Do High Oil Prices Matter? – Evidence on the Mobility Behavior of German Households
Focusing on travel survey data from Germany, this paper investigates the determinants of automobile travel, with the specific aim of quantifying the effects of fuel prices and fuel economy. The analysis is predicated on the notion that car mileage is a two-stage decision process, comprising the discrete choice of whether to own a car and the continuous choice of distance traveled. To capture this process, we employ censored regression models consisting of Probit and OLS estimators, which allows us to gauge the extent to which sample selectivity may bias the results. Our elasticity estimates indicate a significant positive association between increased fuel economy and increased driving, and a significantly negative fuel-price elasticity, which ranges between –35% and –41%.Taken together, these results suggest that fuel taxes are likely to be a more effective policy measure in reducing emissions than fuelefficiency standards.
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- West, Sarah E., 2004. "Distributional effects of alternative vehicle pollution control policies," Journal of Public Economics, Elsevier, vol. 88(3-4), pages 735-757, March.
- Manuel Frondel & Jorg Peters & Colin Vance, 2008.
"Identifying the Rebound: Evidence from a German Household Panel,"
The Energy Journal,
International Association for Energy Economics, vol. 0(Number 4), pages 145-164.
- Frondel, Manuel & Peters, Jörg & Vance, Colin, 2007. "Identifying the Rebound - Evidence from a German Household Panel," Ruhr Economic Papers 32, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- David L. Greene & James R. Kahn & Robert C. Gibson, 1999. "Fuel Economy Rebound Effect for U.S. Household Vehicles," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-31.
- Hay, Joel W & Olsen, Randall J, 1984. "Let Them Eat Cake: A Note on Comparing Alternative Models of the Demand for Medical Care," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(3), pages 279-282, July.
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