Replication data for: Subways, Strikes, and Slowdowns: The Impacts of Public Transit on Traffic Congestion

Name: Replication data for: Subways, Strikes, and Slowdowns: The Impacts of Public Transit on Traffic Congestion
Published: Mon Sep 01 00:00:00 EDT 2014
License: This work is licensed under an Other license created by the data depositor. Please refer to the LICENSE file, which should be located alongside the project data and documentation.
Keywords: Regression Discontinuity

Name	File Type	Size	Last Modified
Data			10/19/2021 03:02:PM
LICENSE.txt	text/plain	14.6 KB	10/11/2019 06:54:PM

Project Citation:

Anderson, Michael L. Replication data for: Subways, Strikes, and Slowdowns: The Impacts of Public Transit on Traffic Congestion. Nashville, TN: American Economic Association [publisher], 2014. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112854V1

Project Description

Summary: Public transit accounts for 1 percent of U.S. passenger miles traveled but attracts strong public support. Using a simple choice model, we predict that transit riders are likely to be individuals who commute along routes with severe roadway delays. These individuals' choices thus have high marginal impacts on congestion. We test this prediction with data from a strike in 2003 by Los Angeles transit workers. Estimating a regression discontinuity design, we find that average highway delay increases 47 percent when transit service ceases. We find that the net benefits of transit systems appear to be much larger than previously believed.

Scope of Project

Subject Terms: Regression Discontinuity

JEL Classification:
      H76 State and Local Government: Other Expenditure Categories
      J52 Dispute Resolution: Strikes, Arbitration, and Mediation; Collective Bargaining
      L92 Railroads and Other Surface Transportation
      R41 Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

Geographic Coverage: Los Angeles County

Time Period(s): 7/2003 – 1/2005

Universe: Major freeways in Los Angeles County

Data Type(s): geographic information system (GIS) data; observational data; program source code; aggregate data

Methodology

Data Source: Caltrans Performance Measurement System (PeMS)

Unit(s) of Observation: Hour-by-freeway segment,

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Published Versions

V1 [2019-10-11]

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