The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences
Armin Falk,
Anke Becker (),
Thomas Dohmen,
David Huffman and
Uwe Sunde ()
Additional contact information
Anke Becker: Harvard Business School, Boston, Massachusetts 02163
Uwe Sunde: University of Munich, Munich D-80539, Germany
Management Science, 2023, vol. 69, issue 4, 1935-1950
Abstract:
Incentivized choice experiments are a key approach to measuring preferences in economics but are also costly. Survey measures are a low-cost alternative but can suffer from additional forms of measurement error due to their hypothetical nature. This paper seeks to leverage the strengths of both approaches by proposing a new survey module on risk aversion, time discounting, trust, altruism, positive and negative reciprocity, in which survey items are selected based on ability to predict choices in corresponding, incentivized experiments. The methodology and results provided in the paper can also potentially provide a model for researchers who have specific requirements and want to design their own modules.
Keywords: survey validation; experiment; preference measurement (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (86)
Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.2022.4455 (application/pdf)
Related works:
Working Paper: The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences (2016) 
Working Paper: The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences (2016) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:69:y:2023:i:4:p:1935-1950
Access Statistics for this article
More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().