Research

Job market paper

In the Shadow of Brothers: Unintended Impacts of a School Entry Policy on Migrant Girls

Gender-bias in parental investments can have implications for how education policies affect migrant girls. This study uses a regression discontinuity design to explore how Sweden’s school-entry policy interacts with family structure to shape second-generation migrant girls’ educational outcomes. First, I assess the direct impact of late school entry on migrant girls’ academic performance and how this varies depending on the gender of their younger sibling. Second, I explore sibling spillover effects on migrant girls when an oldest sibling, either a sister or brother, enters school late. The findings reveal two key insights: Late school entry benefits migrant girls with younger sisters, but not those with younger brothers. Additionally, spending more time at home with an oldest brother who enters school late has lasting negative spillover effects on younger sisters’ educational outcomes. These negative impacts are specific to migrant girls, with no similar effects for migrant boys or native children. I propose a simple theory to explain these results, highlighting gender bias in parental preferences as a key factor. Moreover, the effects are more pronounced in migrant families with traditional backgrounds and are also reflected in mothers’ labor supply decisions when sons, rather than daughters, enter school late.

Presented at the EALE annual Conference 2024, IZA Summer School 2024, The 14th International Workshop of Education Economics (IWAEE) 2024, CESifo Labor Conference 2024, UCSD phd seminar in spring 2024, CESifo/CES Workshop on the Economics of Children 2023, 1st Workshop on Education Economics and Policy (WEEP) 2023, The 61st Annual ESPE Meeting 2023. Description in Swedish here.

Work in progress

Joint with Stella Canessa, Gordon B. Dahl, Costas Meghir, Susan Niknami, Mårten Palme, Helmut Rainer, Olof Rosenqvist, Peng Peng Xiao

Funded by the German Research Foundation (DFG). Find more information here.

This project included a large data collection and digitilization of records from the Swedish court system. The script to generate a data structure from text documents is publically available here.