
VAR Models in Stata - DO File + Slides + Dataset
The package includes:
1-DO File - Complete and detailed, step by step
2-Video Slides
3-Data Set
I hope you enjoy it!
JD Economics.
Estimating VAR Models in Stata: A Step-by-Step Guide
Vector autoregressive (VAR) models are a powerful tool for analyzing multivariate time series data. In this guide, I'll provide you with everything you need to estimate VAR models in simple steps. Get the complete DO file, data set and slides of my video!

Real Example
We estimate a VAR model to understand how unexpected changes in unemployment affect the Fed. Rate.

Impulse Responses
Examine the responses of the endogenous variables to unexpected shocks. It becomes evident that when there is a positive shock in unemployment, the Federal Reserve responds by decreasing the interest rate. We can interpret this as an expansionary reaction to a contractionary unemployment shock.
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Get the files to estimate ARIMA models, Cointegration and Error Correction Model (Engel and Granger method) and VAR Models.
You will get the slides, DO File, and datasets for all my available tutorials:
1-ARIMA Models
2-Produce forecasts with AR Models
3-Cointegration and Error Correction Model (Engel and Granger method)
4-VAR models
5-VAR models Forecast with confidence bands
Plus, the free content:
i. Generate Tme Series Variables
ii. Produce professional Graphs in Stata