The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Hedonic housing prices and the demand for clean air
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Citations
Cites
A New Approach to Consumer Theory
Lancaster, K. J. (1966) · Journal of Political Economy · doi:10.1086/259131 · Cited by 8,471
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Kokhlikyan, N., Miglani, V., Martin, M., Wang, E., Alsallakh, B., Reynolds, J., Melnikov, A., Kliushkina, N., Araya, C., Yan, S., et al. (2020) · arXiv · doi:10.48550/arxiv.2009.07896 · Cited by 658
Explaining the Explainer: A First Theoretical Analysis of LIME
Garreau, D., & von Luxburg, U. (2020) · arXiv · doi:10.48550/arxiv.2001.03447 · Cited by 143
The health and visibility cost of air pollution: a comparison of estimation methods
Delucchi, M. A., Murphy, J. J., & McCubbin, D. R. (2002) · Journal of Environmental Management · doi:10.1006/jema.2001.0515 · Cited by 97
COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations
Abdul, A., von der Weth, C., Kankanhalli, M., & Lim, B. Y. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376615 · Cited by 96
Relevance Vector Machines: Sparse Classification Methods for QSAR
Burden, F. R., & Winkler, D. A. (2015) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.5b00261 · Cited by 51
Unjustified Classification Regions and Counterfactual Explanations in Machine Learning
Laugel, T., Lesot, M.-J., Marsala, C., Renard, X., & Detyniecki, M. (2020) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-46147-8_3 · Cited by 28
Testing conditional independence in supervised learning algorithms
Watson, D. S., & Wright, M. N. (2021) · Machine Learning · doi:10.1007/s10994-021-06030-6 · Cited by 13
Eisbach, S., Mai, O., & Hertel, G. (2024) · New Ideas in Psychology · doi:10.1016/j.newideapsych.2024.101077 · Cited by 12
Metadata
- Authors
- Harrison, D., & Rubinfeld, D. L.
- Venue
- Journal of Environmental Economics and Management
- Publisher
- Elsevier BV
- Published
- 1978-03
- Volume
- 5
- Issue
- 1
- Pages
- 81-102
- ISSN
- 0095-0696 (ISSN-L)
- OpenAlex
- W2029469881
- Cited by
- 1,854
- References
- 1
- FWCI
- 42.91
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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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.
