Estimating the effect of crime (maps) on house prices using a (un)natural experiment
| Autor: | Zhang, Meng Le, Adepeju, Monsuru, Thomas, Rhiannon |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | ORCID Datacite |
| DOI: | 10.17605/osf.io/gty34 |
| Popis: | 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 primary research questions are: RQ1. Did police.uk crime statistics affect property prices? RQ2. What is the effect of a one-unit increase in crime around a house (as reported by crime maps) on its selling price? |
| Databáze: | OpenAIRE |
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