An investigation of the impacts of economic conditions on vehicle miles traveled: a vector error-correction approach
| dc.creator | Sikka, Nikhil | |
| dc.creator | Sun, Jielin | |
| dc.date | 2017-04-01T20:06:49Z | |
| dc.date.accessioned | 2026-07-09T09:28:56Z | |
| dc.description | In this paper, we estimate the long-run gasoline price and income elasticity of VMT for the period 2000-2008. Most of the previous studies use the very common classes of time series methods that are the autoregressive integrated moving average (ARIMA) models. We advance the analytical framework to include a vector error-correction (VEC) regression technique that overcomes several limitations of ARIMA models. We find that long-run gasoline price elasticity to VMT ranges from -0.31 to -0.88, and income elasticity ranges from 0.18 to 0.49. | |
| dc.identifier | doi:10.22004/ag.econ.207734 | |
| dc.identifier | https://ageconsearch.umn.edu/record/207734/files/2009_92_VehicleMilesTraveled_paper.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/207734 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/609349 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/207734 | |
| dc.title | An investigation of the impacts of economic conditions on vehicle miles traveled: a vector error-correction approach | |
| dc.type | Text |