Modeling Land Use Decisions with Aggregate Data
开发土地利用模型，研究决策变量变化对土壤侵蚀等环境结果的影响。通过最大熵方法从行为模型恢复县级土地利用份额的参数模型，并用于分析爱荷华州三个县牲畜存栏变化对土壤侵蚀率的影响。
Abstract In this article, we develop land use models to study the impact of changes in decision variables on soil erosion or other environmental outcomes. From an underlying behavioral model, we use maximum entropy to recover a parametric model of county‐level land use shares as a function of decision variables such as output prices, input costs, and land quality. The statistical model may be extended to estimate subcounty land use shares and to incorporate data from federal land use surveys. We use the procedure to analyze the impact of changes in livestock inventories on soil erosion rates in three Iowa counties.