Table 5.
The impact of the pandemic on domestic violence reports, cohabitant, and non-cohabitant violence
| Source | Type of Perpetrator | 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 |
| Cohabitant | 7.328*** | (0.726) | 0.581*** | (0.0633) | 78 | |
| Non-cohabitant | 1.833*** | (0.403) | 0.351*** | (0.0872) | 42 | |
| Uruguay (Police Reports) | Overall | −15.12*** | (4.713) | −0.0825*** | (0.0254) | −8 |
| Cohabitant | −0.504 | (3.581) | 0.0069 | (0.0341) | 1 | |
| Non-cohabitant | −13.37*** | (2.797) | −0.18*** | (0.0357) | −17 | |
Source: Authors’ calculations based on data from the following sources: Uruguay: Ministerio del Interior (police reports); Ecuador: Fiscalía General (police reports) and ECU911 (emergency line); Buenos Aires, Argentina: Línea 137 (domestic violence hotline)
Note: The table presents the results of the OLS estimation of Eq. (1). In each country, we separately estimate the model for the different types of reports, depending on the relationship between victim and perpetrator. We express the λβ 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