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Secondary Data Analysis

The Two-Child Limit: impact on children’s education and justice outcomes

This project examines whether the policy to restrict financial support for families to their first two children has had an impact on child outcomes related to offending.

Research organisation

Manchester Metropolitan University

Research team

Dr Will Cook, Prof. Stephen Morris

Project start date

01/07/2025

Funding

£ 136,961

Primary dataset(s) used

National Pupil Database, MoJ-DfE linked dataset 

Status

Ongoing

Sectors

Education, Children’s Services

Why we funded this

The causal effect of household income and poverty on social outcomes is one of the most fundamental questions in social policy. There is a substantial amount of research linking poverty to adverse child outcomes, including involvement in violent crime. However little of this research estimates a causal relationship. 

Introduced in 2017 and repealed in 2026, the two-child benefit limit, prevented families from claiming the child element of Universal Credit for any third or subsequent child. As well as being a controversial and widely debated policy, it provides a rare opportunity to examine the causal effects of reductions in household income on child outcomes.  

What are the main research questions

The main research questions addressed through this study include:  

  • Did the Two Child Limit causally affected predictors of serious youth violence, including SEN diagnosis for Emotion, Social and Mental Health needs?   
  • Did the Two Child Limit causally affected total offending (convictions and cautions) by young people? 
  • Are there moderating factors that influence whether the Two Child Limit causally affected these outcomes? 

What the analysis involves 

The research will use individual-level data from the National Pupil Database to first isolate those households most likely to have been affected by the Two-Child Limit. It will then test for whether there was an impact of this policy using two quasi-experimental methods: regression discontinuity and difference in difference. Both these methods exploit the fact that the policy was implemented to affect families with a third or higher order child born on or after the 6th of April 2017, creating a sharp before and after comparison.