Two Econometric Approaches for Predicting the Spatial Behavior of Renewable Resource Harvesters
用两种计量方法分析加州海胆渔业的捕捞空间模式：月度数据的计数与SUR模型，以及个体捕捞者每日决策的嵌套Logit模型，比较拟合优度并讨论管理含义。
<i>This paper analyzes spatial patterns of exploitation in the California sea urchin fishery using two different econometric approaches: a combined count data and SUR model of monthly observations and a micro-level Nested Logit model of individual harvester daily decisions. Each model is used to simulate the spatial distribution of fishing effort. The models are compared using goodness of fit measures and implications for management are discussed.</i>