Design of stated preference surveys: Is there more to learn from behavioral economics?

Abstract

We discuss the design of stated preference (SP) surveys in light of findings in behavioral economics such as context dependence of preferences, learning, and differences between revealed and normative preferences. More specifically, we discuss four different areas: (i) revealed and normative preferences, (ii) learning and constructed preferences, (iii) context dependence, and (iv) hypothetical bias. We argue that SP methods would benefit from adapting to some of the findings in behavioral economics, but also that behavioral economics may gain insights from studying SP methods.