Uncovering Dominant-Satellite Relationships in the U.S. Soybean Basis: Temporal Causation and Spatial Dependence

Daniel A. Lewis, Todd H. Kueth, Mark R. Manfredo and Dwight R. Sanders

Journal of Agribusiness, 2012, vol. 30, issue 01

Abstract: This study examines the degree to which market information is shared in discovering the local basis. The analysis draws from tests of temporal causation and spatial dependence of weekly county-level soybean basis values across 13 markets. Time series analysis shows that local soybean basis levels have some tendency to follow basis levels at export locations (Toledo and U.S. Gulf). Processing centers tend to show the most independence in basis discovery. Spatial statistics suggest a similar phenomenon in which basis values at interior locations are highly correlated with neighboring locations. The patterns of spatial correlation appear consistent throughout the growing season.

Keywords: Farm; Management (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://ageconsearch.umn.edu/record/260180/files/U ... ial%20Dependence.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:jloagb:260180

DOI: 10.22004/ag.econ.260180

Access Statistics for this article

More articles in Journal of Agribusiness from Agricultural Economics Association of Georgia Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().