I am writing my thesis on the impact of banking crises in education using Local Projections using fixed effects.
I am coding in R many functions to then choose the best one. However I do not know how to interpret and compare the results.
The function ("lp_lin_panel" from the package "lpirfs") returns
1. A matrix, containing the impulse responses. The columns are the horizons - ("irf_lin_mean")
2. A matrix, containing all lower confidence bands. The columns are the horizons. ("irf_lin_low")
3. A matrix, containing all upper confidence bands. The columns are the horizons. ("irf_lin_up")
4. Regression output for each horizon. ("reg_summaries")
For example, between these two images, which regression should and choose and why ?
Only the values with asterisks are significant, which means that there are differences in these regressions.
- Badges
- Science topic
- Similar topics
- Analytical Chemistry
- Column