Steven T., 2013. "Household food demand in Turkey: A two-step demand system approach," Food Policy, Elsevier, vol. 43(C), pages 267-277.
    6. Rentsch, Dennis & Damon, Amy, 2013. "Prices, poaching, and protein alternatives: An analysis of bushmeat consumption around Serengeti National Park, Tanzania," Ecological Economics, Elsevier, vol. 91(C), pages 1-9.
    7. Peter R. Tozer & Thomas. L. Marsh & Evgeniy V. Perevodchikov, 2015. "Economic Welfare Impacts of Foot-and-Mouth Disease in the Canadian Beef Cattle Sector," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(2), pages 163-184, June.
    8. Tselepidakis, Elina, 2015. "Food Safety and the Demand for Leafy Greens," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205583, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
    9. Lee L. Schulz & Ted C. Schroeder & Tian Xia, 2012. "Studying composite demand using scanner data: the case of ground beef in the US," Agricultural Economics, International Association of Agricultural Economists, vol. 43, pages 49-57, November.
    10. Martin Browning & Lars Gårn Hansen & Sinne Smed, 2013. "Rational inattention or rational overreaction? Consumer reactions to health news," IFRO Working Paper 2013/14, University of Copenhagen, Department of Food and Resource Economics.

    More about this item

    Statistics

    Access and download statistics

    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:taf:applec:v:43:y:2011:i:18:p:2343-2363. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.