Do Crime-Prone Areas Attract Gambling Shops? A Case of London Boroughs

We investigate a causal effect of crime on the number of betting shops by using annual data from London boroughs (2007-2015). Using an instrumental variable strategy, we estimate a panel model accounting for omitted variables and borough-level heterogeneity. Our estimation results show that a 1% inc...

Descripción completa

Guardado en:  
Detalles Bibliográficos
Autor principal: Kumar, Pradeep (Autor)
Otros Autores: Yoshimoto, Hisayuki
Tipo de documento: Electrónico Libro
Lenguaje:Inglés
Acceso en línea: Volltext (kostenfrei)
Verificar disponibilidad: HBZ Gateway
Palabras clave:
Descripción
Sumario:We investigate a causal effect of crime on the number of betting shops by using annual data from London boroughs (2007-2015). Using an instrumental variable strategy, we estimate a panel model accounting for omitted variables and borough-level heterogeneity. Our estimation results show that a 1% increase in crime rate causes a 1.2% increase in the number of betting shops (per capita). Put differently, a new betting shop opens in a borough for every 1.4% increase in the local crime rate, on average. The causal effect is robust across a variety of specifications, although the magnitude varies across models