• Linear model with panel-level effects and i.i.d. errors
• Linear model with panel-level effects and AR(1) errors
• GLS and ML estimators
• Robust and cluster-robust standard errors

Tests

• Hausman specification test
• Breusch and Pagan Lagrange multiplier test for random effects

Linear dynamic panel-data estimators

• Arellano and Bond estimator
• Arellano and Bover/Blundell and Bond system
• Opening, closing, and embedded gaps
• Serially correlated disturbances
• Complete control over instrument list
• Predetermined variables
• Tests for autocorrelation and of overidentifying restrictions

Panel-corrected standard errors (PCSE) for linear cross-sectional models

Two-stage least-squares panel-data estimators

• Between-2SLS estimator
• Within-2SLS estimator
• Balestra–Varadharajan–Krishnakumar G2SLS estimator
• Baltagi EC2SLS estimator
• All with balanced or exogenously balanced panels

Stochastic frontier models

• Time-invariant model
• Time-varying decay model
• Battese–Coelli parameterization of time effects
• Estimates of technical efficiency and inefficiency

Regressors correlated with individual-level effects

• Hausman–Taylor instrumental variable estimators
• Amemiya–MaCurdy instrumental variable estimators

Multilevel mixed-effects models

• 6 distribution families
• 9 links
• 7 correlation structures
• Specific models include:
  • probit model with panel-correlation structure
  • Poisson model with panel-correlation structure

Summary statistics and tabulations

• Statistics within and between panels
• Pattern of panel participation

Random-effects regression for binary and count-dependent variables

• Interval regression
• Tobit
• Probit
• Logistic regression
• Complementary log-log regression
• Poisson regression (Gaussian random-effects)
• Poisson regression (gamma random-effects)
• Negative binomial regression
• Linear parameter constraints

Conditional fixed-effects regression for binary and count-dependent variables

• Logit regression
• Poisson regression
• Negative binomial regression

Population-averaged regression

• Complementary log-log regression
• Logit regression
• Negative binomial regression
• Poisson regression
• Probit regression
• Linear models regression

Swamy's random-coefficients regression

Panel-data line plots

• Graphs by panel
• Overlaid panels