Two Econometric Approaches for Predicting the Spatial Behavior of Renewable Resource Harvesters

Martin D. Smith


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. (JEL Q22)

This article requires a subscription to view the full text. If you have a subscription you may use the login form below to view the article. Access to this article can also be purchased.

Purchase access

You may purchase access to this article. This will require you to create an account if you don't already have one.