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Using an integrated choice and latent variable model to understand the impact of “professional” respondents in a stated preference survey
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Economics. Umeå University, Faculty of Social Sciences, Centre for Environmental and Resource Economics (CERE).ORCID iD: 0000-0002-5187-4280
2019 (English)Report (Other academic)
Abstract [en]

Internet panels are increasingly used for stated preference research, and members of such panels receive compensation for each completed survey. One concern is that over time this creates professional respondents who answer surveys to receive the monetary compensation. We identify professional respondents using data on panel tenure, survey response frequency, completion rates and total number of completed surveys. We find evidence of two types of professional respondents: “hyperactives” who answer surveys frequently and “experienced” who have long panel tenure and a large number of completed surveys. Using an integrated choice and latent variable model in a stated preference survey, we find that “hyperactive” respondents are less likely to choose the ’status quo’ and have a more stochastic choice process as seen from the econometrician’s point of view, whereas “experienced” respondents have a relatively more deterministic choice process. Our results show that “hyperactive” respondents significantly impact estimated values.

Place, publisher, year, edition, pages
2019.
Series
CERE Working Paper ; 2019:3
National Category
Economics
Research subject
Economics
Identifiers
URN: urn:nbn:se:umu:diva-163416DOI: 10.2139/ssrn.3368948OAI: oai:DiVA.org:umu-163416DiVA, id: diva2:1352556
Available from: 2019-09-19 Created: 2019-09-19 Last updated: 2019-09-19

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf