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ASSA 2024 Annual Meeting
San Antonio, TX | 5–7 January 2024

StataCorp will be an exhibitor at the ASSA 2024 Annual Meeting. Attending from StataCorp: Gustavo Sánchez, Director, Technical Services; Enrique Pinzón, Director, Econometrics; and Miguel Dorta, Senior Statistician. We're also hosting three demos at our booth, #201. For more information about the meeting, visit the ASSA 2024 Annual Meeting page.

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Stata demos

Title: Bayesian model averaging
Presenter: Gustavo Sánchez, Director, Technical Services
Date: Friday, 5 January 2024
Time: 10:00–10:15 a.m. CT
Location: Booth 201
Description: In this short demo, we will use the new suite of bma commands to illustrate the way you can perform Bayesian model averaging estimation in Stata. We will show how to obtain probabilities associated with relevant predictors, measurements about complementary or substitutable predictors across different model candidates, and predictions that incorporate uncertainty about the model and the parameters.
Title: Easily create your Table 1
Presenter: Miguel Dorta, Senior Statistician
Date: Friday, 5 January 2024
Time: 2:15–2:30 p.m. CT
Location: Booth 201
Description: In this quick demo, we will use the new dtable command to show how to easily create a table of descriptive statistics, commonly known as "Table 1". We will also show how to optionally add p-values from test statistics comparing groups on summary statistics, a title, notes, and more, and then export it to a variety of file types.
Title: Heterogeneous difference in differences
Presenter: Enrique Pinzón, Director, Econometrics
Date: Saturday, 6 January 2024
Time: 10:00–10:15 a.m. CT
Location: Booth 201
Description: We will briefly illustrate the commands available in Stata 17 and Stata 18 to estimate homogeneous and heterogeneous difference-in-differences models alongside some graphical and diagnostic tools.

Presenters

Gustavo Sanchez portrait

Gustavo Sánchez is a Senior Econometrician and Director of the Technical Services department at StataCorp LLC. He has a master's degree in econometrics from Southampton University, UK, and he got his PhD in agricultural economics at Texas A&M University. Gustavo worked at the Central Bank of Venezuela, and he was a professor of econometrics at the Universidad Central de Venezuela.

Miguel Dorta portrait

Miguel Dorta is a Senior Statistician at StataCorp LLC and has worked on technical support since 2011. He has a bachelor's degree in statistics from Universidad Central de Venezuela, a master's degree in economics from the University of Illinois at Urbana–Champaign, and a master's degree in agricultural economics from Texas A&M University. His research interest focuses on time-series analysis, forecasting, econometrics, and multiple imputation.

Enrique Pinzon portrait

Enrique Pinzón is the Director, Econometrics and part of the statistical development team at StataCorp LLC. He teaches a variety of Stata courses and is a frequent contributor to The Stata Blog. He holds a master's degree in economics from the Universidad de los Andes and a PhD from the University of Wisconsin–Madison.

PDF flyers

Browse the Stata flyers below.

Introduction to Stata



Stata overview
Letter   A4

Why Stata
Letter   A4

Stata 18 highlights
Letter   A4

Stata/MP
Letter   A4  

Features



Bayesian analysis
Letter   A4

Bayesian model averaging
Letter   A4

Causal inference/Treatment effects
Letter   A4

Causal mediation analysis
Letter   A4

Choice models
Letter   A4

Clinical trials
Letter   A4

Customizable tables
Letter   A4

Data frames
Letter   A4

Difference in differences
Letter   A4

Extended regression models (ERMs)
Letter   A4

Finite mixture models (FMMs)
Letter   A4

Group sequential designs
Letter   A4

Interval-censored Cox model
Letter   A4

Item response theory (IRT)
Letter   A4

Lasso: Prediction and inference
Letter   A4

Latent class analysis (LCA)
Letter   A4

Maximum likelihood estimation
Letter   A4

Meta-analysis
Letter   A4

Multilevel mixed-effects models
Letter   A4

Multiple imputation
Letter   A4

Nonparametric regression
Letter   A4

Panel data
Letter   A4

Power, precision, and sample-size analysis
Letter   A4

PyStata
Letter   A4

Reproducible and automated reporting
Letter   A4

Reproducibility and backward compatibility
Letter   A4

Spatial autoregressivel (SAR) models
Letter   A4

Structural equation modeling (SEM)
Letter   A4

Survey data
Letter   A4

Survival analysis
Letter   A4

Time series
Letter   A4

View all Stata features.

Resources



Programming with Stata
Letter   A4

Teaching with Stata
Letter   A4

Tech support
Letter   A4

Stata Press



Author Support Program
Letter   A4

Become a Stata Press® author
Letter   A4

Visit stata-press.com for more information.

Stata Journal



Publish in the Stata Journal
Letter   A4

The Stata Journal
Letter   A4

Visit stata-journals.com for more information.

Supplementary materials