Re: st: tiny bug in cmp.ado [was:treatment effect estimation with an ordinal 1st step and a continuous 2nd step]

[박재민 <jpark@konkuk.ac.kr>]

Dear Kit (and Martin and Tirthankar),

The new cmp from ssc works wonderfully for me and also for the official 
example Martin mentioned.

For the others who may have the same interest, the followings are the 
summary of what I have experienced:


Treatment effects model with endogenous treatment: first stage ordered 
probit, second stage uncensored:

cmp (y1 = x1) (y2 = x2 y1), ind($cmp_oprobit $cmp_cont) qui

where

y1 = first stage ordinal dependent variable
y2 = second stage uncensored continuous dependent variable
x1 = first stage explanatory variables
x2 = second stage explanatory variables


Kit and Tirthankar and, of course, Martin, thanks much for your time and 
effort.

Jaemin



----- Original Message ----- 
From: "Christopher Baum" <kit.baum@bc.edu>
To: <statalist@hsphsun2.harvard.edu>
Sent: Sunday, July 18, 2010 8:00 PM
Subject: Re: st: tiny bug in cmp.ado [was:treatment effect estimation with 
an ordinal 1st step and a continuous 2nd step]


> On Jul 18, 2010, at 2:33 AM, Martin wrote:
>
> So David Roodman sent a private email to me and Jaemin to the effect that 
> he
> has dispatched an improved version of -ssc d cmp- to Kit Baum.
>
> This update is now available from SSC.
>
> Kit
>
>
>
> Kit Baum   |   Boston College Economics & DIW Berlin   | 
> http://ideas.repec.org/e/pba1.html
>                              An Introduction to Stata Programming  | 
> http://www.stata-press.com/books/isp.html
>   An Introduction to Modern Econometrics Using Stata  | 
> http://www.stata-press.com/books/imeus.html
>
>
> *
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