Measuring the economic value of deer hunting
Comparing estimates from survey and harvest check-in data
Bibliographic Data
| ID | 15327202 |
|---|---|
| Authors | Luke Boehm (Loyola University Chicago), Lopamudra Chakraborti (0000-0003-1255-568X, Loyola University Chicago), Richard T Melstrom (0000-0001-6420-5425, Loyola University Chicago, corresponding author), Nicolina Piccolo (Loyola University Chicago), Carson Reeling (0000-0002-6203-0649, Department of Agricultural Economics, Purdue University, West Lafayette, Indiana, USA) |
| Year | 2023 |
| Volume | 29 |
| Issue | 6 |
| Pages | 545-561 |
| Publication date | 2023-11-14 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Human Dimensions of Wildlife (JOURNAL) |
| Journal identifiers | ISSN: 1087-1209 • E-ISSN: 1533-158X |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/10871209.2023.2283070 |
| OpenAlex | W4388657793 |
| Language | EN |
| References cited | 32 |
Economists typically estimate the economic value of wildlife-associated recreation by applying valuation methods to individual data collected from mail and internet surveys, however, surveys are limited to what respondents choose to report as well as who chooses to respond. Government records and mobile applications that track recreational activity can also provide data for economic valuation if activities can be linked back to individual decision-makers. One particularly intriguing source of government information is harvest check-in data, which tracks hunting success. In this paper, we examine the comparability of economic values based on surveys and harvest check-in data using a site choice model. While we find evidence the datasets yield different models, large and substantial differences are the exception rather than the rule, especially once we accurately account for individual trip costs. Our findings support the conclusion that data generated through surveys and harvest records are capable of producing similar valuation estimates
Business · Comparability · Contingent valuation · Econometrics · Economic data · Economics · Geography · Microeconomics · Recreation · Statistics · Survey data collection · Valuation (finance · Wildlife · Willingness to pay · Diverse Aspects of Tourism Research · Economic and Environmental Valuation · Mathematics · Recreation, Leisure, Wilderness Management · Accounting · Ecology
The Generalized Multinomial Logit Model
The Role of the Scale Parameter in the Estimation and Comparison of Multinomial Logit Models
Recreation Demand Models with Taste Differences over People
Combining Revealed and Stated Preference Methods for Valuing Environmental Amenities
Mixed Logit with Repeated Choices
The role of hunting in North American wildlife conservation
Hunting Activity Record-Cards and the Accuracy of Survey Estimates
The Fallacy of Online Surveys
A State and Provincial Survey of Harvest Reporting and Data Collection Methods
Assessing the relative importance of recall bias and nonresponse bias and adjusting for those biases in statewide angler surveys
Valuing deer hunting ecosystem services from farm landscapes
The End of the (Research) World As We Know It? Understanding and Coping With Declining Response Rates to Mail Surveys
Activity Substitutability and Degree of Specialization Among Deer and Elk Hunters in Multiple States
| Highly cited | No |
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