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Dear Stata users
Assume that you have have as dependent variable
H, the natural log of the mortality rate. Cook and Tauchen (1984)
demonstrate that this model has heteroskedasticity which takes the form
ln (1+(1-p)/pN) where p is the probability of death and N the cell size.
Thus, weigthing by (the square root of) population size is not correct.
However, with small p, the variance of the error term is approximately
proportional to the cell size, and the procedure is close to being
right. In this case 1-p approx = 1 and for large N, ln (1+(1-p)/pN)
This means that we should use analytical weights like
regress H x1 x2 [w=pop] is that correct?
I would appreciate your suggestion
Sorry for any inconvenience
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