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Household Whole and Low Fat Milk Consumption in Poland: A Bivariate Two-part Model

Author

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  • Fu, Shengfei
  • Klepacka, Anna M.
  • Florkowski, Wojciech J.

Abstract

Milk products are a preeminent food category in Poland, providing both employment and dietary benefit. This paper investigates factors affecting household milk consumption in Poland, paying attention to the effect of outmigration. Bivariate two-part model analyzes actual milk spending and allows the dependence of whole and low-fat milk consumption decisions.

Suggested Citation

  • Fu, Shengfei & Klepacka, Anna M. & Florkowski, Wojciech J., 2014. "Household Whole and Low Fat Milk Consumption in Poland: A Bivariate Two-part Model," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162448, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea14:162448
    DOI: 10.22004/ag.econ.162448
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    References listed on IDEAS

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    1. Wales, T. J. & Woodland, A. D., 1983. "Estimation of consumer demand systems with binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 21(3), pages 263-285, April.
    2. J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
    3. Heien, Dale & Wessells, Cathy Roheim, 1990. "Demand Systems Estimation with Microdata: A Censored Regression Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 365-371, July.
    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. Dennis H. Gensch, 1987. "A Two-Stage Disaggregate Attribute Choice Model," Marketing Science, INFORMS, vol. 6(3), pages 223-239.
    6. Madden, David, 2008. "Sample selection versus two-part models revisited: The case of female smoking and drinking," Journal of Health Economics, Elsevier, vol. 27(2), pages 300-307, March.
    7. McFadden, Daniel, 1980. "Econometric Models for Probabilistic Choice among Products," The Journal of Business, University of Chicago Press, vol. 53(3), pages 13-29, July.
    8. Federico Perali & Jean-Paul Chavas, 2000. "Estimation of Censored Demand Equations from Large Cross-Section Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 1022-1037.
    9. Steven T. Yen, 2005. "A Multivariate Sample-Selection Model: Estimating Cigarette and Alcohol Demands with Zero Observations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 453-466.
    10. Leung, Siu Fai & Yu, Shihti, 1996. "On the choice between sample selection and two-part models," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 197-229.
    11. Stewart, Hayden & Yen, Steven T., 2004. "Changing household characteristics and the away-from-home food market: a censored equation system approach," Food Policy, Elsevier, vol. 29(6), pages 643-658, December.
    12. Lee, Lung-Fei & Pitt, Mark M, 1986. "Microeconometric Demand Systems with Binding Nonnegativity Constraints: The Dual Approach," Econometrica, Econometric Society, vol. 54(5), pages 1237-1242, September.
    13. Halvorsen, Robert & Palmquist, Raymond, 1980. "The Interpretation of Dummy Variables in Semilogarithmic Equations," American Economic Review, American Economic Association, vol. 70(3), pages 474-475, June.
    14. Nelson, Julie A, 1988. "Household Economies of Scale in Consumption: Theory and Evidence," Econometrica, Econometric Society, vol. 56(6), pages 1301-1314, November.
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    More about this item

    Keywords

    Agricultural and Food Policy; Consumer/Household Economics; Food Consumption/Nutrition/Food Safety; Research Methods/ Statistical Methods;
    All these keywords.

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