Hi All,
I am carrying out research for my bachelor thesis looking at the effect of gin consumption on health outcomes, using a regional-level panel data set. I am using two measures of health for robustness: ARD (alcohol related deaths) and BADSAH (bad self-assessed health).
Carrying out the Breush-Pagan test for Heteroscedasticity -
1) For ARD - p-value of 0.000 (reject null - presence of heteroscedasticity)
2) For BADSAH - p-value of 0.2510 (failure to reject null, homoscedasticity)
Currently I am using , fe cluster(region) within both models.
Does this result mean for my second measure of health (badsah) - I do not need robust standard errors within my regression? I am slightly confused about the implication of this p-value.
Many thanks,
Carys Wright
Related Posts with Heteroscedasticity vs Homoscedasticity with different measures of dependent variable
keeping only unique values using egen concatHello, I am trying to generate an indicator called mo_all using egen and concat that records all th…
Psmatch2 and next steps for survival analysisHello, I have run psmatch2 on my observational dataset and would appreciate some guidance on how to…
Multivariate Local Linear Polynomial Regression (lpoly)Hello, I want to perform a multivariate linear polynomial regression on STATA. I am working with el…
RECODE helpI have a variable that states the name of the assurance provider called NewNumVerifiers. Originally,…
How does rforest handle missing values?Hi, I am trying to understand how the rforest command in Stata handles missing values in the indepe…
Subscribe to:
Post Comments (Atom)
0 Response to Heteroscedasticity vs Homoscedasticity with different measures of dependent variable
Post a Comment