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Analyzing Fresh Vegetable Consumption From Household Survey Data

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  • 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," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 22(02), December.
  • Handle: RePEc:ags:sojoae:30018
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    File URL: http://purl.umn.edu/30018
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    References listed on IDEAS

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    1. Salathe, Larry E., 1979. "Household Expenditure Patterns in the United States," Technical Bulletins 157844, United States Department of Agriculture, Economic Research Service.
    2. Smallwood, David M. & Blaylock, James R., 1984. "Household Expenditures for Fruits, Vegetables, and Potatoes," Technical Bulletins 157660, United States Department of Agriculture, Economic Research Service.
    3. Blundell, Richard & Meghir, Costas, 1987. "Bivariate alternatives to the Tobit model," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 179-200.
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    Cited by:

    1. 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.
    2. 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, Review of Applied Economics, vol. 4(1-2).
    3. 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.
    4. 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.
    5. 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(01), July.
    6. 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.
    7. repec:bpj:rmeecf:v:13:y:2017:i:1:p:12:n:1 is not listed on IDEAS

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