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model = "panel" in
paper_engine()): fixed effects and random effects
estimators with automatic Hausman-test-based selection
(method = "auto", "fe", or "re"),
plus balanced/unbalanced panel diagnostics.model = "iv"):
two-stage least squares (2SLS) in pure base R, with first-stage
weak-instrument diagnostics.model = "did"): treatment x post-period interaction model
with parallel-trends diagnostics.plot_engine() gains matching plot types for the three
new models: a forest plot for panel estimates, a forest plot for 2SLS
coefficients, and a parallel-trends plot for DiD.academic_salaries example dataset, used in
the new panel/IV/DiD vignette sections.vignette_tutorial.Rmd with worked examples for
panel data, IV, and DiD models.paper_engine() and plot_engine()
documentation for the new parameters (entity_id,
time_id, method, instruments,
treatment_var, time_var,
treatment_level, post_level).These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.