Collado Van-Baumberghen, Natalia Linares Llamas, Pedro Labeaga Azcona, José M. 2026-04-09T04:49:28Z 2026-04-09T04:49:28Z http://hdl.handle.net/11531/109490 While congestion pricing has been widely implemented, empirical evidence on price elasticities remains limited and often relies on discrete policy changes or low-frequency data, which constrain identification. Moreover, there is virtually no econometric evidence on demand elasticity in managed lanes in interurban environments with time-of-day-varying tolls. Using high-frequency hourly data from two major California corridors, we estimate demand elasticity within a panel regression framework that exploits variation in tolls across routes, hours, and days of the week. This approach allows us to identify short-run demand responses from continuous within-sample price variation, overcoming key limitations in the existing literature. We also analyze how responsiveness evolves over time, capturing medium-run behavioral adjustments. Our results provide new evidence on user price sensitivity in managed lanes settings and contribute to a more robust understanding of congestion pricing as a demand management tool. The findings have implications for the design and evaluation of pricing policies, particularly in assessing whether such schemes effectively mitigate congestion or primarily redistribute traffic.   application/pdf en-GB Do users respond to congestion pricing? Evidence on demand elasticity from managed lanes info:eu-repo/semantics/workingPaper info:eu-repo/semantics/draft info:eu-repo/semantics/restrictedAccess Congestion pricing, demand elasticity, managed lanes, time-of-day pricing