validate-log

To check a Stata log file for errors, you can scan it using grep-based pattern matching for known error codes, invalid syntax, missing files, and undefined variables. This validates that the do-file executed completely without silent failures.

Yes, you can verify regression coefficients exist in the log by checking the last estimation output for implausible magnitudes or signs. This prevents relying on accidentally fabricated results from incomplete runs.

You detect merge issues in Stata logs by scanning for suspicious merge outcomes and known warning patterns. This catches silent data drops during merges that compromise econometric reproducibility.

Sample-size funnel reporting tracks observation counts before and after restrictions in Stata logs. It supports econometric best practices by ensuring the log documents exactly how the sample was narrowed.

No special dependencies are required to validate Stata logs for reproducibility. The process relies on deterministic grep-based checks over a provided log path to find errors, warnings, and missing econometric indicators.

A Stata log showing no observations after restrictions indicates a failed sample-size funnel step. Scanning the log for this pattern helps identify overly restrictive data filters that silently dropped all records.