LabCompass

Carson Reeling

Business, Management and Accounting · Purdue University West Lafayette

Mid career · publishing since 2010

Publications

114

Citations

540

Est. group size

Recurring co-author estimate

Active years

16

Publishing since 2010

Research summary
AI-generated

Carson Reeling works in environmental and resource economics, focusing on how people value natural resources and outdoor recreation such as birdwatching, hunting, and wildlife habitat. Much of the work uses economic modeling and real-world data (like crowdsourced sightings and hunting records) to estimate the monetary value of recreational activities and to design policies such as pollution trading markets and conservation incentive programs. The research also touches on market-based tools for environmental regulation, including carbon and multi-pollutant markets.

Environmental and resource valuationOutdoor recreation and wildlife economicsWater and air pollution trading marketsConservation policy and land managementApplied econometrics using crowdsourced/administrative data

Publication output has been relatively steady in recent years (averaging about 3-4 per year over the last five years), following an unusually high count in 2020 likely due to dataset/code repository entries rather than a sustained surge.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 3.4/year recently
2017: 5 publications172018: 5 publications182019: 3 publications192020: 59 publications59202021: 7 publications212022: 1 publication222023: 8 publications232024: 4 publications242025: 4 publications2526
Recent publications
Publishes in
  • Harvard Dataverse×54
  • AgEcon Search (University of Minnesota, USA)×5
  • Environmental and Resource Economics×4
  • SSRN Electronic Journal×3
  • Land Economics×2
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By research-topic overlap
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  • Fei Gao

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  • Boyoung Seo

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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