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Cited by 1,292

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

A Comparison of Alternative Models for the Demand for Medical Care

Duan, Naihua, Manning, Willard G., Morris, Carl N., Newhouse, Joseph P.·1983·Journal of Business & Economic Statistics

Abstract

We have tested alternative models of the demand for medical care using experimental data. The estimated response of demand to insurance plan is sensitive to the model used. We therefore use a split-sample analysis and find that a model that more closely approximates distributional assumptions and uses a nonparametric retransformation factor performs better in terms of mean squared forecast error. Simpler models are inferior either because they are not robust to outliers (e.g., ANOVA, ANOCOVA), or because they are inconsistent when strong distributional assumptions are violated (e.g., a two-parameter Box-Cox transformation).

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Crossref · 10.1080/07350015.1983.10509330

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Metadata

Authors
Duan, N., Manning, W. G., Morris, C. N., & Newhouse, J. P.
Venue
Journal of Business & Economic Statistics
Published
1983-04
Volume
1
Issue
2
Pages
115-126
ISSN
  • 0735-0015 (ISSN-L)
  • 1537-2707
OpenAlex
W2058744048
Cited by
1,292
References
3
FWCI
27.27
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Comparison of Alternative Models for the Demand for Medical Care. https://app.cochat.ai/papers/10.1080/07350015.1983.10509330
The paper
Duan, N., Manning, W. G., Morris, C. N., & Newhouse, J. P. (1983). A Comparison of Alternative Models for the Demand for Medical Care. Journal of Business & Economic Statistics. https://doi.org/10.1080/07350015.1983.10509330

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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.