Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/226295
Authors: 
Anderberg, Dan
Rainer, Helmut
Siuda, Fabian
Year of Publication: 
2020
Series/Report no.: 
CESifo Working Paper No. 8593
Abstract: 
We propose a model that (i) provides an algorithm for measuring temporal variation in domestic violence incidence based on internet search activity and (ii) makes precise the conditions under which this measure yields less biased estimates of the domestic violence problem during periods of crisis than traditional, police-recorded crime measures. Analyzing the COVID-19 lockdown in Greater London, we find a 40 percent peak increase in our internet search-based domestic violence index, 7-8 times larger than the increase in police recorded crimes and much closer to the increase reported by victim support charities in relation to helpline calls.
Subjects: 
COVID-19
domestic violence
police-recorded crime
internet search data
signal-to-noise
JEL: 
J12
I18
Document Type: 
Working Paper

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