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Characteristic Supplies and Demands in a Hedonic Framework: U.S. Market for Cotton Fiber Attributes

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  • Bowman Kenneth R.
  • Don E. Ethridge

Abstract

Hedonic price analysis has frequently been used to determine agricultural commodity characteristics' values. While hedonic price theory consists of a two-stage process, second-stage commodity characteristics' equations have not been successfully estimated until now. The estimated system consisted of 11 first-stage equations to determine cotton characteristics' values. The second stage consisted of 24 characteristic demand and 20 characteristic supply equations to model the underlying characteristic market structure. Cotton characteristic values were shown to vary across regions and over time as characteristic supplies and demands varied.

Suggested Citation

  • Bowman Kenneth R. & Don E. Ethridge, 1992. "Characteristic Supplies and Demands in a Hedonic Framework: U.S. Market for Cotton Fiber Attributes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(4), pages 991-1002.
    • Handle: RePEc:oup:ajagec:v:74:y:1992:i:4:p:991-1002.
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    1. Herrmann, Roland & Roeder, Claudia, 1998. "Some neglected issues in food demand analysis: retail-level demand, health information and product quality," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(4), pages 1-27.
    2. Waseem AHMAD* & Tanvir AHMED** & Bashir AHMAD***, 2017. "HEDONIC PRICING OF MILK AT RETAIL LEVEL: A Case of Faisalabad, Pakistan," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 27(1), pages 29-39.
    3. Teuber, Ramona, 2010. "Estimating the Demand for Sensory Quality – Theoretical Considerations and an Empirical Application to Specialty Coffee," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 59(03), pages 1-14, September.
    4. Brown, Jeff E. & Ethridge, Don E. & Hudson, Darren & Engels, Carlos, 1995. "An Automated Econometric Approach for Estimating and Reporting Daily Cotton Market Prices," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 27(2), pages 409-422, December.
    5. Curtis, Kynda R. & Cowee, Margaret W. & Kim, Man-Keun & Harris, Thomas R., 2010. "Evaluating Returns to Cool Season Grass Quality Characteristics for Niche Equine Feed Markets," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 28(1), pages 1-18.
    6. Schulz, Lee L. & Schroeder, Ted C. & White, Katharine L., 2012. "Value of Beef Steak Branding: Hedonic Analysis of Retail Scanner Data," Agricultural and Resource Economics Review, Cambridge University Press, vol. 41(2), pages 260-273, August.
    7. Dadi Kristofersson & Kyrre Rickertsen, 2004. "Efficient Estimation of Hedonic Inverse Input Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1127-1137.
    8. Cecilia Hammarlund, 2015. "The Big, the Bad, and the Average: Hedonic Prices and Inverse Demand for Baltic Cod," Marine Resource Economics, University of Chicago Press, vol. 30(2), pages 157-177.
    9. Rimal, Arbindra & Perkins, Tommy & Paschal, Joe C., 2003. "Relationship Between Attributes Of Beef Cattle Raised Using Ultrasound Technology And Prices Received At The Packers: A Hedonic Price Analysis," 2003 Annual meeting, July 27-30, Montreal, Canada 22090, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Wilson, Norbert, 2014. "When Higher Quality Does Not Translate to Higher Prices: A Case of Quality and Specialty Coffees from the Cup of Excellence Auctions," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170701, Agricultural and Applied Economics Association.
    11. Teuber, Ramona, 2010. "Estimating the Demand for Sensory Quality – Theoretical Considerations and an Empirical Application to Specialty Coffee," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 59(3).
    12. Barnes, Kenneth R. & Franken, Jason R. & Wolfskill, L.A. & Nair, Shyam S. & Mills, Foy D. Jr. & Ullrich, Doug R., 2016. "White-tailed Deer Semen Auction Data: A Hedonic Analysis," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230022, Southern Agricultural Economics Association.
    13. Richards, Timothy J. & Jeffrey, Scott R., 1995. "Hedonic Pricing of Dairy Bulls - An Alternative Index of Genetic Merit," Project Report Series 24035, University of Alberta, Department of Resource Economics and Environmental Sociology.
    14. Larkin, Sherry L. & Sylvia, Gilbert, 1998. "Firm-Level Hedonic Analyses Of U.S. Produced Surimi: Implications For Processors And Resource Managers," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20916, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Pandit, Ram & Polyakov, Maksym & Sadler, Rohan, 2012. "The importance of tree cover and neighbourhood parks in determining urban property values," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124357, Australian Agricultural and Resource Economics Society.
    16. Eilson, Norbert L.W., 2015. "When Higher Quality Does Not Translate to Higher Prices: A Case of Quality and Specialty Coffees from the Cup of Excellence Auctions," 2015 Conference, August 9-14, 2015, Milan, Italy 211898, International Association of Agricultural Economists.
    17. Nolan, Elizabeth & Farrell, Terence & Ryan, Madeleine & Gibbon, Candice & Ahmadi-Esfahani, Fredoun Z., 2014. "Valuing quality attributes of Australian merino wool," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(3), July.
    18. Kolodinsky, Jane, 2008. "Affect or information? Labeling policy and consumer valuation of rBST free and organic characteristics of milk," Food Policy, Elsevier, vol. 33(6), pages 616-623, December.

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