Preference heterogeneity in energy discrete choice experiments: A review on methods for model selection

Julian Sagebiel ()

Renewable and Sustainable Energy Reviews, 2017, vol. 69, issue C, 804-811

Abstract: Discrete choice experiments are increasingly utilized to inform policy makers in various fields in energy on consumer preferences and willingness to pay values. When translating the results into policy recommendations, it is often difficult for non-experts to understand the underlying implications of different models and associated behavioral assumptions. In this paper, I review proposed methods to compare the two most frequently applied models, the random parameters logit model and the latent class logit model and investigate the challenges in and implications of model choice for policy makers and practitioners. As an example application, I use data from a discrete choice experiment on private households’ preferences for electricity supply quality in Hyderabad, India. The procedures used in the comparative analysis – measures of fit, tests for non-nested models, kernel density estimates of conditional willingness to pay values and choice probabilities – emphasize the difficulties in finding the ‘correct’ model. The methods presented here can be readily used by other researchers to better understand model performance which ultimately contributes to improving model choice in applied energy research.

Keywords: Consumer preferences; Latent class logit model; Random parameters model; Willingness to pay; Unobserved preference heterogeneity (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1364032116308796
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:rensus:v:69:y:2017:i:c:p:804-811

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic
http://www.elsevier. ... 600126/bibliographic

DOI: 10.1016/j.rser.2016.11.138

Access Statistics for this article

Renewable and Sustainable Energy Reviews is currently edited by L. Kazmerski

More articles in Renewable and Sustainable Energy Reviews from Elsevier
Bibliographic data for series maintained by Catherine Liu ().