Dear all,
I do a research using instrumental variables, the main problem is that we are not sure which result should be chosen . We found the instruments are weak, so we decided to use CLR test, K test and AR test to get the weak-identification-robust inferences. The null hypothesis of these tests is that if estimate of beita is equal to zero. Our estimate of ß is around 0.06.
BUT we found that If we add some control variables, we will accept the null hypothesis, however, if we drop these two control variables, we will reject the null hypothesis.
We found that the two control variables are not related with the explanatory variables, so if we can say that it is because these control variables dilute the strength of estimate of ß which is very small ? Or there are other explanations we can use for this case.
Thank you.
Result of not adding two unrelated control variables
Array
Result of adding two unrelated control variables
Array
Related Posts with Question about the effect of adding control variables on estimate
ARDL regression Hello everybody, I regressed gdp growth rate on inflation, share of remittance and share of trade …
word command in stataWhat does word command do? Can anyone explain it with example? …
Coefficient InterpretationHi, I am a bit confused with coefficient interpretation. Y = b0 + b1X + e I know that if Y is 0-1…
how to calculate the formula Euclidean distance as the picture,many thanks!How to calculate the formula Euclidean distance as the picture,many thanks! clear input double(year …
Preacher Hayes Process Model 4 for Panel data codeHello, I am trying to check the mediation effect of firm innovation on the relationship between Chie…
Subscribe to:
Post Comments (Atom)
0 Response to Question about the effect of adding control variables on estimate
Post a Comment