Optimal Information Acquisition under a Geostatistical Model

Gregory Pautsch, Bruce Babcock and F. Breidt

Center for Agricultural and Rural Development (CARD) Publications from Center for Agricultural and Rural Development (CARD) at Iowa State University

Abstract: Develops a framework for incorporating estimation risk into a decision model to determine the optimal amount of soil test information when applying nitrogen fertilizer using a variable rate technology (VRT). Producers should acknowledge that the soil nitrate mapping is a collection of estimates and does not provide information at non-sampled sites. Switching from single rate technology to VTR is more plausible for fields with greatest soil nitrate variability.

Date: 1999-04
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Citations: View citations in EconPapers (7)

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https://www.card.iastate.edu/products/publications/pdf/99wp217.pdf Full Text (application/pdf)
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Related works:
Journal Article: OPTIMAL INFORMATION ACQUISITION UNDER A GEOSTATISTICAL MODEL (1999)
Working Paper: Optimal Information Acquisition Under a Geostatistical Model (1999)
Working Paper: Optimal Information Acquisition Under a Geostatistical Model (1999)
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Persistent link: https://EconPapers.repec.org/RePEc:ias:cpaper:99-wp217

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