TY - JOUR T1 - Case-Based Reasoning and Dynamic Choice Modeling JF - Land Economics JO - Land Econ SP - 103 LP - 121 DO - 10.3368/le.120820-0183R1 VL - 99 IS - 1 AU - Priya Thomas AU - Todd Guilfoos Y1 - 2023/02/01 UR - http://le.uwpress.org/content/99/1/103.abstract N2 - Estimating discrete choices under uncertainty typically rely on assumptions of expected utility theory. We build on the dynamic choice modeling literature by using a nonlinear case-based reasoning approach 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 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 the dynamic value of attributes. ER -