[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

st: multiple imputation and instrumental variables and several tests

From   Matthijs De Zwaan <>
Subject   st: multiple imputation and instrumental variables and several tests
Date   Thu, 17 Dec 2009 19:02:30 +0100

Dear Stata-listers,

I have used King et al's Amelia II program for use with R to create
ten data sets that simulate the missing values in my panel data set. I
would like to analyse these data in Stata 10.1 using -miest-. (My
knowledge of R is rudimentary, and I do not have the time to learn R
and King's Zelig plugin, although it seems that those programs would
be able to give me what I want...)

I want to do an Instrumental Variables analysis to deal with
endogeneity issues, but -miest- is not compatible with -ivregress- or
-ivreg2-. Is there a way to do IV with imputed data sets, preferably a
straightforward one? If the re is no easy way, how should I go about
this? Can I run my analysis for each of the ten data sets, and then
combine the results in the same way that -miest- would combine a
command, ie averages for the coefficients, and variance within data
sets + variance across data sets for the standard errors? If so, can I
do this for the first and second stages of TSLS separately? How should
I deal with all the IV-diagnostics?

A related questions concerns the testing for serial and
cross-sectional correlation, and  cross-sectional heterogeneity. In a
standard situation I would do his using -xtserial- en -xttest2/3-. How
should I go about this for imputed data?

Thank you,
Matthijs de Zwaan
*   For searches and help try:

© Copyright 1996–2015 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index