Original collectionUnder development

Under development — library extension. This report is part of the expanded-library work, not the original collection. Source preparation, methods and results are subject to revision.

Provisional eligibility assessment — under development. PDF audit reopened this assessment; no new comparison is admitted. School-by-cohort natural-experiment DiD uses a poor-classmate exposure indicator. Lab/field experiments measure outcomes, rather than randomly assigning the integration policy. Separate peer-adjacency IV is another analysis. Cohort timing and sample/inference mapping still need checking. This working assessment is not fully vetted and may change. See the report below for its recorded replication or assessment status. Provisional eligibility log

Familiarity Does Not Breed Contempt: Generosity, Discrimination, and Diversity in Delhi Schools

Gautam Rao (2019) · American Economic Review

import sys
from pathlib import Path

ROOT = next(
    p for p in [Path.cwd(), *Path.cwd().parents]
    if (p / "scripts/tranche50_report.py").exists()
)
sys.path.insert(0, str(ROOT / "scripts"))
from tranche50_report import report

report("aeraej-75", tranche="tranche100")

Gautam Rao (2019). American Economic Review. Table 2.

Collection index · Results JSON · QMD · Reproduction code

Template assessment

The selected source compares treated classrooms within grade and school, with student controls and complementary IV experiments. Grade is not an observed pre/post outcome clock for a panel adoption comparison.

No comparison point or homogeneity-test decision is assigned to this paper.