Published:
Cambridge, Mass: National Bureau of Economic Research, January 2009
Published in:NBER working paper series ; no. w14685
Extent:
1 Online-Ressource
Language:
English
DOI:
10.3386/w14685
Identifier:
Reproduction note:
Hardcopy version available to institutional subscribers
Origination:
Footnote:
Mode of access: World Wide Web
System requirements: Adobe [Acrobat] Reader required for PDF files
Description:
Several policy makers and economists have proposed the adoption of a carbon tax in the United States. It is widely recognized that such a tax in practice must take the form of a tax on the consumption of energy products such as gasoline. Although a large existing literature examines the sensitivity of gasoline consumption to changes in price, these estimates may not be appropriate for evaluating the effectiveness of such a tax. First, most of these studies fail to address the endogeneity of gasoline prices. Second, the responsiveness of gasoline consumption to a change in tax may differ from the responsiveness of consumption to an average change in price. We address these challenges using a variety of methods including traditional single-equation regression models, estimated by least squares or instrumental variables methods, and structural vector autoregressions. We compare the results from these approaches, highlighting the advantages and disadvantages of each. Our preferred approach exploits the historical variation in U.S. federal and state gasoline taxes. Our most credible estimates imply that a 10 cent per gallon increase in the gasoline tax would reduce carbon emissions from vehicles in the United States by about 1.5%