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. Deep DiD follow-up: The authors define top-10 and top-5 Soviet-field indicators and interact them with afterdummy. Explicit year/field dummies are present. xtreg lacks the fe option and defaults to random effects despite explicit dummies; do not silently relabel its estimator. Poisson is a separate specification. Check omitted columns and authors coefficient before mapping. This working assessment is not fully vetted and may change. See the report below for its recorded replication or assessment status. Provisional eligibility log

Understanding the Changing Structure of Scientific Inquiry

Ajay Agrawal; Avi Goldfarb; Florenta Teodoridis (2015) · 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-28")

Ajay Agrawal; Avi Goldfarb; Florenta Teodoridis (2015). American Economic Journal: Applied Economics. Table A2.

Collection index · Results JSON · QMD · Reproduction code

Template assessment

The captured source treatment has 34 distinct values: Soviet exposure intensity interacted with post, not a binary policy. No binary threshold is imposed.

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

The source regression was re-estimated on 689,799 observations before this assessment.