TY - JOUR T1 - Case-based Reasoning and Dynamic Choice Modeling JF - Land Economics JO - Land Econ DO - 10.3368/le.120820-0183R1 SP - 120820-0183R1 AU - Priya Thomas AU - Todd Guilfoos Y1 - 2022/04/21 UR - http://le.uwpress.org/content/early/2022/04/15/le.120820-0183R1.abstract N2 - Estimating discrete choices under uncertainty typically rely on assumptions of the Expected Utility Theory. We build on the dynamic choice modeling literature by using a non-linear case-based reasoning approach that is based on cognitive processes and forms expectations by comparing the similarity between past problems and the current problem faced by a decision maker. This study provides a proof of concept of a behavioral model of angler location choice applied to recreational fishers’ location choice behavior in Connecticut. We find the case-based decision model does well in explaining the observed data and provides value in explaining dynamic value of attributes. ER -