Economic Valuation by the Method of Paired Comparison, with Emphasis on Evaluation of the Transitivity Axiom

1998 ◽  
Vol 74 (2) ◽  
pp. 240 ◽  
Author(s):  
George L. Peterson ◽  
Thomas C. Brown
Keyword(s):  
Paired Comparison ◽  
Economic Valuation ◽  
Transitivity Axiom

Computerized Paired Comparison of Values (CPCV)

2012 ◽  
Author(s):  
Wolfgang Bilsky ◽  
Tobias Gollan ◽  
Hector Grad ◽  
Maria Luisa Mendes Teixeira ◽  
Miryam Rodriguez Monter ◽  
...  
Keyword(s):  
Paired Comparison

Paired Comparison of Iopamidol and Iopromide in Hepatic Arteriography

2003 ◽  
Vol 48 (2) ◽  
pp. 141 ◽  
Author(s):  
Young Ho Choi ◽  
Jin Wook Chung ◽  
Guk Myung Choi ◽  
Chang Jin Yoon ◽  
Keon Ha Kim ◽  
...  
Keyword(s):  
Paired Comparison ◽  
Hepatic Arteriography

Using Bayesian network models to incorporate uncertainty in the economic analysis of pollution abatement measures under the water framework directive

2005 ◽  
Vol 5 (6) ◽  
pp. 95-104 ◽  
Author(s):  
D.N. Barton ◽  
T. Saloranta ◽  
T.H. Bakken ◽  
A. Lyche Solheim ◽  
J. Moe ◽  
...  
Keyword(s):  
Water Quality ◽  
At Risk ◽  
Economic Valuation ◽  
Pollution Abatement ◽  
Network Models ◽  
Cost Effective ◽  
Bayesian Belief Networks ◽  
Probabilistic Interpretation ◽  
Belief Networks ◽  
Benefit Cost Analysis

The evaluation of water bodies “at risk” of not achieving the Water Framework Directive's (WFD) goal of “good status” begs the question of how big a risk is acceptable before a programme of measures should be implemented. Documentation of expert judgement and statistical uncertainty in pollution budgets and water quality modelling, combined with Monte Carlo simulation and Bayesian belief networks, make it possible to give a probabilistic interpretation of “at risk”. Combined with information on abatement costs, a cost-effective ranking of measures based on expected costs and effect can be undertaken. Combined with economic valuation of water quality, the definition of “disproportionate cost” of abatement measures compared to benefits of achieving “good status” can also be given a probabilistic interpretation. Explicit modelling of uncertainty helps visualize where research and consulting efforts are most critical for reducing uncertainty. Based on data from the Morsa catchment in South-Eastern Norway, this paper discusses the relative merits of using Bayesian belief networks when integrating biophysical modelling results in the benefit-cost analysis of derogations and cost-effectiveness ranking of abatement measures under the WFD.

Sign in / Sign up

Export Citation Format

Share Document