PT  - JOURNAL ARTICLE
AU  - Reeling, Carson
AU  - Erickson, Dane
AU  - Kim, Yusun
AU  - Lee, John G.
AU  - Widmar, Nicole J. O.
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 Nov 01
TA  - Land Economics
PG  - 477--489
VI  - 99
IP  - 4
4099  - http://le.uwpress.org/content/99/4/477.short
4100  - http://le.uwpress.org/content/99/4/477.full
AB  - Estimating demand for licenses for recreational activities is complicated because of 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.