[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

RE: st: estimating the covariance matrix of probit two stage procedure

From   Maarten buis <>
Subject   RE: st: estimating the covariance matrix of probit two stage procedure
Date   Thu, 27 Dec 2007 13:09:39 +0000 (GMT)

Ok, I think I (roughly) understand your question now. I am only going
to give you very general advise here, and I am not going to implement
it in Stata code, as I am in my final half year of my dissertation...

Try to write down the entire likelihood function and maximize that with
Stata -ml- command. In part those two-step methods were invented
because computational power was so expensive at that time to make such
short-cuts profitable. Now we can much more easily use the more general
maximum likelihood methodology. When tyring to maximize the likelihood
function you may find the following book invaluable:

-- Maarten

--- Guillermo Armelini wrote:
> Sorry I express myself incorrectly, because looking at what I
> proposed in the first email, you are completely right that this is
> precisely the Heckman selection model
> What I'm trying to do is to estimate a model about how different
> methods of customer acquisition affect customers profitability. I opt
> for a kind of selection model because I have a set of "N" prospect in
> the sample likely to adopt but, then only a number of them end up
> adopting. This is the reason why in the first equation I proposed
> using a probit model
> Z(i)=AV(i)+U(i) (equation 1)
> Z(i)=1 if Z(i)>0
> Z(i)=0 if Z(i)<=0
> where A is a vector of parametes and V is a set of covariates related
> with different methods of customer acquisition (advertising,
> publicity, referral, etc.)
> The second equation is a conditional regression:
> Y(i)=bX(i)+E(i) if Z(i)=1  (second equation)
> where "bs" are the coefficients to be estimated and "Xs" are the
> covariates that affect customer profitability of those that were
> already acquired (i.e. duration, degree of satisfaction, etc.)
> Up to here everything will be ok running a heckman selection model.
> The problem is that Y(i) is not observed, for all observations,
> because Y(i) is the variable of customer profitability, and in the
> period that I'm taking into consideration, most of the customers are
> still "alive", so this equation, by itself is censored. For that
> reason, I think that in this case heckman model is not the correct
> one to estimate what I wanted to do.
> There is an article by Lee, Maddala and Trost (1980) in which authors
> proposed a method to calculate the correct variance covariance matrix
> whenever there is a model like the one I would like to estimate.
> Asymptotic Covariance Matrices of Two-Stage Probit and Two-Stage
> Tobit Methods for Simultaneous Equations Models with Selectivity
> Lung-Fei Lee, G. S. Maddala, R. P. Trost Econometrica, Vol. 48, No. 2
> (Mar., 1980), pp. 491-503

Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands

visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434

+31 20 5986715

Sent from Yahoo! Mail - a smarter inbox

*   For searches and help try:

© Copyright 1996–2022 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index