IDEAS home Printed from https://ideas.repec.org/p/ags/aaea15/205686.html
   My bibliography  Save this paper

Dynamic Relationships and Price Discovery of Western Alfalfa Markets

Author

Listed:
  • Tejeda, Hernan A.
  • Kim, Man-Keun
  • Feuz, Dillon M.

Abstract

Alfalfa hay exports have substantially increased since 2007 with 99% being shipped from western ports (Putnam et al., 2013), and likely more than 95% of it originating from seven western states (Putnam et al., 2015). This paper determines the dynamic price relationships among alfalfa markets in those western states. Of particular interest is to identify the price discovery process between the spatially separated alfalfa hay markets of Arizona, California, Idaho, Nevada, Oregon, Utah and Washington. Alfalfa hay is the nation’s fourth largest crop in terms of total acreage (USDA NASS, 2013). In each of these seven western states, alfalfa is among the top three most important crops in terms of acreage. For many years, the dairy industry in these states has been the dominant market for alfalfa hay. The dairy industry continues to be a major market with alfalfa being the largest feed component for them (more than 50%), and these western states produce approximately 41% of all US production of milk in 2012 (U.S. Dairy statistics). However, the recent surge in alfalfa hay exports is resulting in a new major market for alfalfa hay and may be changing the price discovery process in these markets. The objective of this study is to examine and elucidate the center of price discovery for alfalfa among the seven mentioned western states, by identifying the causal and dynamic price relationships. The concentration and scale of dairies varies considerably by state, and obviously there are spatial differences relating to distance to the ports. Understanding the evolving nature of alfalfa hay prices in these spatially separated markets should have important risk management and policy implications.

Suggested Citation

  • Tejeda, Hernan A. & Kim, Man-Keun & Feuz, Dillon M., 2015. "Dynamic Relationships and Price Discovery of Western Alfalfa Markets," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205686, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea15:205686
    DOI: 10.22004/ag.econ.205686
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/205686/files/PaperDraft_v5_27_15_ok.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.205686?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. Michael S. Haigh & David A. Bessler, 2004. "Causality and Price Discovery: An Application of Directed Acyclic Graphs," The Journal of Business, University of Chicago Press, vol. 77(4), pages 1099-1121, October.
    2. David A. Bessler & Derya G. Akleman, 1998. "Farm Prices, Retail Prices, and Directed Graphs: Results for Pork and Beef," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(5), pages 1144-1149.
    3. Awokuse, Titus O., 2007. "Market Reforms, Spatial Price Dynamics, and China's Rice Market Integration: A Causal Analysis with Directed Acyclic Graphs," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 32(1), pages 1-19, April.
    4. Titus O. Awokuse & David A. Bessler, 2003. "Vector Autoregressions, Policy Analysis, and Directed Acyclic Graphs: An Application to the U.S. Economy," Journal of Applied Economics, Universidad del CEMA, vol. 6, pages 1-24, May.
    5. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    6. Bernanke, Ben S., 1986. "Alternative explanations of the money-income correlation," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 49-99, January.
    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. Kim, Man-Keun & Tejeda, Hernan A., 2018. "Impact of Alfalfa Exports Surge on Dairy and Feed Markets," 2018 Annual Meeting, August 5-7, Washington, D.C. 273795, Agricultural and Applied Economics Association.
    2. Sall, Ibrahima & Tronstad, Russell & Chin, Chia Yi, 2021. "Spatial Analysis of Alfalfa Prices and Exports," 2021 Annual Meeting, August 1-3, Austin, Texas 314080, Agricultural and Applied Economics Association.

    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. Xu, Xiaojie, 2014. "Causality and Price Discovery in U.S. Corn Markets: An Application of Error Correction Modeling and Directed Acyclic Graphs," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169806, Agricultural and Applied Economics Association.
    2. Xiaojie Xu, 2017. "Contemporaneous causal orderings of US corn cash prices through directed acyclic graphs," Empirical Economics, Springer, vol. 52(2), pages 731-758, March.
    3. Xiaojie Xu, 2019. "Contemporaneous Causal Orderings of CSI300 and Futures Prices through Directed Acyclic Graphs," Economics Bulletin, AccessEcon, vol. 39(3), pages 2052-2077.
    4. Alessio Moneta, 2003. "Graphical Models for Structural Vector Autoregressions," LEM Papers Series 2003/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Olagunju, Kehinde Oluseyi & Feng, Siyi & Patton, Myles, 2021. "Dynamic relationships among phosphate rock, fertilisers and agricultural commodity markets: Evidence from a vector error correction model and Directed Acyclic Graphs," Resources Policy, Elsevier, vol. 74(C).
    6. Xiaojie Xu & Yun Zhang, 2022. "Contemporaneous causality among one hundred Chinese cities," Empirical Economics, Springer, vol. 63(4), pages 2315-2329, October.
    7. Michael S. Haigh & David A. Bessler, 2004. "Causality and Price Discovery: An Application of Directed Acyclic Graphs," The Journal of Business, University of Chicago Press, vol. 77(4), pages 1099-1121, October.
    8. Wang, Zijun, 2012. "The causal structure of bond yields," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 93-102.
    9. Yang, Jian & Bessler, David A., 2008. "Contagion around the October 1987 stock market crash," European Journal of Operational Research, Elsevier, vol. 184(1), pages 291-310, January.
    10. Babula, Ronald A. & Bessler, David A. & Reeder, John & Somwaru, Agapi, 2004. "Modeling U.S. Soy-Based Markets with Directed Acyclic Graphs and Bernanke Structural VAR Methods: The Impacts of High Soy Meal and Soybean Prices," Journal of Food Distribution Research, Food Distribution Research Society, vol. 35(3), pages 1-24, November.
    11. Titus O. Awokuse & Joshua M. Duke, 2006. "The Causal Structure of Land Price Determinants," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 54(2), pages 227-245, June.
    12. Vitale, Jeffrey D. & Bessler, David A., 2006. "The 2004 Niger Food Crisis: What Role Can Price Discovery Play in Famine Early Warning Systems?," 2006 Annual meeting, July 23-26, Long Beach, CA 21316, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Yang, Jian, 2005. "International bond market linkages: a structural VAR analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(1), pages 39-54, January.
    14. Aramayis Dallakyan, 2021. "Nonparanormal Structural VAR for Non-Gaussian Data," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1093-1113, April.
    15. Alessio Moneta, 2008. "Graphical causal models and VARs: an empirical assessment of the real business cycles hypothesis," Empirical Economics, Springer, vol. 35(2), pages 275-300, September.
    16. Bizimana, Jean-Claude & Bessler, David A. & Angerer, Jay P., 2016. "The 2010-2011 Drought Impacts on Cattle Market Integration in the Horn of Africa: A preliminary Evaluation using VAR and Structural Break Analysis," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229991, Southern Agricultural Economics Association.
    17. Candelon, Bertrand & Lieb, Lenard, 2013. "Fiscal policy in good and bad times," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2679-2694.
    18. Lee, Andrew C. & Kim, Man-Keun, 2004. "Causality Among Fed Cattle Market Variables: Directed Acyclic Graphs Analysis Of Captive Supply," 2004 Annual meeting, August 1-4, Denver, CO 20124, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Kenneth F. Wallis & Jan P. A. M. Jacobs, 2005. "Comparing SVARs and SEMs: two models of the UK economy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 209-228.
    20. Ericsson, Neil R & Hendry, David F & Mizon, Grayham E, 1998. "Exogeneity, Cointegration, and Economic Policy Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 370-387, October.

    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:aaea15:205686. 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/aaeaaea.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.