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. 2022 Apr 30;20(3):799–830. doi: 10.1007/s11150-022-09607-9

Table 4.

The Impact of the pandemic on domestic violence reports, by type of violence

Source Type of Violence Estimated Effect (β)
Calls IHS (Calls)
Coef. S.E. Coef. S.E. % Change
Buenos Aires (Domestic Violence Hotline) Overall 13.66*** (1.060) 0.613*** (0.0513) 84
Psychological 6.386*** (0.523) 0.924*** (0.0889) 151
Physical 3.676*** (0.656) 0.344*** (0.0696) 41
Peru (Domestic Violence Hotline) Overall 151.7*** (20.08) 0.150** (0.0617) 16
Psychological 56.20*** (6.507) 0.248*** (0.0648) 28
Physical −27.26*** (6.288) −0.201*** (0.0640) −18
Costa Rica (Emergency Line) Overall −12.68*** (3.768) −0.103*** (0.0301) −10
Psychological −11.85*** (3.157) −0.124*** (0.0322) −12
Physical 0.308 (1.218) 0.0659 (0.0768) 6
Ecuador (Police Reports) Overall −18.72*** (4.055) −0.533*** (0.0677) −41
Psychological −17.35*** (3.193) −0.599*** (0.0717) −45
Physical −1.174 (0.998) −0.344*** (0.107) −30

Source: Authors’ calculations based on data from sources described in Section III

Note: The table presents the results of the OLS estimation of Eq. (1). We separately estimate the model for the different types of reports in each country, depending on the type of violence reported. We express the β coefficient as a percentage change following Bellemare and Wichman (2020). We use daily data from January 1 to June 30 for the available years (see Section III for more details). We estimate heteroscedasticity robust standard errors. Stars denote statistical significance: * 10 percent level. ** 5 percent level. *** 1 percent level