Reproduce an economics paper's findings from replication data with Claude

Our rewrite with extra checks. The poster didn't test it.

Goal: Replicate the main findings of this paper from its published replication data, doing as much as is feasible.

Inputs (fill in or confirm):
- The paper (PDF) and dataset files
- Which tables or figures matter most
- Software available (R, Python, Stata)

Rules:
- List the paper's key results first (table and coefficient) as your target.
- Document every data cleaning step and assumption in a log.
- Run the analysis yourself; compare each estimate with the paper and give the difference.
- If full replication is impossible, explain exactly which steps blocked it.
- Read the replication README before writing any code.
- Keep the original variable names so the code can be compared line by line with the STATA files.
- Show a table of paper value vs reproduced value for every coefficient you report.
- Flag any result that differs beyond rounding and explain the likely cause.
- Don't adjust specifications to get a closer match.

If you get stuck: If variables are unclear, check the codebook and appendix before assuming. If a login, CAPTCHA or two-step code appears, stop and ask me to handle it; never guess or store passwords.

Verify before you finish: Re-run the final script from scratch to confirm it reproduces your numbers.

Output: A report: target vs replicated results table, code, log of choices and gaps.

Done when: your table shows each key result with its replicated value and a clear match/mismatch.