Child Penalties and Public Childcare Shortages under Fiscal Austerity (with Emanuele Fedeli, working paper available here)
There is ample debate on whether and for whom policies might affect the child penalty in women’s earnings. Here we link it to local fiscal rules affecting public childcare provisions. We rely on Italian administrative data on private employees complemented by municipal budgets, and combine a regression discontinuity design with event studies.
We find that municipalities subjected to fiscal austerity face relative shortages driven by fewer daycare slots and (accepted) applications. The effects of these shortages are mostly null, except for women with higher earnings in Italy’s otherwise ‘daycare-rich’ Centre. There, child penalties increase by up to a quarter, as shortages are compensated via shorter weeks and part-time employment. When public childcare is lacking, some women use more parental leave, but without incurring in further earnings losses. Attending to income and geographical disparities might be crucial to understand and remedy gendered economic inequalities spurred by shortages and otherwise limited daycare.
Earning More but Less Secure: Unpaid Carers, Paid Work, and a Cliff Edge in the Design of a Cash Allowance (preprint available here)
Unpaid carers often experience economic insecurity despite having paid work. Dubbed a ‘new’ social risk, related social policies and research have focused on promoting employment and bolstering the public safety net when insufficient or absent. Yet the design of existing benefit programs might also have ‘new’ perverse effects. Here I ask how large, for how long, among whom, and why, by analysing the UK’s Carer’s Allowance and its earnings limit.
I rely on survey interviews from fifteen waves of Understanding Society (2009-2024). Economic insecurity is examined by combining material indicators (arrears, income losses, savings) as well as perceptions (financial worry, satisfaction with incomes). I compare carers with a history of Carer’s Allowance receipt to those without as their earnings progress in an event-study design.
Insecurity declines as earnings increase, but not homogeneously among carers. Past the earnings limit, carers with a history of Carer’s Allowance receipt report relatively more arrears with bills and housing, less regular savings, heightened financial worries, and more dissatisfaction with income. The relative gap in insecurity is large, persistent over time, and extends to the whole household. Although findings are generally mixed across socio-economic groups, renters drive estimates for arrears and middle- and working-class carers experience the most worries and dissatisfaction. Changes in insecurity appear unrelated to variation in caregiving involvement. Rather, differences in incomes, employment, and benefit receipt widen past the limit.
By foregrounding the role of policy design, findings speak to studies on social risks and economic insecurity, broadening the case for reforms aimed at carers mixing paid and unpaid work.
Linking Household Incomes to Youth Well-Being: An Analysis of Youth-Reported Deprivation and Caregiving with Growing Up in Australia (with Yekaterina Chzhen and Gerry Redmond)
Suspect Families: How Standards Stratify Linked Lives (with Nicolás Soler and Wim van Lancker)
Access to Social Security Benefits amidst Reforms and Scandals (with Nicolás Soler)
Poor Rich Parents: Labour Market Effects of De-Subsidising Childcare for Households with High Incomes (with Olivier Marie)
Wealth Inequalities and the Emotional Labour of Parenting
Growing Up after a Recession: Job and Housing Woes and Child Well-Being in the Long Run
The Sources of Research Variation in Economics (many-analysts project led by Nick Huntington-Klein and Claus C. Portner; NBER Working Paper available here, forthcoming in Journal of Economic Perspectives)
We use a rigorous three-stage many-analysts design to assess how different researcher decisions — specifically data cleaning, research design, and the interpretation of a policy question — affect the variation in estimated treatment effects. A total of 146 research teams each completed the same causal inference task three times each: first with few constraints, then using a shared research design, and finally with pre-cleaned data in addition to a specified design. We find that even when analyzing the same data, teams reach different conclusions. In the first stage, the interquartile range (IQR) of the reported policy effect was 3.1 percentage points, with substantial outliers. Surprisingly, the second stage, which restricted research design choices, exhibited slightly higher IQR (4.0 percentage points), largely attributable to imperfect adherence to the prescribed protocol. By contrast, the final stage, featuring standardized data cleaning, narrowed variation in estimated effects, achieving an IQR of 2.4 percentage points. Reported sample sizes also displayed significant convergence under more restrictive conditions, with the IQR dropping from 295,187 in the first stage to 29,144 in the second, and effectively zero by the third. Our findings underscore the critical importance of data cleaning in shaping applied microeconomic results and highlight avenues for future replication efforts