What the study found
Correcting for publication bias reduces the average estimated elasticity of unemployment duration by about one-third. The authors also report that their corrected estimates imply an optimal unemployment insurance replacement rate of 28 percent in the United States.
Why the authors say this matters
The authors say meta-analysis can be used to combine estimates across policy settings and to generalize sufficient-statistics methods for computing the global optimal policy. They also conclude that their results challenge existing consumption drop-based approaches, which typically imply an optimal replacement rate near zero.
What the researchers tested
The researchers systematically reviewed studies of how unemployment benefits affect unemployment duration. They used meta-analysis to aggregate estimates across policy contexts and examined publication bias, meaning the tendency for statistically significant findings to be more likely to appear in print.
What worked and what didn't
Statistically significant findings were eight times more likely to be published. After correcting for this publication bias, the average elasticity was cut by a third. The authors also report that they were unable to reject the hypothesis that the “micro” elasticity equals the “macro” elasticity.
What to keep in mind
The abstract does not describe additional limitations beyond the publication-bias correction and the scope of the reviewed studies. The results are presented as corrected estimates from a meta-analysis, and the paper does not provide more detail here about the specific studies included or the uncertainty around the 28 percent estimate.
Key points
- Publication bias was substantial: statistically significant findings were eight times more likely to be published.
- Correcting for publication bias lowered the average estimated elasticity by about one-third.
- The corrected estimates imply an optimal unemployment insurance replacement rate of 28 percent in the United States.
- The authors say meta-analysis can combine estimates across policy contexts and generalize sufficient-statistics methods.
- They could not reject the hypothesis that the “micro” and “macro” elasticities are equal.
Disclosure
- Research title:
- Correcting publication bias lowers estimated unemployment-benefit effects
- Publication date:
- 2026-02-25
- OpenAlex record:
- View
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