Estimating individual driving distance by car and public transport use in Sweden
How much to drive, and how much to use public transport, are modelled as three- and two level decisions, respectively, based on micro-data for Sweden. The choices whether to have a car, whether to drive given access to a car, and how much to drive given that the individual drives at all are then estimated using a three equation model. Also after correcting for other variables, such as income, men are driving much more, and using less public transport, compared to women. People living in big cities are less likely to drive, but those who do are on average driving about as much as others. Age and access to company-cars are also important determinants for travel behaviour, but being a member of an environmental organisation is not. Driving increases with income, but to a lower degree compared to most aggregated studies on national level. The difference is explained in a simple model with income-dependent structural changes, implying that it becomes more difficult to live without a car when average income increases. This indirect effect is found to be of a similar size as the ordinary income elasticity typically found in cross-section analysis within a country or region.
|Date of creation:||28 Feb 2001|
|Date of revision:|
|Contact details of provider:|| Postal: Department of Economics, School of Business, Economics and Law, University of Gothenburg, Box 640, SE 405 30 GÖTEBORG, Sweden|
Phone: 031-773 10 00
Web page: http://www.handels.gu.se/econ/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- De Jong, G. C., 1990. "An indirect utility model of car ownership and private car use," European Economic Review, Elsevier, vol. 34(5), pages 971-985, July.
- Heckman, James, 2013.
"Sample selection bias as a specification error,"
Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
- Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-44, September.
- Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
- Kjell Arne Brekke & Richard B. Howarth, 1998. "The Social Contingency of Wants Implications for Growth and the Environment," Discussion Papers 227, Statistics Norway, Research Department.
- McDonald, John F & Moffitt, Robert A, 1980. "The Uses of Tobit Analysis," The Review of Economics and Statistics, MIT Press, vol. 62(2), pages 318-21, May.
- Dahl, Carol & Sterner, Thomas, 1991. "Analysing gasoline demand elasticities: a survey," Energy Economics, Elsevier, vol. 13(3), pages 203-210, July.
When requesting a correction, please mention this item's handle: RePEc:hhs:gunwpe:0036. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Marie Andersson)
If references are entirely missing, you can add them using this form.