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This page contains only historical information and is not about the current release of Stata. Please see our Stata 14 page for information on the current version of Stata.

New in

Read all about the new features in Stata 13 below, or better still, let us show you.

Also visit Why use Stata to learn all the details of Stata's features.

Treatment effects

  • Inverse-probability weights (IPW)
  • Regression adjustment
  • Propensity-score matching
  • Covariate matching
  • Doubly robust methods
  • Continuous, binary,and count outcomes
  • Endogenous treatment models
  • More

Multilevel models

  • Negative binomial
  • Ordered logistic
  • Ordered probit
  • Multinomial logistic
  • GLM
  • Hierarchical and crossed models
  • More

Power and sample size

  • Means, proportions, variances, correlations
  • ANOVA, including repeated measures
  • Case–control and cohort studies
  • Interactive control panel
  • Tabular results
  • Automatic graphs
  • More

Generalized SEM

  • Generalized linear responses: binary, count, ordered outcomes
  • Multilevel models: nested (hierarchical) and crossed
  • Random slopes and intercepts
  • Fast
  • More


  • Time series and panels
  • One to thousands of equations
  • Identities
  • Add factors
  • Dynamic and static
  • CIs via stochastic simulation
  • Compare scenarios
  • More

Long strings

  • Two billion character strings
  • Text strings
  • Binary large objects (BLOBs)
  • Import/Export/ODBC/SQL
  • Work just like Stata strings
  • More

Panel data

  • Ordered outcomes
  • Random-effects ordered probit
  • Random-effects ordered logistic
  • Random-effects multinomial logit
  • Cluster–robust SEs
  • More

Project Manager

  • Organize files (1–10,000)
  • Multiple projects
  • Filter on filenames
  • Click to open
  • Click to run
  • More

Censored continuous outcomes

  • Selection models
  • Random effects and random coefficients
  • Endogenous covariates
  • Treatment effects (ATEs)
  • Endogenous switching models
  • More

Univariate time series

  • IRFs for ARIMA and ARFIMA
  • Parametric autocorrelations
  • Parametric spectral densities
  • Stability checks for ARIMA
  • More

Effect sizes

  • Comparison of means
  • Linear regression
  • Confidence intervals
  • Cohen’s d, Hedges’s g, Glass’s Δ, η2, ω2
  • More

More documentation

  • Three all-new manuals
  • 11,000+ total pages
  • Thousands of worked examples
  • Statistical overviews
  • Fast and easy navigation
  • See the video
  • More

More statistics

And more

Stata/MP. As with all of Stata, many of the new features in Stata 13 support multicore processors when using Stata/MP. Run faster, run Stata/MP.

PDF of the Stata 13 announcement.

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