Stata Panel Data Jun 2026

xtreg y x1 x2 x3, fe estimates store fe_est xtreg y x1 x2 x3, re estimates store re_est hausman fe_est re_est

ssc install xtabond2 xtabond2 GDP l.GDP inflation trade_openness, gmm(l.GDP) iv(inflation trade_openness) nolevel small Use code with caution. Non-Linear Panels (Logit and Probit)

Some entities have missing time observations. 2. Data Preparation and Setup stata panel data

where model_options specify the estimator. The most common choices are:

Standard errors in panel regressions can easily be distorted by violations of classical assumptions. Heteroskedasticity xtreg y x1 x2 x3, fe estimates store

Or the more flexible xtdpdgmm :

reshape wide stubname, i(panelvar) j(timevar) Data Preparation and Setup where model_options specify the

Often, data arrives in : | id | wage2015 | wage2016 | exp2015 | exp2016 | |----|----------|----------|---------|---------|

If your diagnostics reveal heteroskedasticity or serial correlation, standard OLS and standard xtreg errors are invalid. You must apply cluster-robust standard errors. This adjusts the variance-covariance matrix to allow for correlation within entities while keeping entities independent.

It assumes there is no unobserved individual heterogeneity correlated with your explanatory variables. If this assumption fails, the estimates suffer from omitted variable bias. Fixed Effects (FE) Model