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.