Can you ever be certain? Reducing hypothetical bias in stated choice experiments via respondent reported choice certainty
By Matthew Beck, S. Fifer, John M. Rose. 2016
113 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Transportation
View Paper: https://www.semanticscholar.org/paper/09151cb0210cd678d99a43fbf82134a91fa61103
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Michiel C. J. Bliemer
- John M. Rose
- Emily Lancsar
- Milad Haghani
- Harmen Oppewal
- Stefan Peer
- Rostislav Staněk
- Bára Karlínová
In Transportation
- John M. Rose
- Michiel C. J. Bliemer
- Emily Lancsar
- Milad Haghani
- Harmen Oppewal
- Rostislav Staněk
- Stefan Peer
- Bára Karlínová
Citations in the corpus
- Hypothetical bias in stated choice experiments: Part II. Macro-scale analysis of literature and effectiveness of bias mitigation methods (2021, methodology): “…Between Absolute Yes - SC model estimates were prone to HB - Cheap talk and certainty scales when combined have the potential to compensate for HB Beck et al. (2016) Certainty scale Driving behaviour Between Absolute Mixed - Incorrect calibration of responses can worsen the magnitude of HB -”
- Real consequences matter: Why hypothetical biases in the valuation of time persist even in controlled lab experiments (2019, background): “Also approaches for ex-post corrections of hypothetical biases have been suggested, often based on the certainty indicated by the respondent (“certainty correction”) regarding his/her choice (Beck et al., 2016; Blumenschein et al., 1998).”