Hi everyone,
I am trying to estimate a double hurdle model: Probit and lognormal (Craggs model), I would like to address the issue of endogeneity with one of my independent variables. I have seen some studies use an IV and others use a control function approach. The issue is my variable of interest appears only in the lognormal portion of the double hurdle. Would conventional IV approaches suffice by regressing my independent variable of interest in a first-stage regression with the IV and other controls and using the predicted values in my double hurdle model?
Related Posts with Endogeneity in double hurdle models
xtprobit with time invariant dependent variableHey, I have a sample of start-ups and want to check if the probability of an Exit (IPO or M&A) …
extracting data from numbersDear Statalists, I have an excel file with dates like 29.02.1980, 30.03.1980 and etc... I have appen…
Dropping duplicates randomlyHi I'd like to drop duplicates randomly instead of just the first duplicate observation. A snapsho…
Using frequency weights on graph bar to produce weighted averages.Hello. I am working with a dataset that has the number of births and number of preterm births in dif…
Significance of the main effects when main effects aren't significant but interaction isDear Statalisters, Hi, I have a problem about interpreting significance of the main effects and int…
Subscribe to:
Post Comments (Atom)
0 Response to Endogeneity in double hurdle models
Post a Comment