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Did the Voluntary Price Reporting System Fail to Provide Price Transparency in the Cash Market for Dressed Steers: Evidence from South Dakota

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Author Info

  • Fausti, S.W

    ()
    (Department of Economics, South Dakota State University)

  • Diersen, M.

    ()
    (Department of Economics, South Dakota State University)

Abstract

The information value of the former USDA voluntary price reporting system is investigated for dressed weight slaughter steers. The ability of the former system to promote market transparency and price discovery in the cash market is evaluated with state level mandatory price reporting data collected from September 1999 to April 2001. The empirical framework evaluates the informational value of public price reports according to the criteria established in the market integration literature. The empirical results indicate that in the cash market for dressed weight steers, in South Dakota and Nebraska the former voluntary price reporting system did foster market transparency and aided in the price discovery process.

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File URL: http://repec-sda.sdstate.edu/repec/sda/pdf/sp03-05.pdf
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Bibliographic Info

Paper provided by South Dakota State University, Department of Economics in its series Staff Papers with number 030001.

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Length: 21 pages
Date of creation: Jun 2003
Date of revision:
Handle: RePEc:sda:staffp:030001

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Postal: Box 504, Scobey Hall, Brookings, SD 57007-0895
Phone: 605-688-4141
Fax: 605-688-6386
Web page: http://www.sdstate.edu/econ/
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Keywords: grid pricing; price discovery; price reporting;

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  1. Azzeddine Azzam, 2003. "Market Transparency and Market Structure: The Livestock Mandatory Reporting Act of 1999," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 387-395.
  2. Lawrence, John D. & Shafer, John & Hayenga, Marvin L., 1996. "Valuing Public Price Reporting: The Iowa Experience," Staff General Research Papers 5148, Iowa State University, Department of Economics.
  3. Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
  4. Anderson, John D. & Ward, Clement E. & Koontz, Stephen R. & Peel, Derrell S. & Trapp, James N., 1998. "Experimental Simulation Of Public Information Impacts On Price Discovery And Marketing Efficiency In The Fed Cattle Market," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(01), July.
  5. McNew, Kevin & Fackler, Paul L., 1997. "Testing Market Equilibrium: Is Cointegration Informative?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 22(02), December.
  6. Savin, N Eugene & White, Kenneth J, 1978. "Testing for Autocorrelation with Missing Observations," Econometrica, Econometric Society, vol. 46(1), pages 59-67, January.
  7. Christopher B. Barrett & Jau Rong Li, 2002. "Distinguishing between Equilibrium and Integration in Spatial Price Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(2), pages 292-307.
  8. Lawrence, John D. & Shaffer, John A. & Hayenga, Marvin L., 1996. "Valuing Public Price Reporting: The Iowa Experience," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 14(1).
  9. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-72, June.
  10. Cheryl J. Wachenheim & Eric A. DeVuyst, 2001. "Strategic response to mandatory reporting legislation in the U.S. livestock and meat industries: Are collusive opportunities enhanced?," Agribusiness, John Wiley & Sons, Ltd., vol. 17(2), pages 177-195.
  11. Bastian, Christopher T. & Koontz, Stephen R. & Menkhaus, Dale J., 2001. "Will Mandatory Price Reporting Improve Pricing And Production Efficiency In An Experimental Market For Fed Cattle?," 2001 Conference, April 23-24, 2001, St. Louis, Missouri 18969, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
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