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Replication data for: Inferring Carbon Abatement Costs in Electricity Markets: A Revealed Preference Approach Using the Shale Revolution

Version
V0
Resource Type
Dataset
Creator
  • Cullen, Joseph A.
  • Mansur, Erin T.
Publication Date
2017-01-02
Description
  • Abstract

    This paper examines how carbon pricing would reduce emissions in the electricity sector. Both carbon prices and cheap natural gas reduce the historic cost advantage of coal plants. The shale revolution resulted in unprecedented variation in natural gas prices that we use to estimate the potential near-term effects of carbon prices. Estimates imply that a price of $20 ($70) per ton of CO2 would reduce emissions by 5 (10) percent. Carbon prices are most effective at reducing emissions when natural gas prices are low, but have negligible effects when gas prices are at levels seen prior to the shale revolution.
Availability
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Relations
  • Is supplemented by
    DOI: 10.1257/pol.20150388 (Text)
Publications
  • Cullen, Joseph A., and Erin T. Mansur. “Inferring Carbon Abatement Costs in Electricity Markets: A Revealed Preference Approach Using the Shale Revolution.” American Economic Journal: Economic Policy 9, no. 3 (August 2017): 106–33. https://doi.org/10.1257/pol.20150388.
    • ID: 10.1257/pol.20150388 (DOI)

Update Metadata: 2019-11-11 | Issue Number: 2 | Registration Date: 2019-10-13

Cullen, Joseph A.; Mansur, Erin T. (2017): Replication data for: Inferring Carbon Abatement Costs in Electricity Markets: A Revealed Preference Approach Using the Shale Revolution. Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E114662