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. Table 2 estimates mortality responses to continuous electricity-saving targets interacted with temperature-bin counts and age groups. The reported effect is an age-share-weighted linear combination with population weights, three interacted fixed effects and two-way clustering. It is not a binary adoption ATT. This working assessment is not fully vetted and may change. See the report below for its recorded replication or assessment status. Provisional eligibility log

Energy Saving May Kill: Evidence from the Fukushima Nuclear Accident

Guojun He; Takanao Tanaka (2023) · 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-131", tranche="tranche150")

Guojun He; Takanao Tanaka (2023). American Economic Journal: Applied Economics. Table 2, Panel B.

Collection index · Results JSON · QMD · Reproduction code

Template assessment

Table 2 estimates mortality responses to continuous electricity-saving targets interacted with temperature-bin counts and age groups. The reported effect is an age-share-weighted linear combination with population weights, three interacted fixed effects and two-way clustering. It is not a binary adoption ATT.

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