IDEAS home Printed from https://ideas.repec.org/p/ags/nccc20/309639.html

Quality Forecasts: Predicting When and How Much Markets Value Higher Protein Wheat

Author

Listed:
  • Bekkerman, Anton
  • Worley, R. Trey

Abstract

Wheat markets stand out among other major crop commodity markets because pricing at the first point of exchange—typically a grain handling facility—is differentiated on specific quality characteristics. Moreover, the premiums and discounts that elevators offer to obtain grain of specific quality can be significant. Despite the relative importance of quality premiums and discounts to farm-level production and marketing decisions, almost no research has examined the factors underlying wheat quality pricing schedules. This study develops an informed expectation model of elevators’ quality-based pricing strategies and empirically estimates the model a lengthy dataset of weekly price observations. As such, this research provides the first step toward developing a more accurate understanding of the wheat market and an opportunity to develop price forecasts as a function of wheat quality.

Suggested Citation

  • Bekkerman, Anton & Worley, R. Trey, 2020. "Quality Forecasts: Predicting When and How Much Markets Value Higher Protein Wheat," 2020 Conference, St. Louis, Missouri 309639, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
  • Handle: RePEc:ags:nccc20:309639
    DOI: 10.22004/ag.econ.309639
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/309639/files/Bekkerman_Worley_NCCC-134_2020.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.309639?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. Anton Bekkerman, 2011. "Time‐varying hedge ratios in linked agricultural markets," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(2), pages 179-200, August.
    2. Angrist, Joshua D, 2001. "Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 27-28, January.
    3. Anton Bekkerman, 2011. "Time‐varying hedge ratios in linked agricultural markets," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(2), pages 179-200, August.
    4. Goodwin, Barry K. & Smith, Vincent H., 2009. "Harvest-Time Protein Shocks and Price Adjustment in U.S. Wheat Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 34(2), pages 1-19, August.
    5. Miao, Ruiqing & Hennessy, David A. & Feng, Hongli, 2016. "The Effects of Crop Insurance Subsidies and Sodsaver on Land-Use Change," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(2), May.
    6. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    7. Katz, Ethan, 2001. "Bias in Conditional and Unconditional Fixed Effects Logit Estimation," Political Analysis, Cambridge University Press, vol. 9(4), pages 379-384, January.
    8. William W. Wilson & Bruce L. Dahl, 2011. "Grain contracting strategies: the case of durum wheat," Agribusiness, John Wiley & Sons, Ltd., vol. 27(3), pages 344-359, June.
    9. William Greene, 2004. "The behaviour of the maximum likelihood estimator of limited dependent variable models in the presence of fixed effects," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 98-119, June.
    10. Angrist, Joshua D, 2001. "Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 2-16, January.
    11. William W. Wilson & Dragan Miljkovic, 2013. "Dynamic Interrelationships in Hard Wheat Basis Markets," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 61(3), pages 397-416, September.
    12. Ruiqing Miao & David A. Hennessy, 2015. "Optimal Protein Segregation Strategies for Wheat Growers," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(3), pages 309-331, September.
    13. Hennessy, David A., 1996. "Economics of Purifying and Blending, The," Staff General Research Papers Archive 5261, Iowa State University, Department of Economics.
    14. Goldfeld, Stephen M. & Quandt, Richard E., 1973. "A Markov model for switching regressions," Journal of Econometrics, Elsevier, vol. 1(1), pages 3-15, March.
    Full references (including those not matched with items on IDEAS)

