|Where:||Join us from anywhere!|
|Cost:||Free—but registrations are limited|
This webinar showcases some of the most commonly used tools for working with time-series data in Stata. We start by demonstrating how to import data, set their time-series structure, and explore using time-series plots and correlograms. We will work examples using ARIMA and ARCH models and use our estimates to produce forecasts. Other examples will call for vector autoregression (VAR), where we will model the relationship of multiple endogenous processes and study the implications of our model with impulse–response plots.
The webinar is free, but you must register to attend. Registrations are limited so register soon.
We will send you an email prior to the start with instructions on how to access the webinar.
Alvaro Fuentes is a Senior Econometrician at StataCorp. His PhD research at the Leibniz Institute for Science and Mathematics Education in Kiel, Germany, focused on propensity-score methods for causal inference with multilevel data. At Stata, he produces documentation and other written materials and develops and presents trainings.