Efficiency versus bias: the role of distributional parameters in count contingent behaviour models

Abstract

One of the challenges facing many applications of non-market valuations is to find data with enough variation in the variable(s) of interest to estimate econometrically their effects on the quantity demanded. A solution to this problem was the introduction of stated preference surveys. These surveys can introduce variation into variables where there is no natural variation and, as a result, natural experiments are not possible. The problem of no or insufficient variation in naturally occurring data to estimate the effects of interest has led to a large literature on stated preference methods.

Citation

Englin, Joseph; Pang, Arwin; Holmes, Thomas. 2011. Efficiency versus bias: the role of distributional parameters in count contingent behavior models. In: Bennett, J., ed. The International Handbook on Non-market Environmental Valuation. Northampton MA: Edward Elgar. 87-200.