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University of Illinois at Urbana-Champaign

Dynamic Programming Model of the Corn Production Decision Process With Stochastic Climate Forecasts (Information, Illinois)

Abstract

dc:description

This study addresses two major issues which have surfaced recently in the Agricultural Economics literature: (1) the need to model crop production in a dynamic framework, and (2) the need for a better understanding of the economics of information. To address these issues a stochastic dynamic programming model of a single year's corn production process in east-central Illinois is developed. Improvements in information which are valued by the model are various climate forecast designs.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Agricultural Economics
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Mjelde, James William

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
Identifier
(UMI)AAI8600269
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/69866

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Mjelde, James William. Dynamic Programming Model of the Corn Production Decision Process With Stochastic Climate Forecasts (Information, Illinois). Dissertation thesis, University of Illinois at Urbana-Champaign, 2014. http://hdl.handle.net/2142/69866