COTTON PRODUCTION UNDER RISK: AN ANALYSIS OF INPUT EFFECTS ON YIELD VARIABILITY AND FACTOR DEMAND
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The risk flexible production model developed by Just and Pope is estimated for the case of cotton in California's San Joaquin Valley and the implications of the model for factor demand are examined. Results indicate risk-reducing roles for farm machinery, labor, and fertilizers in contrast to restrictions imposed by traditional stochastic production specifications. Qualitative assessment of estimated risk effects on factor employment under risk aversion are evaluated by comparison to the risk-neutral solution.