Combining Aggregate Demand and Discrete Choice Data with Application to Deer License Demand in Indiana

Carson Reeling, Dane Erickson, Yusun Kim, John G. Lee and Nicole J. O. Widmar

Land Economics, 2023, vol. 99, issue 4, 477-489

Abstract: 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.

JEL-codes: Q21 Q26 (search for similar items in EconPapers)
Date: 2023
Note: DOI: https://doi.org/10.3368/le.99.4.120621-0144R1
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