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Context effects and the temporal stability of stated preferences
Ulf Liebe1, Cordula Hundeshagen2, Heiko Beyer3
1Institute of Sociology, University of Bern, Fabrikstrasse 8, CH-3012 Bern, Switzerland.
Social Science Research
|October 8, 2016
Summary
Stated preference studies show reliable results, with preferences remaining stable over time. Question order influences ethical consumption choices, but does not undermine the overall validity of these studies.
Area of Science:
- Behavioral Economics
- Consumer Psychology
- Ethical Consumption Studies
Background:
- Stated preference studies assume respondent answers reflect true, stable preferences.
- Validity and reliability are crucial for the credibility of these studies.
- Ethical consumption choices, particularly for products with political implications, require careful examination.
Purpose of the Study:
- To test the validity and reliability assumptions of stated preference studies.
- To examine how question context affects preferences for ethical products.
- To assess the temporal stability of preferences amidst external events.
Main Methods:
- A choice experiment was used to measure preferences for Israeli, Palestinian, and organic products.
- A web survey in Germany manipulated question order (attitudinal questions before/after choice tasks).
- The experiment was replicated ten months later, following a major Israeli-Palestinian conflict.
Main Results:
- A directional context effect was observed: placing attitudinal questions first increased the valuation of Israeli, Palestinian, and Peace Products.
- Organic product valuation decreased when discriminatory attitudes were surveyed beforehand, suggesting an anti-discrimination norm.
- Despite a significant geopolitical event, stated preferences demonstrated high temporal stability.
Conclusions:
- Stated preference studies exhibit high reliability and temporal stability.
- Question context can influence stated preferences, highlighting the need for careful survey design.
- Findings support the use of stated preference data by decision-makers in policy and business.
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