Evaluating Pest Management Strategies: A Robust Method and its Application to Strawberry Disease Management

Ariel Soto, Feng Wu, Zhengfei Guan and Natalia Peres

Papers from arXiv.org

Abstract: Farmers use pesticides to reduce yield losses. The efficacies of pesticide treatments are often evaluated by analyzing the average treatment effects and risks. The stochastic efficiency with respect to a function is often employed in such evaluations through ranking the certainty equivalents of each treatment. The main challenge of using this method is gathering an adequate number of observations to produce results with statistical power. However, in many cases, only a limited number of trials are replicated in field experiments, leaving an inadequate number of observations. In addition, this method focuses only on the farmer's profit without incorporating the impact of disease pressure on yield and profit. The objective of our study is to propose a methodology to address the issue of an insufficient number of observations using simulations and take into account the effect of disease pressure on yield through a quantile regression model. We apply this method to the case of strawberry disease management in Florida.

Date: 2019-08, Revised 2022-05
New Economics Papers: this item is included in nep-agr, nep-eff and nep-exp
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Working Paper: Evaluating Pest Management Strategies: A Robust Method and its Application to Strawberry Disease Management (2019)
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