Can a Repeated Opt-Out Reminder remove hypothetical bias in discrete choice experiments? An application to consumer valuation of novel food products
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- Wuepper, David & Clemm, Alexandra & Wree, Philipp, 2019. "The preference for sustainable coffee and a new approach for dealing with hypothetical bias," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 475-486.
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More about this item
Keywords
Hypothetical bias; novel food; repeated opt-out reminder; willingness to pay;All these keywords.
JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
- C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
- Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
- Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
- Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
NEP fields
This paper has been announced in the following NEP Reports:- NEP-AGR-2017-05-07 (Agricultural Economics)
- NEP-DCM-2017-05-07 (Discrete Choice Models)
- NEP-EXP-2017-05-07 (Experimental Economics)
- NEP-MKT-2017-05-07 (Marketing)
Statistics
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