Valuing Access to our Public Lands: A Unique Public Good Pricing Experiment



Table 7. Awareness, Internal Hypothetical Bias and External Hypothetical Bias Calibration Factors

Panel A. NRP Revenue Predictions

Revenue Type

Predicted NRP Revenue ($65 × Millions of Households Purchasing NRP)

RDD Sample

NPF Sample

Non-Parametric

Parametric

Non-Parametric

Parametric

w/out Awareness Correction

491.14

254.63

0.88

1.40

w/ Awareness Correction

187.63

102.75

0.85

1.35

w/ Awareness & IHB
Correction

143.48

22.34

0.54

1.03

w/ EHB Correction

30.00

30.00

1.00

1.00

Panel B. Scaling Factors

Scaling Factor: “NRP Revenues are Divided by a Factor of

Calibration Type

RDD Sample

NPF Sample

Non-Parametric

Parametric

Non-Parametric

Parametric

Awareness Bias

2.62

2.48

1.04

1.04

Internal Hypothetical Bias

1.31

4.60

1.57

1.31

External Hypothetical Bias

4.78

0.74

0.54

1.03

Total Bias

16.41

8.44

0.88

1.40

Notes. IHB = Internal Hypothetical Bias; EHB = External Hypothetical Bias.

32



More intriguing information

1. MULTIPLE COMPARISONS WITH THE BEST: BAYESIAN PRECISION MEASURES OF EFFICIENCY RANKINGS
2. THE MEXICAN HOG INDUSTRY: MOVING BEYOND 2003
3. Three Policies to Improve Productivity Growth in Canada
4. Regional dynamics in mountain areas and the need for integrated policies
5. Regulation of the Electricity Industry in Bolivia: Its Impact on Access to the Poor, Prices and Quality
6. The name is absent
7. The Shepherd Sinfonia
8. Trade and Empire, 1700-1870
9. A Note on Costly Sequential Search and Oligopoly Pricing (new title: Truly Costly Sequential Search and Oligopolistic Pricing,)
10. Multifunctionality of Agriculture: An Inquiry Into the Complementarity Between Landscape Preservation and Food Security