Statalist


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

st: predicting (fitted) values after ivtobit


From   Alejandro Delafuente <alejandro.delafuente@sant.ox.ac.uk>
To   statalist@hsphsun2.harvard.edu
Subject   st: predicting (fitted) values after ivtobit
Date   Sat, 02 Feb 2008 21:54:19 +0000

Dear statalisters,

Am trying to show graphically the relationship between a score index 
(X - independent variable) and remittance levels (Y - dependent variable)
estimated with an ivtobit model.
 
Thus far, after running the ivtobit model I predict marginal effects as follows:
mfx compute, at(mean X = numerical value)
As part of the above computation Stata displays the (predicted) fitted values 
for Y. 
Then manually I plot various predicted values of remittances estimated across a 
full range of different levels of the score index, leaving the rest of 
independent variables fixed at their mean.

Two questions:
Is this the right way to predict expected levels of remittances, considering 
that am doing some left censoring at zero? In other words, am I using the 
corrected 'fitted values' command?

Is there any graph option that would allow Stata do this for me more directly
(i.e, to use an overlayed picture of the scatter of actual observations and 
then the fitted values above it), although my score index has many values 

Many thanks,

Alejandro

-- 
Alejandro de la Fuente
Department of International Development/QEH
University of Oxford, Mansfield Road, Oxford OX1 3TB
Tel: 01865 281836

*
*   For searches and help try:
*   http://www.stata.com/support/faqs/res/findit.html
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/



© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index