Hi everyone. I am doing my thesis at the moment and I don't know how to interpret a key variable.
The linear probability model is:
Unemployed_it= B0 +B1log(household income)_it + u_it, where unemployed is a dummy variable =1 if someone is unemployed.
I got -0.0456 as my estimate for B1. How do I interpret this? I also used a probit model and then the margins, dydx(*) command to estimate the above equation. How would I interpret this estimate of B1?
Thanks !
Related Posts with Linear-Log probit and linear probability models
Failure to define a new scalar in a if clauseDear Statalist community I´ve encountered a wierd situation today: failing to define a new scalar. …
How to estimate elasticity in both sides Box-Cox transformed modelDear STATA users, I have a model that both dependent and independent variables are box-cox transfor…
Principal Component Analysis selecting country and questions under conditionsHello dear statalisters, I am working with the World Value Survey that have several questions for d…
Heckman AS IV?Dear all, I am interested in estimating Y = A + B1*X1 + B2*X2 + B3*X3 + EPS. I am not worried that …
Cox Hazard different starting points and year dummiesHey I am investigating the effects of different investor types (A, B and C) on the failure rate of…
Subscribe to:
Post Comments (Atom)
0 Response to Linear-Log probit and linear probability models
Post a Comment