Table 6.
Open in new tab

Poisson fixed-effect trip demand regression.

 ParameterNo incentiveIncentiveAll
Trip demand model parameters
Trip cost per angler (1/10)		 γ −0.004∗∗∗ −0.004∗∗∗ −0.004∗∗∗
  (0.001)(0.001)(0.001)
Bag limitθ0.1150.0820.100∗
  (0.059)(0.048)(0.039)
(Bag limit)2δ−0.0000.0090.004
  (0.015)(0.013)(0.010)
Hypotheticalλ0.0330.0400.037
  (0.032)(0.030)(0.022)
Trip cost (1/10) × hypotheticalϕ−0.001∗∗
(0.000)		−0.001
(0.000)		−0.001∗∗
(0.000)
     
CS per trip
CS per trip (actual)		−1/γ231.577∗∗∗267.769∗∗∗245.483∗∗∗
  (31.383)(72.311)(33.398)
 CS per trip (hypothetical)−1/(γ + ϕ)206.902∗∗∗
(29.945)		233.744∗∗∗
(68.854)		217.152∗∗∗
(31.550)
     
Bag limit semi-elasticities    
Semi-elasticity: zero bagδ + 2λ00.115∗∗∗
(0.059)		0.082∗∗∗
(0.048)		0.100∗∗∗
(0.039)
Semi-elasticity: one bagδ + 2λ10.114∗∗∗
(0.035)		0.099∗∗∗
(0.029)		0.108∗∗∗
(0.023)
Semi-elasticity: two bagδ + 2λ20.114∗∗∗
(0.027)		0.117∗∗∗
(0.029)		0.115∗∗∗
(0.020)
     
Bag limit MWTP    
MWTP: zero bag(δ + 2λ0)/γ26.601∗
(11.793)		21.913
(14.976)		24.630∗
(9.651)
MWTP: one bag(δ + 2λ1)/γ26.475∗∗∗
(6.817)		26.617∗
(11.562)		26.441∗∗∗
(6.303)
MWTP: two bag(δ + 2λ2)/γ26.349∗∗∗
(6.972)		31.321∗
(12.068)		28.252∗∗∗
(6.180)
Log likelihood −1,421.354−1,262.421−2,684.674
Number of observations 6785881,266
Bayesian information criterion 3,6123,1826,912
Akaike information criterion 3,0792,7315,801
 ParameterNo incentiveIncentiveAll
Trip demand model parameters
Trip cost per angler (1/10)		 γ −0.004∗∗∗ −0.004∗∗∗ −0.004∗∗∗
  (0.001)(0.001)(0.001)
Bag limitθ0.1150.0820.100∗
  (0.059)(0.048)(0.039)
(Bag limit)2δ−0.0000.0090.004
  (0.015)(0.013)(0.010)
Hypotheticalλ0.0330.0400.037
  (0.032)(0.030)(0.022)
Trip cost (1/10) × hypotheticalϕ−0.001∗∗
(0.000)		−0.001
(0.000)		−0.001∗∗
(0.000)
     
CS per trip
CS per trip (actual)		−1/γ231.577∗∗∗267.769∗∗∗245.483∗∗∗
  (31.383)(72.311)(33.398)
 CS per trip (hypothetical)−1/(γ + ϕ)206.902∗∗∗
(29.945)		233.744∗∗∗
(68.854)		217.152∗∗∗
(31.550)
     
Bag limit semi-elasticities    
Semi-elasticity: zero bagδ + 2λ00.115∗∗∗
(0.059)		0.082∗∗∗
(0.048)		0.100∗∗∗
(0.039)
Semi-elasticity: one bagδ + 2λ10.114∗∗∗
(0.035)		0.099∗∗∗
(0.029)		0.108∗∗∗
(0.023)
Semi-elasticity: two bagδ + 2λ20.114∗∗∗
(0.027)		0.117∗∗∗
(0.029)		0.115∗∗∗
(0.020)
     
Bag limit MWTP    
MWTP: zero bag(δ + 2λ0)/γ26.601∗
(11.793)		21.913
(14.976)		24.630∗
(9.651)
MWTP: one bag(δ + 2λ1)/γ26.475∗∗∗
(6.817)		26.617∗
(11.562)		26.441∗∗∗
(6.303)
MWTP: two bag(δ + 2λ2)/γ26.349∗∗∗
(6.972)		31.321∗
(12.068)		28.252∗∗∗
(6.180)
Log likelihood −1,421.354−1,262.421−2,684.674
Number of observations 6785881,266
Bayesian information criterion 3,6123,1826,912
Akaike information criterion 3,0792,7315,801

∗P < .05; ∗∗P < .01; ∗∗∗P < .001. P values for the null that the estimate is equal to zero.

