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Cited by 188

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The Incidence of a U.S. Carbon Tax: A Lifetime and Regional Analysis

Hassett, Kevin A., Mathur, Aparna, Metcalf, Gilbert E.·2009·The Energy Journal

Abstract

This paper measures the direct and indirect incidence of a carbon tax using current income and two measures of lifetime income to rank households. Our results suggest that carbon taxes are more regressive when annual income is used as a measure of economic welfare than when lifetime income measures are used. Further, the direct component of the tax, in any given year, is significantly more regressive than the indirect component. We observe a modest shift over time with the direct component of carbon taxes becoming less regressive and the indirect component becoming more regressive. These effects mostly offset each other and the distribution of the total tax burden has not changed much over time. In addition we find that regional variation has fluctuated over the years of our analysis. By 2003 there is little systematic variation in carbon tax burdens across regions of the country.

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Metadata

Authors
Hassett, K. A., Mathur, A., & Metcalf, G. E.
Venue
The Energy Journal
Published
2009-04
Volume
30
Issue
2
Pages
155-178
ISSN
  • 0195-6574 (ISSN-L)
  • 1944-9089
OpenAlex
W2069100633
Cited by
188
References
1
FWCI
26.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Incidence of a U.S. Carbon Tax: A Lifetime and Regional Analysis. https://app.cochat.ai/papers/10.5547/issn0195-6574-ej-vol30-no2-8
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Hassett, K. A., Mathur, A., & Metcalf, G. E. (2009). The Incidence of a U.S. Carbon Tax: A Lifetime and Regional Analysis. The Energy Journal. https://doi.org/10.5547/issn0195-6574-ej-vol30-no2-8

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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.