TINKERING WITH VALUATION ESTIMATES: IS THERE A FUTURE FOR WILLINGNESS TO ACCEPT MEASURES?

Table 2. Results of Logit Models: WTP to Avoid Visibility Loss and WTA
Compensation for Loss of Visibility

	Model 1: Dependent Variable = WTP	Model 2: Dependent Variable = WTA
Variable	Coefficient	Coefficient
	(Standard Error)	(Standard Error)
Constant	-7.38847***	9.84487***
	(2.50592)	(3.61821)
INCOME	0.02213***	0.00724
	(0.00682)	(0.00493)
FVISIT	0.34000	-1.24826
	(0.40970)	(0.34831)
BID	-0.04604***	-0.00988
	(0.1347)	(0.01135)
VISLOSS	0.04933**	-0.08221**
	(0.01872)	(0.02808)
N	172	248
Chi-Squared	33.04469 (4 d.f.)	23.87060 (4 d.f.)
% of Correct Predictions	70.3	80.6
* significant at .01 level significant at .05 level * significant at .10 level

15

More intriguing information

1. The name is absent
2. Effort and Performance in Public-Policy Contests
3. The Impact of EU Accession in Romania: An Analysis of Regional Development Policy Effects by a Multiregional I-O Model
4. Großhandel: Steigende Umsätze und schwungvolle Investitionsdynamik
5. The name is absent
6. What Contribution Can Residential Field Courses Make to the Education of 11-14 Year-olds?
7. Towards a Mirror System for the Development of Socially-Mediated Skills
8. Foreign Direct Investment and Unequal Regional Economic Growth in China
9. The Impact of Cognitive versus Affective Aspects on Consumer Usage of Financial Service Delivery Channels
10. The name is absent
11. Better policy analysis with better data. Constructing a Social Accounting Matrix from the European System of National Accounts.
12. Income Growth and Mobility of Rural Households in Kenya: Role of Education and Historical Patterns in Poverty Reduction
13. Perfect Regular Equilibrium
14. The Functions of Postpartum Depression
15. The name is absent
16. Testing Panel Data Regression Models with Spatial Error Correlation
17. EDUCATIONAL ACTIVITIES IN TENNESSEE ON WATER USE AND CONTROL - AGRICULTURAL PHASES
18. Estimated Open Economy New Keynesian Phillips Curves for the G7
19. Evidence of coevolution in multi-objective evolutionary algorithms
20. The name is absent