A combinational optimization approach to non-market environmental benefit aggregation via simulated populations

This paper considers the use of a combinatorial optimization technique in the aggregation of environmental benefit values. Combinatorial optimization is used to statistically match population census data to a contingent valuation survey The matched survey and census information is then used to produce regional and national total willingness-to-pay figures. These figures are then compared to figures derived using More standard approaches to calculating aggregate environment benefit values. The choice of aggregation approach is shown to have a major impact upon estimates of total benefits at a regional level, especially when the target population displays considerable heterogeneity across space. (JEL C14, Q51)