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Video tutorials

Want to get started fast on a specific topic? We have recorded over 300 short video tutorials demonstrating how to use Stata and solve specific problems. The videos for simple linear regression, time series, descriptive statistics, importing Excel data, Bayesian analysis, t tests, instrumental variables, and tables are always popular. But don't stop there. We have curated a full list of the videos by topic below. Or just go straight to our YouTube channel.

Check back often. We add new videos all the time.




Tour of what's new in Stata 17 New

Tour of the Stata 17 interface
PDF documentation in Stata 17
Example datasets included with Stata 17

Customizable tables in Stata
Customizable tables: Cross-tabulations
Customizable tables: One-way tables of summary statistics
Customizable tables: Two-way tables of summary statistics
Customizable tables: How to create tables for a regression model
Customizable tables: How to create tables for multiple regression models

Bayesian econometrics
Bayesian vector autoregressive models
Bayesian dynamic forecasting
Bayesian impulse–response functions and forecast error-variance decompositions
Bayesian dynamic stochastic general equilibrium models
Bayesian panel-data models
Bayesian multilevel modeling

Cox proportional hazards model for interval-censored data

Multivariate meta-analysis
Leave-one-out meta-analysis
Galbraith plots

Difference in differences
Treatment-effects estimation using lasso
Using lasso with clustered data for prediction and inference
Using BIC in lasso

Fixed-effects and random-effects multinomial logit models
Zero-inflated ordered logit model
Nonparametric tests for trends

Do-file Editor enhancements
PyStata—Python and Stata
Jupyter Notebook with Stata

SEM Builder Updated

Fitting and interpreting regression models: Poisson regression with categorical predictors New
Fitting and interpreting regression models: Poisson regression with continuous predictors New
Fitting and interpreting regression models: Poisson regression with continuous and categorical predictors New
Fitting and interpreting regression models: Multinomial probit regression with categorical predictors New
Fitting and interpreting regression models: Multinomial probit regression with continuous predictors New
Fitting and interpreting regression models: Multinomial probit regression with continuous and categorical predictors New
Fitting and interpreting regression models: Multinomial logistic regression with categorical predictors New
Fitting and interpreting regression models: Multinomial logistic regression with continuous predictors New
Fitting and interpreting regression models: Multinomial logistic regression with continuous and categorical predictors New
Fitting and interpreting regression models: Probit regression with categorical predictors New
Fitting and interpreting regression models: Probit regression with continuous predictors New
Fitting and interpreting regression models: Probit regression with continuous and categorical predictors New
Fitting and interpreting regression models: Logistic regression with categorical predictors New
Fitting and interpreting regression models: Logistic regression with continuous predictors New
Fitting and interpreting regression models: Logistic regression with continuous and categorical predictors New
Fitting and interpreting regression models: Linear regression with categorical predictors New
Fitting and interpreting regression models: Linear regression with continuous predictors New
Fitting and interpreting regression models: Linear regression with continuous and categorical predictors New

Stata basics

Data management

Graphics

Automated document and report creation

Bayesian analysis

Binary, ordinal, count, and fractional outcomes

Case–control studies

Choice models

Classical hypothesis tests

Descriptive statistics, tables, and cross-tabulations

Dynamic stochastic general equilibrium models (DSGEs)

Econometrics

Effect sizes

Extended regression models (ERMs)

Factor variables

IRT (item response theory)

Lasso

Latent class analysis and finite mixture models

Linear models

Marginal means, predictive margins, and contrasts

Meta-analysis

Multilevel mixed-effects models

Multiple imputation

Nonparametric statistics

Panel data

Power, precision, and sample size

Programming

SEM (structural equation modeling)

Spatial autoregressive models

Statistical calculators

Survey data analysis

Survival analysis

Time series

Treatment effects

Stata

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