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. The source measures turnout responses to the number of early-voting days (and changes in days in the border design). Treatment intensity is multivalued, not binary adoption; the headline also requires county-and-border clustering. This working assessment is not fully vetted and may change. See the report below for its recorded replication or assessment status. Provisional eligibility log

Early Voting Laws, Voter Turnout, and Partisan Vote Composition: Evidence from Ohio

Ethan Kaplan; Haishan Yuan (2020) · American Economic Journal: Applied Economics

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-98", tranche="tranche150")

Ethan Kaplan; Haishan Yuan (2020). American Economic Journal: Applied Economics. Table 2.

Collection index · Results JSON · QMD · Reproduction code

Template assessment

The source measures turnout responses to the number of early-voting days (and changes in days in the border design). Treatment intensity is multivalued, not binary adoption; the headline also requires county-and-border clustering.

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