The problem I have is that stata does not consider missing values when computing the variance. >> > >> > If i write the code: >> > >> > by isin: egen variance20001230=var(price) if datum>=20000101 & datum< 2000123 >> > 0 >> > >> > this gives me the 1-year variance for ...
if status is blank, and the prior observation for status is M, W, or NM. Because Stata executes the -replace- from top to bottom, each blank will be replaced in order, and the value of M/W/MN will propagate through the observations. Because of teh -bysort- prefix, values will not ...
in memory keep collinear variables within equations keep observations containing variables with missing values number of parameters and log-likelihood value of the constant-only model specifies that a model has been fit and sets the initial values b0 for the model to be fit based on those results...