Measuring long‐run gasoline price elasticities in urban travel demand
Javier D. Donna
RAND Journal of Economics, 2021, vol. 52, issue 4, 945-994
I develop a structural model of urban travel to estimate long‐run gasoline price elasticities. I model the demand for transportation services using a dynamic discrete‐choice model with switching costs and estimate it using a panel dataset with public market‐level data on automobile and public transit use in Chicago. Long‐run own‐ (automobile) and cross‐ (transit) price elasticities are substantially more elastic than short‐run elasticities. Elasticity estimates from static and myopic models are downward biased. I use the estimated model to evaluate the response to several counterfactual policies. A gasoline tax is less regressive after accounting for the long‐run substitution behavior.
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:bla:randje:v:52:y:2021:i:4:p:945-994
Ordering information: This journal article can be ordered from
http://www.blackwell ... al.asp?ref=0741-6261
Access Statistics for this article
RAND Journal of Economics is currently edited by James Hosek
More articles in RAND Journal of Economics from RAND Corporation Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().