Investigating Linkages Among Individual Decision Rules, Properties of Experimental Designs and Choice Models In Environmental Economics Applications

点击翻译按钮获取中文摘要

Discrete Choice Experiments or 'stated preference' (SP) surveys are increasingly being used to estimate public benefits of proposed environmental policy changes. The accuracy of environmental policy analyses and forecasts of welfare changes based on SP models depends heavily on unbiased parameter estimates. Our project aims to assess what happens if common assumptions about consumer preferences in SP surveys are violated. We also study whether exploratory analysis methods can detect the violations to guide future research and applications. Successful completion of this project will lead to more accurate policy analyses and forecasts based on discrete choice models.