IDEAS home Printed from https://ideas.repec.org/p/ags/nccsci/37579.html
   My bibliography  Save this paper

The Impact of Measurement Error on Estimates of the Price Reaction to USDA Crop Reports

Author

Listed:
  • Aulerich, Nicole M.
  • Irwin, Scott H.
  • Nelson, Carl H.

Abstract

This paper investigates the impact of USDA crop production reports in corn and soybean futures markets. The analysis is based on all corn and soybean production reports released over 1970-2006. The empirical analysis compares the typical OLS event study approach to the new Identification by Censoring (ITC) technique. Corn and soybean production reports are analyzed both separately and together for impact in corn and soybean futures prices. ITC proves to be the more useful method because it avoids the pitfalls of errors in variables that cause downward bias in OLS coefficients. Price reaction coefficients estimated via ITC are one to four times larger than OLS estimates for a one price and one event analysis. In the two price, two event case, ITC estimates are one to six times larger. Market reaction to the unanticipated information in USDA forecasts is substantially larger than estimated in previous studies.

Suggested Citation

  • Aulerich, Nicole M. & Irwin, Scott H. & Nelson, Carl H., 2007. "The Impact of Measurement Error on Estimates of the Price Reaction to USDA Crop Reports," 2007 Conference, April 16-17, 2007, Chicago, Illinois 37579, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
  • Handle: RePEc:ags:nccsci:37579
    DOI: 10.22004/ag.econ.37579
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/37579/files/confp23-07.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.37579?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jerry Hausman, 2001. "Mismeasured Variables in Econometric Analysis: Problems from the Right and Problems from the Left," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 57-67, Fall.
    2. Philip Garcia, 2004. "A selected review of agricultural commodity futures and options markets," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 31(3), pages 235-272, September.
    3. Olga Isengildina & Scott H. Irwin & Darrel L. Good, 2006. "Are Revisions to USDA Crop Production Forecasts Smoothed?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(4), pages 1091-1104.
    4. Roberto Rigobon & Brian Sack, 2008. "Noisy Macroeconomic Announcements, Monetary Policy, and Asset Prices," NBER Chapters, in: Asset Prices and Monetary Policy, pages 335-370, National Bureau of Economic Research, Inc.
    5. Orazem, Peter & Baur, Robert F., 1994. "The Rationality and Price Effects of Usda Forecasts of Oranges," Staff General Research Papers Archive 11133, Iowa State University, Department of Economics.
    6. Garcia, Philip & Irwin, Scott H. & Leuthold, Raymond M. & Yang, Li, 1997. "The value of public information in commodity futures markets," Journal of Economic Behavior & Organization, Elsevier, vol. 32(4), pages 559-570, April.
    7. Falk, Barry L. & Orazem, Peter, 1989. "Measuring Market Responses to Error-Ridden Government Announcements," Staff General Research Papers Archive 11096, Iowa State University, Department of Economics.
    8. Good, Darrel L. & Irwin, Scott H., 2006. "Understanding USDA Corn and Soybean Production Forecasts: Methods, Performance and Market Impacts over 1970 - 2005," AgMAS Project Research Reports 37514, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    9. Carter, Colin A., 1999. "Commodity futures markets: a survey," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 43(2), pages 1-39, June.
    10. Egelkraut, Thorsten M. & Garcia, Philip & Irwin, Scott H. & Good, Darrel L., 2003. "An Evaluation of Crop Forecast Accuracy for Corn and Soybeans: USDA and Private Information Agencies," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 35(1), pages 1-17, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bahram Sanginabadi, 2018. "USDA Forecasts: A meta-analysis study," Papers 1801.06575, arXiv.org.
    2. Berna Karali & Scott H. Irwin & Olga Isengildina‐Massa, 2020. "Supply Fundamentals and Grain Futures Price Movements," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 548-568, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Berna Karali & Scott H. Irwin & Olga Isengildina‐Massa, 2020. "Supply Fundamentals and Grain Futures Price Movements," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 548-568, March.
