I am estimating the covariates for an aggregate market data set. I am aware of the pre-existing STATA packages out there like mlogit, clogit etc.., however they do not fit my case as I am working with aggregate and not individual level data. I have tried writing out a MLE function but it does not seem to be working
My dependant variable is market shares and my independant are product characteristics like price and product attributes. So I am estimating the likelihood as given below
I need help on knowing what's wrong with my code.
Code:
program define mcfadden args lnf Xb quietly replace `lnf' = `Xb' - ln(1+sum(exp(`Xb'))) end
My dependant variable is market shares and my independant are product characteristics like price and product attributes. So I am estimating the likelihood as given below
I need help on knowing what's wrong with my code.
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