<?xml version='1.0' encoding='UTF-8'?><xml><records><record><source-app name="HighWire" version="7.x">Drupal-HighWire</source-app><ref-type name="Journal Article">17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hynes, Stephen</style></author><author><style face="normal" font="default" size="100%">Hanley, Nick</style></author><author><style face="normal" font="default" size="100%">O’Donoghue, Cathal</style></author></authors><secondary-authors></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A Combinatorial Optimization Approach to Nonmarket Environmental Benefit Aggregation via Simulated Populations</style></title><secondary-title><style face="normal" font="default" size="100%">Land Economics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2010-05-01 00:00:00</style></date></pub-dates></dates><pages><style  face="normal" font="default" size="100%">345-362</style></pages><doi><style  face="normal" font="default" size="100%">10.3368/le.86.2.345</style></doi><volume><style face="normal" font="default" size="100%">86</style></volume><issue><style face="normal" font="default" size="100%">2</style></issue><abstract><style  face="normal" font="default" size="100%">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)</style></abstract></record></records></xml>