The DOI matches its Crossref record.
Non-Parametric Tests of Consumer Behaviour
Abstract
This paper shows how to test demand data for consistency with maximization, homotheticity, various forms of separability, and a rationing model without making any assumptions concerning the parametric form of underlying demand or utility functions.
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Citations
Cited by
Lusk, J. L., & Briggeman, B. C. (2009) · American Journal of Agricultural Economics · doi:10.1111/j.1467-8276.2008.01175.x · Cited by 641
Non-parametric analysis of optimizing behavior with measurement error
Varian, H. R. (1985) · Journal of Econometrics · doi:10.1016/0304-4076(85)90150-2 · Cited by 286
Self-citationNonparametric Estimation of Exact Consumers Surplus and Deadweight Loss
Hausman, J. A., & Newey, W. K. (1995) · Econometrica · doi:10.2307/2171777 · Cited by 284
Choi, S., Kariv, S., Müller, W., & Silverman, D. (2014) · American Economic Review · doi:10.1257/aer.104.6.1518 · Cited by 277
Nonparametric Engel Curves and Revealed Preference
Blundell, R. W., Browning, M., & Crawford, I. A. (2003) · Econometrica · doi:10.1111/1468-0262.00394 · Cited by 263
Metadata
- Authors
- Varian, H. R.
- Venue
- The Review of Economic Studies
- Publisher
- Oxford University Press (OUP)
- Published
- 1983-01
- Volume
- 50
- Issue
- 1
- Pages
- 99
- ISSN
- 0034-6527 (ISSN-L)
- OpenAlex
- W2000804318
- Cited by
- 483
- References
- 0
- FWCI
- 16.67
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Non-Parametric Tests of Consumer Behaviour. https://app.cochat.ai/papers/10.2307/2296957
- The paper
- Varian, H. R. (1983). Non-Parametric Tests of Consumer Behaviour. The Review of Economic Studies. https://doi.org/10.2307/2296957
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.
