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. Table 3 has author-labeled binary policy timing, but its notes retain fractional boundary-ZIP exposure and its target is a triple interaction. Do NOT equate the binary label with a verified 0/1 analysis column. Review county-level alternatives and a faithful DDD mapping; selected continuous-share failure remains valid. This working assessment is not fully vetted and may change. See the report below for its recorded replication or assessment status. Provisional eligibility log

New Evidence on Information Disclosure through Restaurant Hygiene Grading

Daniel E. Ho; Zoe C. Ashwood; Cassandra Handan-Nader (2019) · American Economic Journal: Economic Policy

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-74")

Daniel E. Ho; Zoe C. Ashwood; Cassandra Handan-Nader (2019). American Economic Journal: Economic Policy. Table 4.

Collection index · Results JSON · QMD · Reproduction code

Template assessment

The source policy regressors are continuous geographic treatment shares interacted with disease types (72 and 70 distinct values). The binary-adoption template does not preserve this design.

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

The source regression was re-estimated on 1,320 observations before this assessment.