Combining Aggregate Demand and Discrete Choice Data with Application to Deer License Demand in Indiana
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...
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| Veröffentlicht in: | Land economics 2023-11, Vol.99 (4), p.477-489 |
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| container_end_page | 489 |
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| container_issue | 4 |
| container_start_page | 477 |
| container_title | Land economics |
| container_volume | 99 |
| creator | Reeling, Carson Erickson, Dane Kim, Yusun Lee, John G Widmar, Nicole J. O |
| description | 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. |
| doi_str_mv | 10.3368/le.99.4.120621-0144R1 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 0023-7639 |
| ispartof | Land economics, 2023-11, Vol.99 (4), p.477-489 |
| issn | 0023-7639 1543-8325 |
| language | eng |
| recordid | cdi_proquest_journals_2870095807 |
| source | EBSCOhost Business Source Complete |
| subjects | Aggregate demand Decision making models Deer Discrete choice Generalized method of moments Land economics Licenses Market shares Method of moments Recreation demand Time use |
| title | Combining Aggregate Demand and Discrete Choice Data with Application to Deer License Demand in Indiana |
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