Intimate partner violence during lockdown in Tuscany, Italy: Economic or confinement-related shocks?
cross_sectional · Level IV
Where this comes from
- Record sourced from PubMed, PMID 42340951.
- Also identified by DOI 10.1371/journal.pone.0349889 and PMC identifier 13293386.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
We revisit the issue of Intimate Partner Violence (IPV) during the COVID-19 pandemic asking three questions: whether IPV worsened with lockdown, what pandemic-specific 'shocks' had the greatest impact, and how the results change when different measures of IPV are used. The large telephone survey we leveraged for this purpose was conducted in 2021 in the Italian region of Tuscany as part of a mixed-method research project on IPV during the first lockdowns, and it is, to our knowledge, the only (locally) representative survey on IPV during lockdowns conducted in Italy. Subjective evidence from the survey shows that, on balance, IPV worsened in frequency or severity or both. Econometric evidence suggests that parental overburden due to the presence of minors had the largest influence, followed by job loss, whereas we were not able to discern a significant influence for confinement in crowded space lacking privacy. Finally, and unsurprisingly, we found that using a fuzzy measure of violence outcomes that accounts for severity and intensity as well as prevalence of violence allows us to discern between shocks like job loss that primarily influenced the occurrence of violence without significantly influencing its harshness. Our empirical strategy principally relies on the exogeneity of pandemic-specific shocks to attribute causal interpretation to our estimates. However, our dependent variables (IPV outcomes) are binary or fractional, and endogeneity of some control covariates cannot be ruled out. To address these issues, we estimate average marginal effects using a two-step Control function (CF) approach combined with a quasi-likelihood method.
Medical subject headings
- COVID-19
- Intimate Partner Violence
- Quarantine