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Fixed- and random-effects models
- 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

Specification tests
Linear dynamic panel-data estimators
- Arellano–Bond estimator
- Arellano–Bover/Blundell–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-variables estimators
- Amemiya–MaCurdy instrumental-variables estimators
Multilevel mixed-effects models
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Panel-data unit-root tests

- Im–Pesaran–Shin
- Levin–Lin–Chu
- Hadri
- Breitung
- Fisher-type (combining p-values)
- Harris–Tzavalis
GEE estimation of general linear models (GLMs)
- 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
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