Several agricultural economists have suggested that agricultural models could be improved by capturing all of the linkages between agriculture and the rest of the economy. In this study, a new multi—sector macroeconomic model is used to compare the forecasting abilities of first, second, and third generation agricultural simulation models. This study finds that forecasting errors can be reduced and a wider range of questions can be addressed by models that simultaneously solve for the agricultural and nonagricultural sectors of the economy.