r-econometrics

Generate publication-ready econometric tables in R using modelsummary or etable workflows, which format fixest feols regression outputs with clustered standard errors into exportable event-study and causal inference reports.

The best way to run an IV analysis in R is to estimate the model using fixest and explicitly evaluate first-stage instrument strength with weak instrument diagnostics before exporting the publication-ready regression tables.

To set up a Regression Discontinuity Design in R, configure the RDD bandwidth and density considerations based on the identification strategy, then estimate the local effects and format the results into an exportable table.

Yes, you can use fixest for panel data causal inference because the feols estimation supports flexible fixed effects and allows you to specify clustered or robust standard errors for credible causal inference tasks.

Export fixest regression results into publication-ready tables in R by using modelsummary or etable workflows, which structure the robust inference outputs from your IV, DiD, or RDD models for direct academic export.