The spatial Stata manual (https://www.stata.com/manuals/sp.pdf) makes clear that heteroskedasticity is a problem in spatial analyses. It causes estimates to be inconsistent. Yet, I can't figure out a way to test for heteroskedasticity after specifying a model with spxtregress. Predict, resid and predict, xb don't work. Nor do rvfplot (to plot residuals vs. fitted values) and estat hettest (for the Breusch-Pagan Test).
Any idea how I can check for heteroskedasticity? Please let me know.
Related Posts with Test for heteroskedasticity after spxtregress
Keep perfect predictor for marginsplotDear all, I am using mixed and melogit to compute growth curve models. I created a selective sample …
Creating a matrix containing the minimum element-by-element value from other matricesHello. I am trying to create a new matrix in which each element is definied as the minimal value of …
How to best combine/compare a multitude of conditional marginal effect plotsI'm doing a marginal analysis on my fixed effects model and looking for best practice to compare con…
Extracting the number of countries in the estimation as a scalar I wish to extract the number of countries in an estimation as a scalar. I export the results to L…
catplot: combined graph, 12 categorial variables over 1 categorial variableDear Statalist, I could use some help with a graph I am trying to produce. This is my data: Code: …
Subscribe to:
Post Comments (Atom)
0 Response to Test for heteroskedasticity after spxtregress
Post a Comment