Hi guys,
I am trying to find which coefficient beta 1 or 2 has a greater effect on child mortality. i have carried out the reparameterisation trick ( or lincom command in stata), but stata omitted the water variable due to collinearity. my null hypothesis is Ho : beta 1 = beta 2 and alternative is H1: beta 1 > beta 2. the following is my regression model:
INFMORTUND~5= β_0+β_(1 ) SANITATION+β_2 WATER+β_3 logGDPPC+U
INFMORTUND~5= 146.1188 - 0.506 SANITATION - 0.015 WATER- 8.453 logGDPPC
my question is : when stata omitted water due to is it because of perfect collinearity?
Thank you
Related Posts with Omitted variable due to Collinearity
mixed Command; Using Random Intercept as a Control variablHi. I am using mixed modeling for my multilevel data across countries, industries, and firms. I need…
Modifying Ben Jann's "appendmodels" program for different commands.Hello,
I am using Ben Jann's appendmodels program which can be found here. The program works perfec…
HeteroscedasticityDear Statalists,
I ran a fixed effects model and obtained nice significant results, but after aplyi…
Why does the number of observation differ after the PSM estimation?I used attnd command to estimate nearest-neighbor matching. Then, I got the result as follows.
*AT…
Unsignificant resultsMy name is Muhammad Rashid student of MS BA I have panel data for 10 years of 1600 companies when I …
Subscribe to:
Post Comments (Atom)
0 Response to Omitted variable due to Collinearity
Post a Comment