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Will Changing Demographics Affect U.S. Cheese Demand?

  • Davis, Christopher G.
  • Blayney, Donald P.
  • Dong, Diansheng
  • Yen, Steven T.
  • Johnson, Rachel J.

U.S. cheese consumption has grown considerably over the last three decades. Using a censored demand model and Nielsen Homescan retail data, this study identifies price and non-price factors affecting the demand for differentiated cheese products. Own-price and expenditure elasticities for all of the cheese products are statistically significant and elastic. Results also reveal that a strong substitution relationship exists among all cheese products. Although demographic influences are generally smaller than those related to prices and expenditures, empirical findings show that household size, college educated female heads of household who are age 40 and older, residing in the South, Central, and Western regions of the United States, as well as Black heads of household, have positive statistically significant effects on consumers’ cheese purchases.

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File URL: http://purl.umn.edu/104621
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Article provided by Southern Agricultural Economics Association in its journal Journal of Agricultural and Applied Economics.

Volume (Year): 43 (2011)
Issue (Month): 02 (May)
Pages:

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Handle: RePEc:ags:joaaec:104621
Contact details of provider: Web page: http://www.saea.org/jaae/jaae.htm

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  1. Abdoul G. Sam & Yi Zheng, 2010. "Semiparametric Estimation of Consumer Demand Systems with Micro Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 246-257.
  2. Van Soest, Arthur & Kooreman, Peter, 1990. "Coherency of the indirect translog demand system with binding nonnegativity constraints," Journal of Econometrics, Elsevier, vol. 44(3), pages 391-400, June.
  3. Lee, Lung-Fei & Pitt, Mark M, 1986. "Microeconometric Demand Systems with Binding Nonnegativity Constraints: The Dual Approach," Econometrica, Econometric Society, vol. 54(5), pages 1237-42, September.
  4. Maynard, Leigh J. & Liu, Deyu, 1999. "Fragility In Dairy Product Demand Analysis," 1999 Annual meeting, August 8-11, Nashville, TN 21679, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  5. Ransom, Michael R., 1987. "A comment on consumer demand systems with binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 34(3), pages 355-359, March.
  6. Yen, Steven T. & Lin, Biing-Hwan, 2004. "A Sample Selection Approach To Censored Demand Systems," 2004 Annual meeting, August 1-4, Denver, CO 20082, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  7. Maynard, Leigh J., 2000. "Sources Of Irreversible Consumer Demand In U.S. Dairy Products," 2000 Annual meeting, July 30-August 2, Tampa, FL 21876, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  8. Phaneuf, Daniel J. & Kling, Catherine L. & Herriges, Joseph A., 2000. "Estimation and Welfare Calculations in a Generalized Corner Solution Model with an Application to Recreation Demand," Staff General Research Papers 1355, Iowa State University, Department of Economics.
  9. 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.
  10. Bergtold, Jason S. & Akobundu, Eberechukwu & Peterson, Everett B., 2003. "The Fast Method: Estimating Unconditional Demand Elasticities For Processed Food In The Presence Of Fixed Effects," 2003 Annual meeting, July 27-30, Montreal, Canada 21893, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  11. Steven T. Yen & Biing-Hwan Lin & David M. Smallwood, 2003. "Quasi- and Simulated-Likelihood Approaches to Censored Demand Systems: Food Consumption by Food Stamp Recipients in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 458-478.
  12. 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.
  13. 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.
  14. Diansheng Dong & Brian W. Gould & Harry M. Kaiser, 2004. "Food Demand in Mexico: An Application of the Amemiya-Tobin Approach to the Estimation of a Censored Food System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1094-1107.
  15. Amos Golan & Jeffrey M. Perloff & Edward Z. Shen, 2001. "Estimating A Demand System With Nonnegativity Constraints: Mexican Meat Demand," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 541-550, August.
  16. Todd M. Schmit & Harry M. Kaiser, 2004. "Decomposing the Variation in Generic Advertising Response over Time," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 139-153.
  17. David E. Sahn, 2005. "Consistent Estimation of Censored Demand Systems Using Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 660-672.
  18. Steven T. Yen & Andrew M. Jones, 1997. "Household Consumption of Cheese: An Inverse Hyperbolic Sine Double-Hurdle Model with Dependent Errors," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 246-251.
  19. Schmit, Todd M. & Chung, Chanjin & Dong, Diansheng & Kaiser, Harry M. & Gould, Brian W., 2000. "The Effect Of Generic Dairy Advertising On The Household Demand For Milk And Cheese," 2000 Annual meeting, July 30-August 2, Tampa, FL 21775, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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