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Reputation Selling in Feeder Cattle Teleauctions

Author

Listed:
  • Steven C. Turner
  • John McKissick
  • Nancy S. Dykes

Abstract

Recent research to identify significant factors that influence feeder cattle prices has focused on cattle and market characteristics. The research reported here used data from Georgia teleauctions during the 1977 to 1988 period to determine the possible impact of seller's reputation on price. Both significant premium and discount sellers were identified for two of the three teleauction organizers. The teleauction organization that transferred the least amount of information about the cattle had the greatest number of reputation sellers while the organization with the most information about sellers' cattle given to buyers registered no significant seller reputations. Reputations can help buyers estimate quality in the absence of complete information.

Suggested Citation

  • Steven C. Turner & John McKissick & Nancy S. Dykes, 1993. "Reputation Selling in Feeder Cattle Teleauctions," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 15(1), pages 9-19.
  • Handle: RePEc:oup:revage:v:15:y:1993:i:1:p:9-19.
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    File URL: http://hdl.handle.net/10.2307/1349708
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    Citations

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    Cited by:

    1. Baggett, Hub B. IV & Ward, Clement E. & Child, Dan M., 2002. "Efficiency Of Market Price Signals For Feeder Cattle Frame Size And Muscling," 2002 Annual Meeting, July 28-31, 2002, Long Beach, California 36661, Western Agricultural Economics Association.
    2. Yeboah, Godfred, 1999. "Estimating the value of "Source Verification" in Iowa feeder cattle markets," ISU General Staff Papers 1999010108000018186, Iowa State University, Department of Economics.
    3. Calil, Yuri Clements Daglia & Ribera, Luis A. & Anderson, David P. & Koury Filho, William, 2022. "Pure-bred Nellore Prices in Brazil: Morphological, Genetic, Physical, and Market Factors in Auctions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 47(3), September.
    4. Pierce, Vern L. & Parcell, Joseph L. & Randle, Richard & Patterson, David J., 1999. "Determinants Of Sale Price And Farm Value In The Missouri Show-Me Select Replacement Heifer Program," 1999 Annual meeting, August 8-11, Nashville, TN 21545, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Dhuyvetter, Kevin C. & Schroeder, Ted C. & Simms, Danny D. & Bolze, Ronald P., Jr. & Geske, Jeremy, 1996. "Determinants Of Purebred Beef Bull Price Differentials," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(2), pages 1-15, December.
    6. Parcell, Joseph L. & Dhuyvetter, Kevin C. & Patterson, David J. & Randle, Richard, 2005. "The Value of Carcass Characteristic EPDs in Bred Heifer Price," 2005 Conference, April 18-19, 2005, St. Louis, Missouri 19041, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    7. Baggett, Hub B. IV & Ward, Clement E. & Childs, M. Dan, 2004. "Effects of Feeder Cattle Grades on Performance and Net Return," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2004, pages 1-6.
    8. Allan F. Pinto & Brittney K. Goodrich & William Kelley & Max Runge, 2023. "Price determinants of bred heifers: Do reputations matter?," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 71(1), pages 5-23, March.
    9. Avent, R. Keith & Ward, Clement E. & Lalman, David L., 2004. "Market Valuation of Preconditioning Feeder Calves," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 36(1), pages 1-11, April.
    10. Leslie J. Verteramo Chiu & Loren W. Tauer & Yrjo T. Gröhn, 2022. "Pricing efficiency in livestock auction markets: A two‐tier frontier approach," Agricultural Economics, International Association of Agricultural Economists, vol. 53(S1), pages 139-151, November.

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