After implementing an IV probit model, the signs of many exogenous covariates' coefficient estimates have been flipped, compared to the signs in the baseline probit model. These signs are now at odds with the past literature. I originally thought the IV approach would only significantly impact the coefficient estimates of the endogenous variables. What does this indicate? Is it because my instrument is not valid?
BTW, my model has two endogenous variables and two instruments.
Related Posts with IV approach flips the signs of exogenous covariates' coefficient estimates
Interaction of time-invariant variable in fixed effects modelHello everyone, I am currently running fixed effects model to see the relationship between program …
nbreg with fixed effects and clustered se? (no panel data)Hi I have a question regarding to use of fe and clustered se. The majority of the threads on statal…
Analyze a subset of a matched case control datasetI am using Stata 15.1 for Mac. My dataset after 1:4 case:control matching has 1168 cases (patients w…
OLS or ProbitDear community, I conduct a research of how individual level and collective level economic indicator…
Use stored correlation matrix from PWCORR in CORR2DATAHey Stata-listers, I will preface this by saying that I am not super familiar with matrices in Stat…
Subscribe to:
Post Comments (Atom)
0 Response to IV approach flips the signs of exogenous covariates' coefficient estimates
Post a Comment