Bookmark and Share

Notice: On March 31, it was announced that Statalist is moving from an email list to a forum. The old list will shut down on April 23, and its replacement, is already up and running.

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

st: RE: Instrumental variables in time series using GMM

From   "Schaffer, Mark E" <>
To   <>
Subject   st: RE: Instrumental variables in time series using GMM
Date   Thu, 13 Sep 2012 18:28:55 +0100


> -----Original Message-----
> From: [mailto:owner-
>] On Behalf Of Armand Fouejieu Azangue
> Sent: 13 September 2012 10:45
> To:
> Subject: st: Instrumental variables in time series using GMM
> Dear all,
> In my current work I am facing an issue and I hope that some of you
may help
> with some guidance.
> In time series, I would like to estimate a dynamic equation with GMM
> instrumental variables approach (in the spirit of "xtabond" command
> panel data).
> The equation form is the following: Yt = aYt-1 + bXt + cZt + ...+ ?t
> The explanatory variables are endogenous and I would like to used
their lag
> values as instruments.
> I was wondering if you could guide me to find the best command on
> to do this.
> Both ?ivreg2? and ?gmm? commands are available, but which one is the
> suitable? Or is there any another command to do this?

This looks like a straightforward linear IV/GMM estimation.  Either
-ivreg2- or Stata's built-in -ivregress- should do what you want.  The
-gmm- command is for more complicated specifications (e.g., nonlinear
models) but you don't need this flexibility.


> Many thanks
> Armand
> *
> *   For searches and help try:
> *
> *
> *

Heriot-Watt University is the Sunday Times
Scottish University of the Year 2011-2012

We invite research leaders and ambitious early career researchers to 
join us in leading and driving research in key inter-disciplinary themes. 
Please see for further information and how
to apply.

Heriot-Watt University is a Scottish charity
registered under charity number SC000278.

*   For searches and help try:

© Copyright 1996–2016 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   Site index