4.2 Article

Improving Take-Up by Reaching Out to Potential Beneficiaries. Insights from a Large-Scale Field Experiment in Belgium

Journal

JOURNAL OF SOCIAL POLICY
Volume 52, Issue 4, Pages 740-760

Publisher

CAMBRIDGE UNIV PRESS
DOI: 10.1017/S004727942100088X

Keywords

Take-up; Non-take-up; Subsidised Health Insurance; Digitalisation of the welfare state; Field Experiment; Income-tested benefits

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This study utilizes new data flows to successfully reach out and assist potential low-income households beneficiaries, resulting in a significant increase in the uptake of welfare. Findings suggest that the intervention primarily affects those who expect to benefit from the welfare the most. Additionally, early responders and late responders differ in individual characteristics and historic health expenditures.
Non-take-up of means-tested benefits is a widespread phenomenon which undermines the effectiveness and fairness of social policies. The digitalisation of the welfare state creates new opportunities for proactively contacting people who are potentially entitled to benefits, but do not take up their social rights. In this study, we report on how new data flows were used to reach out to potential beneficiaries of the Increased Reimbursement of health care, a programme targeted at low-income households in Belgium. By randomizing the period in which potential beneficiaries were contacted, we were able to identify a three- to four-fold increase in take-up among those contacted as a result of the outreaching activities. Households that did not respond to the intervention, the never takers, have lower pre-intervention healthcare expenditures. This suggests that non-take-up was reduced primarily among those who would expect to benefit most from receiving the Increased Reimbursement. Exploiting the combination of rich administrative data with experimental evidence, we also find that early responders are mostly older and have higher historic health expenditures than late responders. Furthermore, results point to the need for balancing well the inclusiveness of the intervention with an increased number of applications by ineligible people.

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