Household gasoline demand in the United States
Continuing rapid growth in U.S. gasoline consumption threatens to exacerbate environmental and congestion problems. We use flexible semiparametric and nonparametric methods to guide analysis of household gasoline consumption, and including this variable cuts the estimated income elasticity in half....
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Format: | Working Paper |
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MIT Center for Energy and Environmental Policy Research
2009
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Online Access: | http://hdl.handle.net/1721.1/50215 |
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author | Schmalensee, Richard Stoker, Thomas M. |
author2 | Massachusetts Institute of Technology. Center for Energy and Environmental Policy Research. |
author_facet | Massachusetts Institute of Technology. Center for Energy and Environmental Policy Research. Schmalensee, Richard Stoker, Thomas M. |
author_sort | Schmalensee, Richard |
collection | MIT |
description | Continuing rapid growth in U.S. gasoline consumption threatens to exacerbate environmental and congestion problems. We use flexible semiparametric and nonparametric methods to guide analysis of household gasoline consumption, and including this variable cuts the estimated income elasticity in half. Slower projected future growth in licensed drivers points to slower growth in gasoline consumption. A parsimonious representation of age, income, lifecycle and location effects is developed and tested. We show how flexible methods also helped reveal fundamental problems with the available price data. |
first_indexed | 2024-09-23T16:19:08Z |
format | Working Paper |
id | mit-1721.1/50215 |
institution | Massachusetts Institute of Technology |
last_indexed | 2024-09-23T16:19:08Z |
publishDate | 2009 |
publisher | MIT Center for Energy and Environmental Policy Research |
record_format | dspace |
spelling | mit-1721.1/502152019-04-12T23:31:15Z Household gasoline demand in the United States Schmalensee, Richard Stoker, Thomas M. Massachusetts Institute of Technology. Center for Energy and Environmental Policy Research. Continuing rapid growth in U.S. gasoline consumption threatens to exacerbate environmental and congestion problems. We use flexible semiparametric and nonparametric methods to guide analysis of household gasoline consumption, and including this variable cuts the estimated income elasticity in half. Slower projected future growth in licensed drivers points to slower growth in gasoline consumption. A parsimonious representation of age, income, lifecycle and location effects is developed and tested. We show how flexible methods also helped reveal fundamental problems with the available price data. Supported by the MIT Center for Energy and Environmental Policy Research, the U.S. Dept. of Energy and the National Science Foundation. 2009-12-16T00:01:12Z 2009-12-16T00:01:12Z 1995 Working Paper 95007 http://hdl.handle.net/1721.1/50215 35721241 MIT-CEEPR (Series) ; 95-007WP. 32 p., [9] p. of plates application/pdf MIT Center for Energy and Environmental Policy Research |
spellingShingle | Schmalensee, Richard Stoker, Thomas M. Household gasoline demand in the United States |
title | Household gasoline demand in the United States |
title_full | Household gasoline demand in the United States |
title_fullStr | Household gasoline demand in the United States |
title_full_unstemmed | Household gasoline demand in the United States |
title_short | Household gasoline demand in the United States |
title_sort | household gasoline demand in the united states |
url | http://hdl.handle.net/1721.1/50215 |
work_keys_str_mv | AT schmalenseerichard householdgasolinedemandintheunitedstates AT stokerthomasm householdgasolinedemandintheunitedstates |