Reducing preference reversals: The role of preference imprecision and nontransparent methods

Preferences elicited with matching and choice usually diverge (as characterised by preference reversals), violating a basic rationality requirement, namely, procedure invariance. We report the results of an experiment that shows that preference reversals between matching (Standard Gamble in our case...

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Veröffentlicht in:Health economics 2018-08, Vol.27 (8), p.1230-1246
Hauptverfasser: Pinto‐Prades, José Luis, Sánchez‐Martínez, Fernando Ignacio, Abellán‐Perpiñán, José María, Martínez‐Pérez, Jorge E.
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container_end_page 1246
container_issue 8
container_start_page 1230
container_title Health economics
container_volume 27
creator Pinto‐Prades, José Luis
Sánchez‐Martínez, Fernando Ignacio
Abellán‐Perpiñán, José María
Martínez‐Pérez, Jorge E.
description Preferences elicited with matching and choice usually diverge (as characterised by preference reversals), violating a basic rationality requirement, namely, procedure invariance. We report the results of an experiment that shows that preference reversals between matching (Standard Gamble in our case) and choice are reduced when the matching task is conducted using nontransparent methods. Our results suggest that techniques based on nontransparent methods are less influenced by biases (i.e., compatibility effects) than transparent methods. We also observe that imprecision of preferences influences the degree of preference reversals. The preference reversal phenomenon is less strong in subjects with more precise preferences.
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source Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; Wiley Online Library Journals Frontfile Complete
subjects Adult
Bias
choice
Choice Behavior
Decision Making
Gambling
Health economics
health measurement
Humans
Matching
Models, Psychological
Patient Preference
preference imprecision
preference reversals
Preferences
Rationality
Standard Gamble
Young Adult
title Reducing preference reversals: The role of preference imprecision and nontransparent methods
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