|Appears in Collections:||Economics Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Elimination and selection by aspects in health choice experiments: Prioritising health service innovations|
|Keywords:||Discrete Choice Experiments|
Elimination by aspects
Selection by aspects
Latent class logit model
Health service innovations
|Citation:||Erdem S, Campbell D & Thompson C (2014) Elimination and selection by aspects in health choice experiments: Prioritising health service innovations, Journal of Health Economics, 38, pp. 10-22.|
|Abstract:||Priorities for public health innovations are typically not considered equally by all members of the public. When faced with a choice between various innovation options, it is, therefore, possible that some respondents eliminate and/or select innovations based on certain characteristics. This paper proposes a flexible method for exploring and accommodating situations where respondents exhibit such behaviours, whilst addressing preference heterogeneity. We present an empirical case study on the public's preferences for health service innovations. We show that allowing for elimination-by-aspects and/or selection-by-aspects behavioural rules leads to substantial improvements in model fit and, importantly, has implications for willingness to pay estimates and scenario analysis.|
|Rights:||The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.|
|journal of health economics 2014.pdf||905.36 kB||Adobe PDF||Under Permanent Embargo Request a copy|
Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
If you believe that any material held in STORRE infringes copyright, please contact firstname.lastname@example.org providing details and we will remove the Work from public display in STORRE and investigate your claim.