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Analyzing Fresh Vegetable Consumption From Household Survey Data

Published online by Cambridge University Press:  09 September 2016

Anderson Reynolds*
Affiliation:
Department of Agricultural Economics at the, University of Guelph

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.

Type
Articles
Copyright
Copyright © Southern Agricultural Economics Association 1990

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References

Amemiya, T. “Tobit Models: A Survey”. Econometrics. 24(1984):361.Google Scholar
Berndt, E. Hall, B., and Hausman, J.. “Estimation and Inference in Nonlinear Structural Models”. Ann. Econ. Social Meas. 3(1974):653665.Google Scholar
Blaylock, J.R. and Smallwood, D.M.. “U.S. Demand for Food: Household Expenditures, Demographics, and Projections”. Washington, DC: USDAERS Technical Bulletin No. 1713, February, 1986.Google Scholar
Blundell, R. and Meghir, C.. “Bivariate Alternatives to the Tobit Model”. J. Econometrics. 34(1987): 1979-2000.Google Scholar
Capps, O. Jr and Love, J.M.. “Determinants of Household Expenditure on Fresh Vegetables”. So. J. Agr. Econ. 15(1983): 127132.Google Scholar
Cragg, J.G. “Some Statistical Models for Limited Dependent Variables with Applications to the Demand for Durable Goods”. Econometrica. 39(1971):829844.Google Scholar
L.E., Edlefsen, and Jones, S.D.. Gauss Version 1.28 Washington: Applied Technical Systems, Inc., 1985.Google Scholar
Haines, P.S. Guilkey, D.K., and Popkin, B.M.. “Modeling Food Consumption Decisions as a Two Step Process”. Am. J. Agr. Econ. 70(1988):543552.Google Scholar
Huang, C.L. Fletcher, S.M., and Raunikar, R.. “Modeling the Effects of the Food Stamp Program on Participating Households' Purchases: An Empirical Application”. So. J. Agr. Econ. 13(1981):2733.Google Scholar
Judge, G. Griffiths, W., Hill, R., Lutkepohl, H., and Lee, T.. The Theory and Practice of Econometrics. New York: Wiley, 1985.Google Scholar
Matsumoto, M. “Interregional Variation in Food Expenditure Patterns of Low-Income Households”. Washington, DC: USDA Economic Research Service National Economics Division, June, 1984.Google Scholar
Reynolds, A. “An Econometric Analysis of Fresh Winter Vegetable Consumption: Extensions of the Tobit Model.” Unpublished Ph.D. Dissertation, University of Florida, 1989.Google Scholar
Salathe, L.E. “Household Expenditure Patterns in the United States.” USDA Econ. Stat. Coop. Service Technical Bulletin No. 1603, April, 1979.Google Scholar
Smallwood, D.M. and Blaylock, J.R.. “Household Expenditures for Fruits, Vegetables and Potatoes”. Washington, DC: USDAERS Technical Bulletin No. 1650, May, 1984.Google Scholar
Tobin, J. “Estimation of Relationships for Limited Dependent Variables”. Econometrica. 26(1958):2436.Google Scholar
U.S. Department of Labor, Bureau of Labor Statistics. Consumer Expenditure Survey: (Interview Survey/Dairy Survey), Washington DC: U.S. Government Printing Office, 1980-1985.Google Scholar