4/ Our findings underscore the urgent need for further examination of the societal norms that perpetuate these disparities Understanding the structural factors at play is crucial for addressing the gender gap in unpaid labor Read the full article here 👉 jtur.iatur.org/home/article...
3/ Gender disparities in time allocation persist, regardless of income quintiles, poverty levels, age, or household structures This points to deeply rooted societal norms and structural factors that shape the dynamics of unpaid labor
2/ There is a significant disparity in the average time men & women spend on unpaid work, with women dedicating considerably more time to domestic responsibilities Women’s time spent in unpaid work doesn't show significant variations with changes in household income
In our recent study using Costa Rica’s time use data, we explore how household income and poverty intersect with gender differences in unpaid housework and caregiving The article is open-access 👉 jtur.iatur.org/home/article... Here’s what we found! ⬇️ (1/4)
Join us this Thursday (04/18) at 1pm for an engaging discussion with @lucy-sorensen.bsky.socialevents.brown.edu/event/284203...
Seminar Title - On the Margin: Who Receives a Juvenile Referral from School and What Effect Does It Have? We’re excited to host Dr. Lucy Sore...
Glad to see this out! ➡️ In the context of suspension restrictions, funding for RPs did not provide differential reductions in suspension rates. ➡️ Importantly, this does *not* mean RPs are ineffective! We have credible evidence that they are beneficial for other key outcomes. 1/4
How did restrictions on suspensions and a restorative justice pilot in New York City affect discipline rates and disparities? New Learning Curve essay by Jo Al Khafaji-King: www.urban.org/research/pub...
Whether it is a change to policy or the implementation of a new program, suspension reforms must balance the need to reduce suspensions’ concentrated negative impacts on students with the need to ensu...
This work is now available at: academic.oup.com/wber/advance... 6/6
It's crucial for governments to recognize these nuances. While policies may succeed on a smaller scale, their effects can vary when implemented nationwide. Understanding these differences is key to refining strategies and optimizing resource allocation. 5/6
These disparities underscore the challenges of scaling up interventions. Variations in program criteria, target populations, and service offerings between agencies can significantly influence outcomes. 4/6
However, a closer look reveals divergent outcomes between implementing agencies. While one agency's services yield positive impacts across the board, the other agency's results are less promising, especially for part-time childcare users. 3/6