    2. Olga Isengildina-Massa & Berna Karali & Scott H Irwin, 2017. "Do Markets Correct for Smoothing in USDA Crop Production Forecasts? Evidence from Private Analysts and Futures Prices," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 39(4), pages 559-583.
    3. MacDonald, Stephen & Ash, Mark & Cooke, Bryce, 2017. "The Evolution of Inefficiency in USDA’s Forecasts of U.S. and World Soybean Markets," MPRA Paper 87545, University Library of Munich, Germany.
    4. Frank, Julieta & Garcia, Philip & Irwin, Scott H., 2008. "To What Surprises Do Hog Futures Markets Respond?," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 40(1), pages 73-87, April.
    5. Ying, Jiahui & Shonkwiler, J. Scott, 2017. "A Temporal Impact Assessment Method for the Informational Content of USDA Reports in Corn and Soybean Futures Markets," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258201, Agricultural and Applied Economics Association.
    6. Michael K Adjemian & Robert Johansson & Andrew McKenzie & Michael Thomsen, 2018. "Was the Missing 2013 WASDE Missed?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 40(4), pages 653-671, December.
    7. Christophe Gouel, 2020. "The Value of Public Information in Storable Commodity Markets: Application to the Soybean Market," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(3), pages 846-865, May.
    8. Bahram Sanginabadi, 2018. "USDA Forecasts: A meta-analysis study," Papers 1801.06575, arXiv.org.
    9. Good, Darrel L. & Irwin, Scott H., 2006. "Understanding USDA Corn and Soybean Production Forecasts: Methods, Performance and Market Impacts over 1970 - 2005," AgMAS Project Research Reports 37514, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    10. Isengildina, Olga & Irwin, Scott H. & Good, Darrel L., 2004. "Does The Market Anticipate Smoothing In Usda Crop Production Forecasts?," 2004 Annual meeting, August 1-4, Denver, CO 20145, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Isengildina-Massa, Olga & Cao, Xiang & Karali, Berna & Irwin, Scott H. & Adjemian, Michael & Johansson, Robert C., 2021. "When does USDA information have the most impact on crop and livestock markets?," Journal of Commodity Markets, Elsevier, vol. 22(C).
    12. Hedtrich, F. & Loy, J.-P. & Müller, R.A.E., 2010. "Prognosen auf Agrarmärkten: Prediction Markets – eine innovative Prognosemethode auch für die Landwirtschaft?," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 45, March.
    13. Xiao, Jinzhi & Lence, Sergio H. & Hart, Chad, 2014. "Usda And Private Analysts' Forecasts Of Ending Stocks: How Good Are They?," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170642, Agricultural and Applied Economics Association.
    14. Scott H. Irwin & Dwight R. Sanders, 2011. "Index Funds, Financialization, and Commodity Futures Markets," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(1), pages 1-31.
    15. Karali, Berna & Isengildina-Massa, Olga & Irwin, Scott H. & Adjemian, Michael K. & Johansson, Robert, 2019. "Are USDA reports still news to changing crop markets?," Food Policy, Elsevier, vol. 84(C), pages 66-76.
    16. Joshua Huang & Teresa Serra & Philip Garcia, 2021. "The Value of USDA Announcements in the Electronically Traded Corn Futures Market: A Modified Sufficient Test with Risk Adjustments," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(3), pages 712-734, September.
    17. Georg Lehecka, 2015. "Do hedging and speculative pressures drive commodity prices, or the other way round?," Empirical Economics, Springer, vol. 49(2), pages 575-603, September.
    18. Jędrzej Białkowski & Martin T. Bohl & Devmali Perera, 2022. "Commodity Futures Hedge Ratios: A Meta-Analysis," Working Papers in Economics 22/12, University of Canterbury, Department of Economics and Finance.
    19. Białkowski, Jędrzej & Bohl, Martin T. & Perera, Devmali, 2023. "Commodity futures hedge ratios: A meta-analysis," Journal of Commodity Markets, Elsevier, vol. 30(C).
    20. Adrian Fernandez‐Perez & Bart Frijns & Ivan Indriawan & Alireza Tourani‐Rad, 2019. "Surprise and dispersion: informational impact of USDA announcements," Agricultural Economics, International Association of Agricultural Economists, vol. 50(1), pages 113-126, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:nccsci:37579. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/dauiuus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.