r (2000) code Stata. HELP!!!!!!!!!!!!!!! please

#1
We are currently running a probit model based on the determination of the probability of blue collar workers applying for unemployment benefits using Mccalls 1995 data set as a restricted model using the following variables:

bluecol: dummy, 1 if blue collar worker
stateur: state unemployment rate (in %)
statemb: state maximum benefit level
state: state of residence code
age: age in years
age2: age squared
tenure: years of tenure in job lost
slack: dummy, 1 if job lost due to slack work
abol: dummy, 1 if job lost because position abolished
seasonal: dummy, 1 if job lost becasue seasonal job ended
nwhite: dummy, 1 if nonwhite
school12: dummy, 1 if more than 12 years of school
male: dummy, 1 if male
smsa: dummy, 1 if live is smsa
married: dummy, 1 if married
dkids: dummy, 1 if kids
dykids: dummy, 1 if young kids (0-5 yrs)
yrdispl: year of job displacement (1982=1,..., 1991=10)
rr: replacement rate
rr2: rr squared
head: dummy, 1 if head of household
y: dummy, 1 if applied for (and received) UI benefits


Our issue is because the model is restrictive, our binary dependant variable; blue collar worker is restricted to the value = 1 meaning yes, they are a blue collar worker

Stata reads this as an omitted variable when estimated using probit and provides us with the code r (2000) which states "outcome does not vary; remember:
0 = negative outcome,
all other nonmissing values = positive outcome"


does anyone have any techniques to combat this issue? any help would be great and very much appreciated.
 

bukharin

RoboStataRaptor
#2
I mustn't understand this correctly. If your dataset contains both blue collar workers and non blue collar workers, you shouldn't be getting this error. If it only contains blue collar workers then how can you expect to predict that someone will be a blue collar worker when you don't have any controls?