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Angler Heterogeneity and Species-Specific Demand for Recreational Fishing in the Southeast United States*

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Angler Heterogeneity and Species-Specific Demand for Recreational Fishing in the Southeast United States*. Tim Haab (Ohio State University) Rob Hicks (College of William and Mary) Kurt Schnier (University of Rhode Island) John Whitehead (Appalachian State University).

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Angler Heterogeneity and Species-Specific Demand for Recreational Fishing in the Southeast United States*

Tim Haab (Ohio State University)

Rob Hicks (College of William and Mary)

Kurt Schnier (University of Rhode Island)

John Whitehead (Appalachian State University)

AFS Annual Meeting, Lake Placid, NY, Sept. 10-14, 2006

*MARFIN #NA06NMF4330055

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Our research will consider:

  • Targeting behavior
    • Compare various angler targeting models
      • single-species
      • aggregates of related species
      • all species combined
our research will consider
Our research will consider:
  • Species substitution
    • Estimate angler willingness to substitute to other species or species groups when fishing quality or fishing management changes
our research will
Our research will:
  • Estimate how willingness to substitute species might differ by angler type
    • socioeconomic factors
    • preferences
    • gear type (i.e., mode)
our research will5
Our research will:
  • Provide species-specific estimates of economic value for:
    • changes in fishing quality
    • management (e.g., size limits, bag limits)
to date
To date:
  • We have identified the feasibility of demand modeling at the species level
  • Estimated a prototype single species demand model
mrfss 2000
MRFSS 2000
  • LA to NC
    • n = 70,781
  • Southeast 2000 (Limited Valuation Round)
    • n = 42,079
  • Hook and line trips only (99%), day trips only (67%), delete missing values on key variables
    • n = 18,709
  • Targets a species
    • n=11,257
species
Species
  • 425 unique species caught by recreational anglers sampled by the MRFSS
  • 15 species account for 82% of the targeting activity and 38% of the (type 1) catch
random utility models
Random Utility Models
  • Conditional Logit
    • U = X’β + e
  • Mixed Logit
    • U = X’δ + ε + e
dependent variables
Dependent variables
  • Travel cost
    • [party/charter] TC = charter fee + driving costs + time costs
    • [private/rental] TC = driving costs + time costs
  • Predicted (type 1) catch rate
    • Depends on 5-year historic (type 1) catch rate
    • Big (20” or greater)
    • Small (less than 20”)
  • Historic big game catch rate
  • Number of MRFSS interview sites in the county
conditional mixed logit
Conditional/Mixed Logit

Party/charter boatEight counties

Private/rental boat

Ten counties

conditional logit results
Conditional Logit Results

Number of observations = 685

Number of alternatives = 18

Number of cases = 12330

mixed logit results
Mixed Logit Results

Number of observations = 685

Number of alternatives = 18

Number of cases = 12330

policy analysis
Policy analysis
  • About 1.3 million dolphin trips in east coast of Florida
    • The welfare loss of new 20” size limit is about:
      • $15/fish/trip
      • x 1.3 million trips
      • = $19.5m (=/- 1 sd: $33.8m, $14.3m)
    • These costs could be compared to the benefits …
future work
Future work
  • Incorporate 1997 data
  • Consider species substitution models for:
    • Dolphin
    • King mackerel
    • Red drum
    • Spanish mackerel
    • Snapper-grouper
    • Aggregate species groups
  • Policy analysis: size limits, bag limits
contact
Contact

John Whitehead

Department of Economics

Appalachian State University

Boone, NC 28608

[email protected]

http://www.appstate.edu/~whiteheadjc

nested logit
Nested Logit

Party/charter

Private/rental

Ten counties

Eight counties

nested logit results
Nested Logit Results

Number of observations = 685

Number of alternatives = 18

Number of cases = 12330

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