Hi there! New to Statalist, but I was hoping one of you could help me with a spot of confusion.
I am attempting to apply a probit specification to some cross-sectional data which should display clustering (within villages).
I was using the vce(cl variable) and the score bootstrap in boottest to attain robust standard errors, but I just read that the coefficients of the probit themselves may be biased and inconsistent?
Would clustering produce heteroskedasticity which would bias the probit coefficients?
I would rather not move to an LPM due to the bias issues there, but is there an alternative?
Thank you so much,
Henry
I am attempting to apply a probit specification to some cross-sectional data which should display clustering (within villages).
I was using the vce(cl variable) and the score bootstrap in boottest to attain robust standard errors, but I just read that the coefficients of the probit themselves may be biased and inconsistent?
Would clustering produce heteroskedasticity which would bias the probit coefficients?
I would rather not move to an LPM due to the bias issues there, but is there an alternative?
Thank you so much,
Henry
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