Chris Eggerman

Projecting Net Incomes for Texas Crop Producers - an Application of Probabilistic Forecasting Chris Eggerman

Policy changes directly affect profitability for Texas crop producers as govern­ment payments make up a sizeable portion of their net farm income (NFI), but an economic model projecting NFI for Texas crops previously did not exist. Developed in the Agricultural & Food Policy Center at Texas A&M Uni­versity, the Texas crop model estimates state-level price, yields and produc­tion costs to project annual NFI for the state's corn, cotton, peanut, rice, sorghum, wheat and hay producers. Food & Agricultural Policy Research Institute (FAPRI) projections of U. S. variables are used as input to the model, and stochastic simulation incorporates the risk left unexplained by Ordinary Least Squares equations relating Texas variables to U. S. variables to make the NFI projections stochastic. NFI projections are compared under alternative sets of FAPRI projections to show impacts of production cost and commodity prices changes. Researchers in Risk Analysis, Policy Analysis, or Production Economics will be interested in the methodology used to develop the model, while NFI projections under alterative baseline assumptions will be valuable to agricultural producers, agribusinesses and policy makers.