@article{ecead139dde848a1ad797a57ebfd7057,
title = "On the use of honesty priming tasks to mitigate hypothetical bias in choice experiments",
abstract = "We test whether the use of an honesty priming task can help mitigate hypothetical bias in stated preference choice experiments (CE). Using a between-sample design, we conducted hypothetical and non-hypothetical choice experiments with seven treatments. Our results suggest that marginal willingness to pay estimates from hypothetical CE with an honesty priming task are not significantly different from marginal valuations from non-hypothetical CE. Values from both of these treatments are lower than those from three other hypothetical treatments, while values from the three non-hypothetical treatments are not significantly different from each other.",
keywords = "Honesty priming, Hypothetical bias, Willingness to pay",
author = "Tiziana De-Magistris and Azucena Gracia and Nayga, {Rodolfo M.}",
note = "Funding Information: Tiziana de Magistris is a Marie Curie Fellow and research economist, and Azucena Gracia is a senior sesearch economist at the Unidad de Econom{\'i}a Agroalimentaria y de los Recursos Nat-urales, Centro de Investigaci{\'o}n y Tecnolog{\'i}a Agroalimentaria de Arag{\'o}n (CITA), Gobierno de Arag{\'o}n, Zaragoza (Spain). Rodolfo M. Nayga, Jr. is a professor and holds the Tyson Endowed Chair at the Department ofAgricultural Economics andAgribusiness,Division ofAgriculture,University ofArkansas,Fayetteville,AR,and is also an adjunct professor at the Department of Food and Resource Economics, Korea University. The study has been funded by the European Union Marie Curie Project FOODLABELS_PIOF-GA-2009-253323 entitled “Do consumers value food labels? An assessment of the impact of information and personality traits on the demand for food labels.”The authors would like to thank Brian Roe, Riccardo Scarpa, Kiyokazu Ujiie, and the anonymous journal reviewers for their helpful suggestions. Any remaining errors are the responsibility of the authors.",
year = "2013",
month = oct,
doi = "10.1093/ajae/aat052",
language = "English",
volume = "95",
pages = "1136--1154",
journal = "American Journal of Agricultural Economics",
issn = "0002-9092",
publisher = "Oxford University Press",
number = "5",
}