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Research interestsApplied Microeconomics (primary)Applied Machine Learning, Economics of Crime, Development Economics (secondary)
Job market paperHate Crime after the Brexit Vote: Heterogeneity Analysis based on a Universal Treatment
I investigate the change in hate crimes targeting the victim's race or religion after the Brexit vote. The vote represents a public information shock about the preferences of insiders regarding outsiders. My results reveal a substantial and transitory increase in such crimes following the vote. The central focus of my analysis is the considerable spatial heterogeneity of this increase. Areas with a greater increase in hate crime are characterized by both a greater immigrant share, and higher income proxies. Differences in unemployment rates do not significantly contribute to the observed variance. More specifically, parsimonious linear prediction models show the shares of recent immigrants and people with formal qualifications as key predictors of the hate crime increase. My findings are consistent with treating the Brexit vote as an update of expected social sanctions to hate offenders. Issues of multiple hypothesis testing and model selection limit the use of classic methods; therefore I apply and adapt recent machine learning methods as well.
Placement OfficerProfessor Mark Schankerman
SupervisorProfessor Maitreesh Ghatak
ReferencesProfessor Maitreesh Ghatak Professor Tom KirchmaierProfessor Taisuke OtsuDr. Gharad Bryan
Phone number: +44 75 7721 52 32
Office AddressDepartment of Economics, London School of Economics and Political Science, Houghton Street, London WC2A 2AE
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