PT  - JOURNAL ARTICLE
AU  - Carson Reeling
AU  - Dane Erickson
AU  - Yusun Kim
AU  - John G. Lee
AU  - Nicole J.O. Widmar
TI  - Combining Aggregate Demand and Discrete Choice Data with Application to Deer License Demand in Indiana
AID  - 10.3368/le.99.4.120621-0144R1
DP  - 2023 Feb 23
TA  - Land Economics
PG  - 120621-0144R1
4099  - http://le.uwpress.org/content/early/2023/02/17/le.99.4.120621-0144R1.short
4100  - http://le.uwpress.org/content/early/2023/02/17/le.99.4.120621-0144R1.full
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.