scholarly journals Does differential framing of opt-out alternatives in discrete choice experiments (dces) matter? Comparison of random utility maximization (rum) and random regret minimization (rrm) models

2015 ◽  
Vol 18 (3) ◽  
pp. A24-A25
Author(s):  
S. Chaugule ◽  
J.W. Hay ◽  
G. Young ◽  
O.A. Martin ◽  
E.F. Drabo
2020 ◽  
Vol 13 (2) ◽  
pp. 33-50
Author(s):  
CARLOS GABRIEL CONTRERAS SERRANO

Los modelos económicos ortodoxos, proponen que el ser humano es racional, egoísta y maximizador para hacer sus elecciones de consumo. Evidencia desde la economía del comportamiento reta estos supuestos planteando nuevos modelos para estudiar la elección humana. Estudiando el proceso de elección de productos de cuidado de cultivo en productores de tomate en Colombia, la presente investigación busco comparar estadística y conceptualmente los modelos RUM (Random Utility Maximization) y RRM (Random Regret Minimization) construidos vía modelamiento de elección discreta concluyendo que los modelos RRM logran mejor bondad de ajuste para describir el comportamiento de elección y compra de nematicidas en muestras de productores de tomate colombianos por lo que constituyen una alternativa viable para diseñar nuevos productos, estimar su participación potencial en el mercado y fijarles precio. Palabras clave: Modelamiento de elección discreta, RUM (Random Utility Maximization), RRM (Random Regret Minimization), Economía del comportamiento, Comportamiento de elección.


2019 ◽  
Vol 39 (6) ◽  
pp. 681-692 ◽  
Author(s):  
Domino Determann ◽  
Dorte Gyrd-Hansen ◽  
G. Ardine de Wit ◽  
Esther W. de Bekker-Grob ◽  
Ewout W. Steyerberg ◽  
...  

Background. Discrete choice experiments (DCEs) are increasingly used in the health care context to inform on patient preferences for health care services. In order for such experiments to provide useful and policy-relevant information, it is vital that the design includes those options that the respondent faces in the real-life situation. Whether to include opt-out, neither, or status quo alternatives has, however, received little attention in the DCE literature. We aim to investigate whether the use of different unforced choice formats affects DCE results in different settings: 1) opt-out versus neither in a health care market where there is no status quo and 2) including status quo in addition to opt-out in a health care market with a status quo. Design. A DCE on Dutch citizens’ preferences for personal health records served as our case, and 3189 respondents were allocated to the different unforced choice formats. We used mixed logit error component models to estimate preferences. Results. We found that the use of different unforced choice formats affects marginal utilities and welfare estimates and hence the conclusions that will be drawn from the DCE to inform health care decision making. Conclusions. To avoid biased estimates, we recommend that researchers are hesitant to use the neither option and consider including a status quo in addition to opt-out in settings where a status quo exists.


PLoS ONE ◽  
2014 ◽  
Vol 9 (11) ◽  
pp. e111805 ◽  
Author(s):  
Jorien Veldwijk ◽  
Mattijs S. Lambooij ◽  
Esther W. de Bekker-Grob ◽  
Henriëtte A. Smit ◽  
G. Ardine de Wit

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