Measuring long‐run gasoline price elasticities in urban travel demand

Javier Donna

RAND Journal of Economics, 2021, vol. 52, issue 4, 945-994

Abstract: 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.

Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://doi.org/10.1111/1756-2171.12397

Related works:
Working Paper: Measuring Long-Run Gasoline Price Elasticities in Urban Travel Demand (2021)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

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 ().