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Panel data/longitudinal data

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 (Updated)

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

Panel-data unit-root tests New

  • 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

See New in Stata 11 for more about what was added in Stata Release 11.

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