    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. Anton Bekkerman, 2021. "Quality forecasts: Predicting when and how much markets value higher‐protein wheat," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(4), pages 465-490, December.
    2. Bekkerman, Anton, "undated". "Quality Forecasts: Predicting When and How Much Markets Value Higher Protein Wheat," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259119, Agricultural and Applied Economics Association.
    3. Nathaniel Beck, 2018. "Estimating grouped data models with a binary dependent variable and fixed effects: What are the issues," Papers 1809.06505, arXiv.org.
    4. Giuseppe Moscelli & Hugh Gravelle & Luigi Siciliani, 2018. "Effects of Market Structure and Patient Choice on Hospital Quality for Planned Patients," School of Economics Discussion Papers 1118, School of Economics, University of Surrey.
    5. Ivan Fernandez-Val, 2005. "Estimation of Structural Parameters and Marginal Effects in Binary Choice Panel Data Models with Fixed Effects," Boston University - Department of Economics - Working Papers Series WP2005-38, Boston University - Department of Economics.
    6. Giuseppe Moscelli & Hugh Gravelle & Luigi Siciliani, 2021. "Hospital competition and quality for non‐emergency patients in the English NHS," RAND Journal of Economics, RAND Corporation, vol. 52(2), pages 382-414, June.
    7. Fernández-Val, Iván & Vella, Francis, 2011. "Bias corrections for two-step fixed effects panel data estimators," Journal of Econometrics, Elsevier, vol. 163(2), pages 144-162, August.
    8. Fernández-Val, Iván, 2009. "Fixed effects estimation of structural parameters and marginal effects in panel probit models," Journal of Econometrics, Elsevier, vol. 150(1), pages 71-85, May.
    9. Qin, Bo & Yang, Lu, 2022. "CSR contracting and performance-induced CEO turnover," Journal of Corporate Finance, Elsevier, vol. 73(C).
    10. Möhring, Niklas & Dalhaus, Tobias & Enjolras, Geoffroy & Finger, Robert, 2020. "Crop insurance and pesticide use in European agriculture," Agricultural Systems, Elsevier, vol. 184(C).
    11. Lu, Xinjie & Su, Yuandong & Huang, Dengshi, 2023. "Chinese agricultural futures volatility: New insights from potential domestic and global predictors," International Review of Financial Analysis, Elsevier, vol. 89(C).
    12. Fabrizio Rossi & Maretno Agus Harjoto, 2020. "Corporate non-financial disclosure, firm value, risk, and agency costs: evidence from Italian listed companies," Review of Managerial Science, Springer, vol. 14(5), pages 1149-1181, October.
    13. Xi, Xiaojing & Mamon, Rogemar, 2011. "Parameter estimation of an asset price model driven by a weak hidden Markov chain," Economic Modelling, Elsevier, vol. 28(1-2), pages 36-46, January.
    14. Bandiera, Oriana. & Buehren, Niklas. & Burgess, Robin & Goldstein, Markus P., & Gulesci, Selim. & Rasul, Imran. & Sulaiman, Munshi., 2015. "Women’s economic empowerment in action : evidence from a randomized control trial in Africa," ILO Working Papers 994874053402676, International Labour Organization.
    15. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    16. Nemati, Mehdi & Saghaian, Sayed H., 2016. "Dynamics of Price Adjustment in Qualitatively Differentiated Markets in the U.S.: The Case of Organic and Conventional Apples," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229950, Southern Agricultural Economics Association.
    17. Adriana D. Kugler & Robert M. Sauer, 2005. "Doctors without Borders? Relicensing Requirements and Negative Selection in the Market for Physicians," Journal of Labor Economics, University of Chicago Press, vol. 23(3), pages 437-466, July.
    18. Kunxi Nie & Yueji Zhu, 2025. "Internet access, female’s non-farm employment, and income effects: insights from China," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 13(1), pages 1-29, December.
    19. Rehim Kılıç, 2025. "Linear and nonlinear econometric models against machine learning models: realized volatility prediction," Finance and Economics Discussion Series 2025-061, Board of Governors of the Federal Reserve System (U.S.).
    20. Axel Dreher, 2004. "The Influence of IMF Programs on the Re‐election of Debtor Governments," Economics and Politics, Wiley Blackwell, vol. 16(1), pages 53-76, March.

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    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:nccc20:309639. 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://legacy.farmdoc.illinois.edu/nccc134/index.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.