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Determining Implicit Prices for Hay Quality and Bale Characteristics

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  • Margaretha Rudstrom

Abstract

Markets for dairy quality hay have emerged as dairy farms purchase more feed off the farm. Previous research on hay markets used proxies for quality since objective measures of quality were unavailable. A hedonic pricing model incorporating direct measures of quality (moisture, crude protein, and relative feed value (RFV)), proxies (cutting), and bale-type variables was estimated using data from a hay auction. Large round and square bales and medium round bales were discounted relative to small square bales. The implicit price for RFV was $0.55/ton in 2001–02. Copyright 2004, Oxford University Press.

Suggested Citation

  • Margaretha Rudstrom, 2004. "Determining Implicit Prices for Hay Quality and Bale Characteristics," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 26(4), pages 552-562.
    • Handle: RePEc:oup:revage:v:26:y:2004:i:4:p:552-562
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    File URL: http://hdl.handle.net/10.1111/j.1467-9353.2004.00199.x
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    Cited by:

    1. 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.
    2. 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.
    3. Dant, Madeline & Burdine, Kenneth & Mark, Tyler, 2017. "Hedonic Price Analysis of Hay Auction Prices in Kentucky," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252762, Southern Agricultural Economics Association.
    4. Diersen, Matthew A., 2008. "Hay Price Forecasts at the State Level," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37600, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.

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