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Propensity-score inverse-probability-weighting design with publicly reported school-quality tiers

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Evidence · 5 claims (5 for) · 1 study (1 associational), q2 · 1 of 1 report an effect size · 5 claims rest on one study

Description

The study classifies all Chicago high schools into selective, top-tier, mid-tier, and bottom-tier groups using publicly available average ACT scores and 4-year graduation rates, combined "via principal components analysis into terciles" for nonselective schools. It then estimates treatment effects with propensity scores and inverse probability weights, comparing each higher tier against lower-performing tiers with cohort fixed effects and school-cohort clustered standard errors. The design covers all schools in a large district, not only those with lotteries or explicit admission criteria, and includes extensive pretreatment covariates such as middle-grades grades, test scores, attendance, suspensions, survey measures, and neighborhood characteristics.

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Page metadata
Field Value
type element
id propensity-score-ipw-school-tier-design
title Propensity-score inverse-probability-weighting design with publicly reported school-quality tiers
description The study classifies all Chicago high schools into selective, top-tier, mid-tier, and bottom-tier groups using publicly available average ACT scores and 4-year graduation rates, combined "via principal components anal...
status review
generated by process:wiki-ingest on 2026-10-08
trust unverified — no one has confirmed this page's content
sources 1 — allensworth-2017

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