This webinar introduces EViews users to the powerful new features available in EViews 13 for performing Difference-in-Differences estimation.
This comprehensive webinar is hosted online through Zoom and runs for a total of 1 hour. We aim to introduce the EViews community to the exciting and powerful new features available in EViews 13 for Diff-in-Diff.
"The difference-in-differences method is a quasi-experimental approach that compares the changes in outcomes over time between a population enrolled in a program (the treatment group) and a population that is not (the comparison group)."
Our Difference-in-Differences EViews 13 webinar will introduce participants to the new suite of non-linear ARDL models, including estimation, testing and interpretation. EViews 13 offers improvements to existing tools for analyzing data using Autoregressive Distributed Lag Models (ARDL).
EViews 13 also hosts improvements to the estimation of Nonlinear ARDL (NARDL) models, which allow for more complex dynamics with explanatory variables having differing effects for positive and negative deviations from base values.
The webinar will also illustrate the new Diff-in-Diff estimator implemented in EViews 13. Difference-in-difference (DiD) estimation is a popular method of causal inference that estimates the average impact of a treatment on individuals.
EViews 13 offers tools for estimation of the DiD model using the common two-way fixed-effects (TWFE) method, as well as post-estimation diagnostics of the TWFE model, such as those by Goodman-Bacon (2021), Callaway and Sant’Anna (2021), and Borusyak, Jaravel, and Spiess (2021).
All features of the models will be explained practically using time series financial data and policy data for Diff-in-Diff.
Basic knowledge of linear regression is required. An introductory level of EViews is desirable but not essential.
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All of our courses scheduled for this year will be running online, via Zoom webinars.
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