https://openeconometrics.com/guides/ Practical guides to open-source econometrics in Python: workflows for Stata, EViews and SPSS users, method explainers and validating results. en Mon, 19 Oct 2026 00:00:00 +0000 https://openeconometrics.com/guides/validating-econometric-results https://openeconometrics.com/guides/validating-econometric-results Mon, 19 Oct 2026 00:00:00 +0000 Reproducibility Check estimator results against certified reference data, measure accuracy in correct digits, and know what a passing test does and does not prove. https://openeconometrics.com/guides/open-source-econometrics-python https://openeconometrics.com/guides/open-source-econometrics-python Mon, 19 Oct 2026 00:00:00 +0000 Workflows What an open-source Python workflow for econometrics looks like, which familiar tasks OpenEconometrics covers today and where its limits are. https://openeconometrics.com/guides/reproducible-econometrics-workflow https://openeconometrics.com/guides/reproducible-econometrics-workflow Mon, 19 Oct 2026 00:00:00 +0000 Reproducibility A practical workflow for econometric analyses that others can rerun, with pinned versions, recorded samples, seeds and tables generated from saved results. https://openeconometrics.com/guides/robust-clustered-standard-errors https://openeconometrics.com/guides/robust-clustered-standard-errors Mon, 19 Oct 2026 00:00:00 +0000 Methods How HC0–HC3, cluster-robust and HAC standard errors work, when each is appropriate, and why a handful of clusters calls for the wild cluster bootstrap.