From the weekly letter · 2 November 2026

Why cover this story this week?

Paid maternity leave and the limits of a policy cutoff

Expansions of UK maternity pay improved children’s test scores while reducing maternal employment, according to a new preprint. Extending job protection without expanding pay produced similar employment effects but no detectable benefit for children. That contrast suggests that protecting a job and financing time away from it need not have the same consequences for families.

The methodological obstacle is that the available data do not precisely identify eligibility. This defeats a conventional regression discontinuity design, which compares people on either side of a policy threshold. The authors propose an imputation-based remedy that retains the approach’s nonparametric identification and transparency, even when measurement error reflects economic behavior. The wider lesson is that an apparently sharp policy rule is not enough: researchers must also be able to measure who falls on which side.

Editorial context written by AI from abstracts, not independent scientific validation. The kit and its verified quotes rely on the source paper, not on this letter.

Read the full letter →

Talk about a paper in public without overstating it: yours, one you are asked to comment on, or one you write about as a journalist.

  • Your paper: a draft release for your press office, the questions journalists will ask with what the paper lets you answer, the likely misreadings, a lay summary and a short thread.
  • Asked to comment: what the paper shows and does not, its strengths and weaknesses with their passages, and what would settle its main claim.
  • Writing about it as a journalist: reporting angles, the wording to check before publication, and the questions to ask the authors.
  • For everyone: findings with their passages checked word for word, the novelty set against the closest earlier papers, a hype check, figures with their credit, and researchers for an outside view who have not signed with the authors.

Discover Premium+ See an example kit