TY - JOUR T1 - Combining Aggregate Demand and Discrete Choice Data with Application to Deer License Demand in Indiana JF - Land Economics JO - Land Econ DO - 10.3368/le.99.4.120621-0144R1 SP - 120621-0144R1 AU - Carson Reeling AU - Dane Erickson AU - Yusun Kim AU - John G. Lee AU - Nicole J.O. Widmar Y1 - 2023/02/23 UR - http://le.uwpress.org/content/early/2023/02/17/le.99.4.120621-0144R1.abstract N2 - Estimating demand for licenses for recreational activities is complicated due to a lack of meaningful variation across time, space, buyer types, and license attributes, including price. Prior work uses discrete choice experiments (DCEs) to overcome this challenge, but the resulting demand models are unlikely to replicate observed demands in the absence of ad hoc calibration procedures. We use a generalized method of moments-based approach that combines DCE data with observed market share data to estimate a choice model that yields demand functions that much more closely replicate observed data. ER -