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What is the Causal Effect of Information and Learning about a Public Good on Willingness to Pay?

Mikolaj Czajkowski, Nick Hanley, Jacob LaRiviere and Katherine Simpson
Authors registered in the RePEc Author Service: Katherine Needham

No 2014-05, Stirling Economics Discussion Papers from University of Stirling, Division of Economics

Abstract: In this study we elicit agents' prior information set regarding a public good, exogenously give information treatments to survey respondents and subsequently elicit willingness to pay for the good and posterior information sets. The design of this field experiment allows us to perform theoretically motivated hypothesis testing between different updating rules: non-informative updating, Bayesian updating, and incomplete updating. We find causal evidence that agents imperfectly update their information sets. We also field causal evidence that the amount of additional information provided to subjects relative to their pre-existing information levels can affect stated WTP in ways consistent overload from too much learning. This result raises important (though familiar) issues for the use of stated preference methods in policy analysis.

Keywords: Bayesian; Public Goods; Behavioral Economics; Stated Preference (search for similar items in EconPapers)
Date: 2014-04
New Economics Papers: this item is included in nep-cbe, nep-cta, nep-exp and nep-pub
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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http://hdl.handle.net/1893/19836

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