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Orange Juice Coupon Redemption

Author

Listed:
  • Brown, Mark G.
Abstract
The Poisson regression model was used to estimate the relationship between the number of times a household uses orange juice coupons annually and selected household variables -- education, employment, family composition, race, and income. The estimated model reflects the consumption - leisure choice involved with using coupons and preferences for shopping frequency.

Suggested Citation

  • Brown, Mark G., 1986. "Orange Juice Coupon Redemption," 1986 Annual Meeting, July 27-30, Reno, Nevada 278460, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea86:278460
    DOI: 10.22004/ag.econ.278460
    as

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    File URL: https://ageconsearch.umn.edu/record/278460/files/aaea-1986-163.pdf
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    References listed on IDEAS

    as
    1. Ronald W. Ward & James E. Davis, 1978. "A Pooled Cross-Section Time Series Model of Coupon Promotions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 60(3), pages 393-401.
    2. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    3. Marlow, Michael L & Link, John P & Trost, Robert P, 1984. "Market Structure and Rivalry: New Evidence with a Non-linear Model," The Review of Economics and Statistics, MIT Press, vol. 66(4), pages 678-682, November.
    4. Terza, Joseph V., 1985. "A Tobit-type estimator for the censored Poisson regression model," Economics Letters, Elsevier, vol. 18(4), pages 361-365.
    5. Jonq-Ying Lee & Mark G. Brown, 1985. "Coupon Redemption and the Demand for Frozen Concentrated Orange Juice: A Switching Regression Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(3), pages 647-653.
    Full references (including those not matched with items on IDEAS)

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