RT Journal Article SR Electronic T1 Combining Aggregate Demand and Discrete Choice Data with Application to Deer License Demand in Indiana JF Land Economics JO Land Econ FD University of Wisconsin Press SP 120621-0144R1 DO 10.3368/le.99.4.120621-0144R1 A1 Carson Reeling A1 Dane Erickson A1 Yusun Kim A1 John G. Lee A1 Nicole J.O. Widmar YR 2023 UL http://le.uwpress.org/content/early/2023/02/17/le.99.4.120621-0144R1.abstract AB 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.