IDEAS home Printed from https://ideas.repec.org/a/cup/jagaec/v22y1990i02p31-38_00.html
   My bibliography  Save this article

Analyzing Fresh Vegetable Consumption From Household Survey Data

Author

Listed:
  • Reynolds, Anderson

Abstract

To analyze fresh vegetable consumption using household survey data, the tobit model and a more flexible parameterization to the tobit model—the “double hurdle†model—were considered. Based on the likelihood ratio test, the tobit model was rejected against the “double hurdle†specification. Moreover, the results suggest that the tobit model underestimated the impact of the explanatory variables on fresh vegetable expenditures. Other results indicate that total food expenditures (proxy for income), age, household composition, sex, race, marital status, urbanization, region, and seasonality are all important determinants of fresh vegetable expenditures.

Suggested Citation

  • Reynolds, Anderson, 1990. "Analyzing Fresh Vegetable Consumption From Household Survey Data," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 22(2), pages 31-38, December.
  • Handle: RePEc:cup:jagaec:v:22:y:1990:i:02:p:31-38_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1074070800001772/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Yen, Steven T. & Su, Shew-Jiuan, 1995. "Modeling U.S. Butter Consumption With Zero Observations," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 24(1), pages 1-9, April.
    2. Russell N. James & Deanna L. Sharpe, 2007. "The “Sect Effect” in Charitable Giving: Distinctive Realities of Exclusively Religious Charitable Givers," American Journal of Economics and Sociology, Wiley Blackwell, vol. 66(4), pages 697-726, October.
    3. Jiang, Yuan & House, Lisa A. & Kim, Hyeyoung & Percival, Susan S., 2017. "Zero-inflated ordered probit approach to modeling mushroom consumption in the United States," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 20(5).
    4. Dhakal, Bhubaneswor & Bigsby, Hugh R. & Cullen, Ross, 2008. "Determinants of Forestry Investment and Extent of Forestry Expansion by Smallholders in New Zealand," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 4(1-2), pages 1-12.
    5. Lupín, Beatriz & Rodríguez, Elsa Mirta M., 2012. "Quality attributes and socio-demographic factors affecting channel choices," Nülan. Deposited Documents 1605, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    6. Lupin, Beatriz & Rodriguez, Elsa M., 2012. "Quality attributes and socio-demographic factors affecting channel choices," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126372, International Association of Agricultural Economists.
    7. Yen, Steven T. & Dellenbarger, Lynn E. & Schupp, Alvin R., 1995. "Determinants Of Participation And Consumption: The Case Of Crawfish In South Louisiana," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 27(1), pages 1-10, July.
    8. Balli Hatice Ozer & Kouhbor Mohammad Amin & Jean Louis Rosmy, 2017. "Towards Understanding Vegetables Consumption Behaviour in Iran: A Full Box-Cox Double-Hurdle Application," Review of Middle East Economics and Finance, De Gruyter, vol. 13(1), pages 1-12, April.
    9. Yu, Lingling & Hailu, Getu, 2010. "Household Demand for Convenience Chicken Meat Products in Canada," Consumer and Market Demand Network Papers 310299, University of Alberta, Department of Resource Economics and Environmental Sociology.
    10. Joshua Byrnes & Anthony Shakeshaft & Dennis Petrie & Christopher Doran, 2016. "Is response to price equal for those with higher alcohol consumption?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(1), pages 23-29, January.
    11. Tan, Andrew K. G. & Yen, Steven T. & Hasan, Abdul Rahman & Muhamed, Kamarudin, 2014. "Household Expenditures on Vegetables in Malaysia," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 46(4), pages 1-19, November.
    12. Madhavan-Nambiar, Padmanand & Florkowski, Wojciech J., 2013. "Peanut Paste/ Butter Consumption Frequency in the Republic of Uganda: Count Data Model Approach," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143051, Southern Agricultural Economics Association.

    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:cup:jagaec:v:22:y:1990:i:02:p:31-38_00. 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.

    We have no bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/aae .

    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.