IDEAS home Printed from https://ideas.repec.org/p/ags/umapmt/161441.html
   My bibliography  Save this paper

Predicting aggregate food consumption for a specific geographic area: an application to southeast Minnesota

Author

Listed:
  • Wang, Yuki

Abstract

This thesis develops a framework for estimating food expenditures for a variety of U.S. communities, including regions, states counties and metropolitan areas. The framework is then illustrated by providing estimates of household expenditures for 19 food categories at the national level, in the Twin Cities metropolitan area and in the Southeastern Minnesota area. First household characteristics are related to food expenditures using Consumer Expenditure Survey Data (CEX); then expenditures are aggregated at the community level by applying household demographic profiles from American Community Survey data to the estimations from Consumer Expenditure Survey data. This research is distinctive because (1) it suggests a general and universal model for forecasting food expenditure patterns at almost any regional level; and (2) it provides a good estimation of food expenditure to match with current foodshed analysis. The regression results present a comprehensive relationship between demographic factors and consumer expenditures on 19 food categories. Findings also show that household purchasing patterns are significantly different across regions and that it is not accurate to use average CEX results for the nation to estimate aggregate expenditure by households in a particular locale.

Suggested Citation

  • Wang, Yuki, 2011. "Predicting aggregate food consumption for a specific geographic area: an application to southeast Minnesota," Master's Theses and Plan B Papers 161441, University of Minnesota, Department of Applied Economics.
  • Handle: RePEc:ags:umapmt:161441
    DOI: 10.22004/ag.econ.161441
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/161441/files/Yuki_s_Plan_B_Thesis_Final_0125.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.161441?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. Heien, Dale & Durham, Cathy, 1991. "A Test of the Habit Formation Hypothesis Using Household Data," The Review of Economics and Statistics, MIT Press, vol. 73(2), pages 189-199, May.
    2. Rodolfo M. Nayga, 1995. "Microdata Expenditure Analysis of Disaggregate Meat Products," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 17(3), pages 275-285.
    3. Steven Yen & Kamhon Kan & Shew-Jiuan Su, 2002. "Household demand for fats and oils: two-step estimation of a censored demand system," Applied Economics, Taylor & Francis Journals, vol. 34(14), pages 1799-1806.
    4. Steven T. Yen & Helen H. Jensen, 1995. "Determinants of Household Expenditures on Alcohol," Center for Agricultural and Rural Development (CARD) Publications 95-wp144, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    5. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    6. Jack Kloppenburg & John Hendrickson & G. Stevenson, 1996. "Coming in to the foodshed," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 13(3), pages 33-42, June.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Dietrich, Sadie M., 2013. "Feeding Southeast Minnesota: A Model to Estimate Food Expenditures and Quantities," Master's Theses 151865, University of Minnesota, Department of Applied Economics.

    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. Aborisade, Olumide & Carpio, Carlos, 2017. "Household Demand for Meat in Nigeria," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252839, Southern Agricultural Economics Association.
    2. Juan Carlos Caro & Shu Wen Ng & Ricardo Bonilla & Jorge Tovar & Barry M Popkin, 2017. "Sugary drinks taxation, projected consumption and fiscal revenues in Colombia: Evidence from a QUAIDS model," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-16, December.
    3. Luigi Cembalo & Francesco Caracciolo & Eugenio Pomarici, 2014. "Drinking cheaply: the demand for basic wine in Italy," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(3), pages 374-391, July.
    4. Me-Nsope, Nathalie M. & Staatz, John M., 2016. "Household-Level Evidence of Cereals Demand and the Welfare Implications of Cereals Price Shocks in Rural and Urban Mali," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246397, African Association of Agricultural Economists (AAAE).
    5. Beach, Robert H. & Zhen, Chen, 2008. "Consumer Purchasing Behavior in Response to Media Coverage of Avian Influenza," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6750, Southern Agricultural Economics Association.
    6. Andrej Cupák & Peter Tóth, 2017. "Measuring the Efficiency of VAT reforms: Evidence from Slovakia," Working and Discussion Papers WP 6/2017, Research Department, National Bank of Slovakia.
    7. Eugene Jones & Cuma Akbay & Brian Roe & Wen S. Chern, 2003. "Analyses of consumers' dietary behavior: An application of the AIDS model to supermarket scanner data," Agribusiness, John Wiley & Sons, Ltd., vol. 19(2), pages 203-221.
    8. Peter Tóth & Andrej Cupák & Marian Rizov, 2021. "Measuring the efficiency of VAT reforms: a demand system simulation approach," Oxford Economic Papers, Oxford University Press, vol. 73(3), pages 1218-1243.
    9. Elsner, Karin, 1999. "Analysing Russian Food Expenditure Using Micro-Data," IAMO Discussion Papers 14909, Institute of Agricultural Development in Transition Economies (IAMO).
    10. Ishdorj, Ariun & Jensen, Helen H., 2010. "Demand For Breakfast Cereals: Whole Grains Guidance And Food Choice," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116445, European Association of Agricultural Economists.
    11. Harald Tauchmann, 2010. "Consistency of Heckman-type two-step estimators for the multivariate sample-selection model," Applied Economics, Taylor & Francis Journals, vol. 42(30), pages 3895-3902.
    12. Zheng, Zhihao & Henneberry, Shida Rastegari, 2012. "Estimating the impacts of rising food prices on nutrient intake in urban China," China Economic Review, Elsevier, vol. 23(4), pages 1090-1103.
    13. 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.
    14. Zhuo Chen & Steven Yen, 2005. "On bias correction in the multivariate sample-selection model," Applied Economics, Taylor & Francis Journals, vol. 37(21), pages 2459-2468.
    15. Renner, Sebastian & Lay, Jann & Schleicher, Michael, 2017. "The Effects of Energy Price Changes: Heterogeneous Welfare Impacts, Energy Poverty, and CO2 Emissions in Indonesia," GIGA Working Papers 302, GIGA German Institute of Global and Area Studies.
    16. Fabrizio balli & Silvia Tiezzi, 2008. "Households Consumption Patterns and Equivalence Scales in Italy: 1997-2004," Department of Economics University of Siena 535, Department of Economics, University of Siena.
    17. Eakins, John, 2016. "An application of the double hurdle model to petrol and diesel household expenditures in Ireland," Transport Policy, Elsevier, vol. 47(C), pages 84-93.
    18. Nayga, Rodolfo M., 1996. "Wife's Labor Force Participation and Family Expenditures for Prepared Food, Food Prepared at Home, and Food Away from Home," Agricultural and Resource Economics Review, Cambridge University Press, vol. 25(2), pages 179-186, October.
    19. L. Fanelli & M. Mazzocchi, 2004. "Back to the future? Habits and rational addiction in UK tobacco and alcohol demand," Quaderni di Dipartimento 0, Department of Statistics, University of Bologna.
    20. Ole Boysen, 2016. "Food Demand Characteristics in Uganda: Estimation and Policy Relevance," South African Journal of Economics, Economic Society of South Africa, vol. 84(2), pages 260-293, 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:umapmt:161441. 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/daumnus.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.