Estimating the effect of crime (maps) on house prices using a (un)natural experiment
Meng Le Zhang,
Monsuru Adepeju and
Rhiannon Thomas
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Meng Le Zhang: University of Sheffield
No 9zupw, SocArXiv from Center for Open Science
Abstract:
Crime may affect house prices through mediating causal pathways--such as the destruction of property or victimisation of locals. One mediating pathway is the 'signalling' effect of crime which may decrease house prices in high crime areas due to a perception of increased victimisation or other factors like undesirable neighbours. The public may form their opinions about crime from several sources, from word of mouth to official statistics. Since 2011, online public crime maps have published monthly crime figures at almost street-level resolution (Sampson and Kinnear 2010; see https://www.police.uk/pu/your-area/). At its launch in February 2011, the crime map website (henceforth referred to by its domain name police.uk) received over 18 million visits an hour which caused the website to crash repeatedly (Travis and Mulholland 2011). This project will estimate the signalling effects of crime maps on house prices using a natural experiment that leverages intentional errors in public information -- caused by data anonymisation techniques -- as a source of variation. The aim of this pre-registration is to specify the research plan in ahead of data collection/ access.
Date: 2022-04-02
New Economics Papers: this item is included in nep-ure
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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:9zupw
DOI: 10.31219/osf.io/9zupw
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