Finally, we know little about long-term impacts, including how impacts may vary over time horizons and if impacts are non-linear, as well as the sustainability of impacts after CTs end or households graduate (the latter studied only by Roy et al. For example, it is likely that within any one program there are multiple or competing casual pathways operative, with differential distributional impacts or those that vary by type of IPV. It is also possible that impacts in the short-run may differ from longer-term impacts as relationships end and begin and programs are phased out. As cash and other transfers are increasingly scaled up in development settings, we welcome further research to better understand and leverage gains across sectors on non-traditional outcomes including IPV.