The DOI matches its Crossref record.
Customers' Choice Among Retail Energy Suppliers: The Willingness-to-Pay for Service Attributes
Abstract
We examine small/medium commercial and industrial customers' choices among energy suppliers in conjoint-type experiments. The distribution of customers' willingness to pay is estimated for more than 40 attributes of suppliers, including sign-up bonuses, amount and type of renewables, billing options, bundling with other services, reductions in voltage fluctuations, and charitable contributions. These estimates provide guidance for suppliers in designing service options and to economists in anticipating the services that will be offered in competitive retail energy markets.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Economic Perspectives on Corporate Social Responsibility
Kitzmueller, M., & Shimshack, J. (2012) · Journal of Economic Literature · doi:10.1257/jel.50.1.51 · Cited by 1,116
Models of Decision Making and Residential Energy Use
Wilson, C., & Dowlatabadi, H. (2007) · Annual Review of Environment and Resources · doi:10.1146/annurev.energy.32.053006.141137 · Cited by 818
The Role of Energy in Economic Growth
Stern, D. I. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2010.05921.x · Cited by 617
Generalized random utility model
Walker, J., & Ben-Akiva, M. (2002) · Mathematical Social Sciences · doi:10.1016/s0165-4896(02)00023-9 · Cited by 565
Causal relationship between energy consumption and GDP revisited: the case of Korea 1970–1999
Oh, W., & Lee, K. (2004) · Energy Economics · doi:10.1016/s0140-9883(03)00030-6 · Cited by 543
Metadata
- Authors
- Goett, A. A., Hudson, K., & Train, K. E.
- Venue
- The Energy Journal
- Publisher
- SAGE Publications
- Published
- 2000-10
- Volume
- 21
- Issue
- 4
- Pages
- 1-28
- ISSN
- 0195-6574 (ISSN-L)
- 1944-9089
- OpenAlex
- W2054012260
- Cited by
- 348
- References
- 0
- FWCI
- 15.28
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Customers' Choice Among Retail Energy Suppliers: The Willingness-to-Pay for Service Attributes. https://app.cochat.ai/papers/10.5547/issn0195-6574-ej-vol21-no4-1
- The paper
- Goett, A. A., Hudson, K., & Train, K. E. (2000). Customers' Choice Among Retail Energy Suppliers: The Willingness-to-Pay for Service Attributes. The Energy Journal. https://doi.org/10.5547/issn0195-6574-ej-vol21-no4-1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
