Villacis, Alexis H.Ramsey, A. FordDelgado, Jorge A.Alwang, Jeffrey R.2021-03-092021-03-092020-111074-0708PII S1074070820000231http://hdl.handle.net/10919/102638Stochastic plateau production functions provide improved fertilizer recommendations based on multi-year agronomic experiments where weather and other stochastic variables change over time. This research assesses the profitability of no-tillage corn production in northeastern Colorado and determines economically optimal nitrogen fertilizer rates. It also proposes an alternative parameterization of the linear response stochastic plateau model which provides a robustness check against traditional parameterizations. Results show the current use of nitrogen fertilizer in the area exceeds estimated economically optimal levels. This suggests that a reduction in nitrogen use could increase expected profits and simultaneously reduce environmental costs.application/pdfenPublic Domaincornlinear response stochastic plateauMonte CarloNitrogenno-tillagenon-linear mixed-effects modelsrandom parametersswitching regressionEstimating Economically Optimal Levels of Nitrogen Fertilizer in No-Tillage Continuous CornArticle - RefereedJournal of Agricultural and Applied Economicshttps://doi.org/10.1017/aae.2020.235242056-7405