Estimating the Potential Value of Variable Rate Nitrogen Applications: A Comparison of Spatial Econometric and Geostatistical Models

Terrance Hurley, Kikuo Oishi and Gary L. Malzer

Journal of Agricultural and Resource Economics, 2005, vol. 30, issue 2, 19

Abstract: Site-specific crop response functions (SSCRFs) are useful for estimating the value of variable rate nitrogen applications (VRA), but appropriate statistical models are necessary. Problems estimating SSCRFs using experimental field data include region, spatial, treatment, and strip dependent heteroskedasticity and correlation. We develop a spatial autoregressive error (SARE) model for dealing with these problems and compare results with previous analysis based on a geostatistical (GEO) model. VRA value estimates for the two models differ notably for 1995 data from Southern Minnesota. Furthermore, findings show that the results of a comparison of model performance are location specific.

Keywords: Crop; Production/Industries (search for similar items in EconPapers)
Date: 2005
References: View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
https://ageconsearch.umn.edu/record/31210/files/30020231.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:jlaare:31210

DOI: 10.22004/ag.econ.31210

Access Statistics for this article

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