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Traffic and crime

Research output: Contribution to journalArticlepeer-review

Abstract

We study the link between crime and extreme traffic congestion to estimate the psychological costs of traffic. Our empirical analysis combines police incident reports with observations of local traffic data in Los Angeles from 2011 to 2015. This rich dataset allows us to link traffic with criminal activity at a fine spatial and temporal dimension. Our identification relies on deviations from normal traffic to isolate the impact of abnormally high traffic on crime. We find that extreme traffic increases the incidence of domestic violence, a crime shown to be affected by emotional cues, but not other crimes. The result is robust to a variety of specifications and falsification tests. The results represent a lower bound of the psychological costs of traffic congestion, since most drivers stuck in traffic do not commit domestic violence but still bear some emotional costs.

Original languageEnglish (US)
Pages (from-to)96-116
Number of pages21
JournalJournal of Public Economics
Volume160
DOIs
StatePublished - Apr 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 5 - Gender Equality
    SDG 5 Gender Equality
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  3. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

All Science Journal Classification (ASJC) codes

  • Finance
  • Economics and Econometrics

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