What's new in Stata 19

This webinar highlights new features in Stata 19 designed to improve data analysis efficiency. It covers High Dimensional Fixed Effects (HDFE) for faster handling of multiple categorical variables in linear models, the xtvar command for panel-data vector autoregressive (VAR) modeling, and the bayesselect command for Bayesian variable selection and inference in regression. Ideal for Stata users seeking to enhance their modeling capabilities with these advanced tools.

What You’ll Learn:
Participants will gain practical experience applying advanced techniques in Stata 19 to improve model efficiency, analyze panel data dynamics, and incorporate Bayesian methods for more robust regression analysis.

Who Should Attend:
This webinar is designed for Stata users seeking to expand their skills with advanced modeling techniques. It is ideal for researchers, data analysts, and professionals interested in improving their efficiency and accuracy in regression and panel data analysis.

• Using the absorb() option with areg, xtreg, fe, and ivregress 2sls
• Handling multiple high-dimensional categorical variables
• Achieving speed improvements over traditional indicator methods
• Overview of the new xtvar command
• Fitting panel-data VAR models
• Analyzing dynamic relationships across multiple units or panels over time
• Introduction to the bayesselect command
• Performing Bayesian variable selection for linear regression
• Accounting for model uncertainty and Bayesian inference for regression coefficients

Have a question about the webinar? We're here to help. Take a look below at some of the most common queries we get. If your question still isn't answered, scroll down to send us an email, or call our in house experts.