Table 6.
Open in new tab

Poisson fixed-effect trip demand regression.

 ParameterNo incentiveIncentiveAll
Trip demand model parameters
Trip cost per angler (1/10)		 γ −0.004∗∗∗ −0.004∗∗∗ −0.004∗∗∗
  (0.001)(0.001)(0.001)
Bag limitθ0.1150.0820.100∗
  (0.059)(0.048)(0.039)
(Bag limit)2δ−0.0000.0090.004
  (0.015)(0.013)(0.010)
Hypotheticalλ0.0330.0400.037
  (0.032)(0.030)(0.022)
Trip cost (1/10) × hypotheticalϕ−0.001∗∗
(0.000)		−0.001
(0.000)		−0.001∗∗
(0.000)
     
CS per trip
CS per trip (actual)		−1/γ231.577∗∗∗267.769∗∗∗245.483∗∗∗
  (31.383)(72.311)(33.398)
 CS per trip (hypothetical)−1/(γ + ϕ)206.902∗∗∗
(29.945)		233.744∗∗∗
(68.854)		217.152∗∗∗
(31.550)
     
Bag limit semi-elasticities    
Semi-elasticity: zero bagδ + 2λ00.115∗∗∗
(0.059)		0.082∗∗∗
(0.048)		0.100∗∗∗
(0.039)
Semi-elasticity: one bagδ + 2λ10.114∗∗∗
(0.035)		0.099∗∗∗
(0.029)		0.108∗∗∗
(0.023)
Semi-elasticity: two bagδ + 2λ20.114∗∗∗
(0.027)		0.117∗∗∗
(0.029)		0.115∗∗∗
(0.020)
     
Bag limit MWTP    
MWTP: zero bag(δ + 2λ0)/γ26.601∗
(11.793)		21.913
(14.976)		24.630∗
(9.651)
MWTP: one bag(δ + 2λ1)/γ26.475∗∗∗
(6.817)		26.617∗
(11.562)		26.441∗∗∗
(6.303)
MWTP: two bag(δ + 2λ2)/γ26.349∗∗∗
(6.972)		31.321∗
(12.068)		28.252∗∗∗
(6.180)
Log likelihood −1,421.354−1,262.421−2,684.674
Number of observations 6785881,266
Bayesian information criterion 3,6123,1826,912
Akaike information criterion 3,0792,7315,801
 ParameterNo incentiveIncentiveAll
Trip demand model parameters
Trip cost per angler (1/10)		 γ −0.004∗∗∗ −0.004∗∗∗ −0.004∗∗∗
  (0.001)(0.001)(0.001)
Bag limitθ0.1150.0820.100∗
  (0.059)(0.048)(0.039)
(Bag limit)2δ−0.0000.0090.004
  (0.015)(0.013)(0.010)
Hypotheticalλ0.0330.0400.037
  (0.032)(0.030)(0.022)
Trip cost (1/10) × hypotheticalϕ−0.001∗∗
(0.000)		−0.001
(0.000)		−0.001∗∗
(0.000)
     
CS per trip
CS per trip (actual)		−1/γ231.577∗∗∗267.769∗∗∗245.483∗∗∗
  (31.383)(72.311)(33.398)
 CS per trip (hypothetical)−1/(γ + ϕ)206.902∗∗∗
(29.945)		233.744∗∗∗
(68.854)		217.152∗∗∗
(31.550)
     
Bag limit semi-elasticities    
Semi-elasticity: zero bagδ + 2λ00.115∗∗∗
(0.059)		0.082∗∗∗
(0.048)		0.100∗∗∗
(0.039)
Semi-elasticity: one bagδ + 2λ10.114∗∗∗
(0.035)		0.099∗∗∗
(0.029)		0.108∗∗∗
(0.023)
Semi-elasticity: two bagδ + 2λ20.114∗∗∗
(0.027)		0.117∗∗∗
(0.029)		0.115∗∗∗
(0.020)
     
Bag limit MWTP    
MWTP: zero bag(δ + 2λ0)/γ26.601∗
(11.793)		21.913
(14.976)		24.630∗
(9.651)
MWTP: one bag(δ + 2λ1)/γ26.475∗∗∗
(6.817)		26.617∗
(11.562)		26.441∗∗∗
(6.303)
MWTP: two bag(δ + 2λ2)/γ26.349∗∗∗
(6.972)		31.321∗
(12.068)		28.252∗∗∗
(6.180)
Log likelihood −1,421.354−1,262.421−2,684.674
Number of observations 6785881,266
Bayesian information criterion 3,6123,1826,912
Akaike information criterion 3,0792,7315,801

∗P < .05; ∗∗P < .01; ∗∗∗P < .001. P values for the null that the estimate is equal to zero.

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