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Welfare States Protect Everyone From Income Loss, But Are We Measuring It Right?
Insights from the Field
insurance effects
panel data harmonization
democracies
income losses
Public Policy
BJPS
29 Stata files
26 text files
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68 datasets
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Dataverse
Reducing Risk As Well As Inequality: Assessing the Welfare State's Insurance Effects was authored by Jacob S. Hacker and Philipp Rehm. It was published by Cambridge in BJPS in 2022.

Existing welfare state indicators focus on inequality, not risk.

New Measures Needed:

This study introduces two novel metrics: risk incidence (how widespread large income losses are) and risk reduction (the extent to which welfare systems mitigate these). Unlike traditional approaches, they require panel data covering twenty-one democracies.

Universal Protection?

The findings reveal that significant income losses impact citizens across all education levels. This shows the broad value of welfare states in protecting against financial hardship.

Tax & Transfer Impact:

Taxes and transfers substantially lower these large losses, though effectiveness differs by country and over time.

Beyond Inequality:

By identifying specific 'triggers' like unemployment or illness that cause income shocks, the research demonstrates how welfare policies target risks traditionally emphasized in social policy discussions.

Practical Significance:

These measures offer a more comprehensive way to assess welfare state performance by capturing its protective functions alongside redistributive goals.

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British Journal of Political Science
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