WILLINGNESS-TO-PAY ESTIMATES AND GEOGRAPHIC EMBEDDED SAMPLES: CASE STUDY OF ALASKAN STELLER SEA LION

This paper examines willingness to pay for an endangered species protection program across geographically embedded samples. The samples range from the boroughs that contain critical habitat for the Steller sea lion to the state that contains these boroughs to the entire United States. The analysis is done using the contingent valuation method and comparing mean willingness to pay estimates using the Method of Convolution. When comparing willingness-to-pay estimates among paired samples, results indicate significantly different values across geographic samples, which may lead to dramatically different policy implications. Respondent motivating factors also vary from sample to sample, which may be of interest to the management agencies, especially federal agencies and those with a national scope.