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Analysis Of Alcohol Consumption In The United States: Probability And Level Of Intake

Author

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  • Nayga, Rodolfo M., Jr.
  • Capps, Oral, Jr.
Abstract
This article examines the impact of socio-demographic factors on individual consumption of alcohol in the United States using the Heckman procedure and logit analysis. Factors considered are urbanization, race, ethnicity, region, weight, height, sex, food stamp participation, employment status, diet status, day of consumption, household size, age, and income. All the variables, with the exception of ethnicity and food stamp participation, significantly influence the decision to consume alcohol. Results also indicate that urbanization, region, sex, food stamp participation, and household size significantly affect the level of alcohol consumption.

Suggested Citation

  • Nayga, Rodolfo M., Jr. & Capps, Oral, Jr., 1994. "Analysis Of Alcohol Consumption In The United States: Probability And Level Of Intake," Journal of Food Distribution Research, Food Distribution Research Society, vol. 25(2), pages 1-7, September.
    • Handle: RePEc:ags:jlofdr:27601
    DOI: 10.22004/ag.econ.27601
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    File URL: https://ageconsearch.umn.edu/record/27601/files/25020017.pdf
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    References listed on IDEAS

    as
    1. Danko, William D. & Schaninger, Charles M., 1990. "An empirical evaluation of the Gilly-Enis updated household life cycle model," Journal of Business Research, Elsevier, vol. 21(1), pages 39-57, August.
    2. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    3. Lutz, Steven M. & Smallwood, David M. & Blaylock, James R. & Hama, Mary Y., 1992. "Changes in Food Consumption and Expenditures in American Households During the 1980's," Statistical Bulletin 154791, United States Department of Agriculture, Economic Research Service.
    4. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    5. Capps, Oral, Jr. & Cheng, Hsiang-Tai, 1986. "The Missing Income Problem In The Analyses Of Engel Functions," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 11(1), pages 1-9, July.
    6. Noel Blisard & James Blaylock, 1993. "Distinguishing between Market Participation and Infrequency of Purchase Models of Butter Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(2), pages 314-320.
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    Cited by:

    1. Andrew Tan & Steven Yen & Rodolfo Nayga, 2009. "Factors Affecting Alcohol Purchase Decisions and Expenditures: A Sample Selection Analysis by Ethnicity in Malaysia," Journal of Family and Economic Issues, Springer, vol. 30(2), pages 149-159, June.
    2. Rodriguez, Nestor & Eales, James S., 2015. "Structural Change via Threshold Effects: Estimating U.S. Meat Demand Using Smooth Transition Functions and the Effects of More Women in the Labor Force," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206522, Agricultural and Applied Economics Association.

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