Modeling U.S. Soy-Based Markets with Directed Acyclic Graphs and Bernanke Structural VAR Methods: The Impacts of High Soy Meal and Soybean Prices

Ronald A. Babula, David Bessler (), John Reeder and Agapi Somwaru

Journal of Food Distribution Research, 2004, vol. 35, issue 3, 24

Abstract: Advanced methods that combine directed acyclic graphs with Bernanke structural vector autoregression models are applied to a monthly system of three U.S. soy-based markets: for soybeans upstream and for the two soybean co-products soy meal and soy oil further downstream. Analyses of the impulse-response function and forecast error variance decompositions provide updated estimates of market-elasticity parameters that drive these markets and updated policy-relevant information on how these monthly markets run and dynamically interact. Results characterize impacts on the three U.S. soy-based markets of increases in U.S. prices of soy meal and soybeans.

Keywords: Industrial; Organization (search for similar items in EconPapers)
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://ageconsearch.umn.edu/record/27559/files/35030029.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:jlofdr:27559

DOI: 10.22004/ag.econ.27559

Access Statistics for this article

More articles in Journal of Food Distribution Research from Food Distribution Research Society Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().