Abstract
This paper studies the relationship between ambient light and criminal activity. I develop a Becker-style crime model that shows that a sudden increase in ambient light produces a larger reduction in crime in areas with less public lighting. Daylight savings time (DST), the natural experiment used, induces a sharp increase in natural light during crime-intense hours. Using geolocated data on crime and public lighting for the city of Montevideo in Uruguay, regression discontinuity estimates identify a strong and statistically significant decrease in robbery of 17%. The decrease is larger in poorly lit areas. Computing the level of public lighting at which DST has no effect on crime reduction, I identify the minimum level of public lighting that an area should target.
| Original language | English |
|---|---|
| Pages (from-to) | 893-934 |
| Number of pages | 42 |
| Journal | Journal of Population Economics |
| Volume | 35 |
| Issue number | 3 |
| DOIs | |
| State | Published - Jul 2022 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- DST
- Heterogeneous effects
- Property crime
- Public lighting
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