Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Re: st: RE: Cointegration analysis including exogenous variables
From
Syed Basher <[email protected]>
To
[email protected]
Subject
Re: st: RE: Cointegration analysis including exogenous variables
Date
Tue, 8 Mar 2011 08:24:41 -0800 (PST)
This may not be relevant for Stata users, but the problem you described is easy
to handle in other packages. For example, Eviews has an option to include
exogenous variables in cointegrating model. If you do not mind sharing your
data, I can attempt to estimate it for you in Eviews.
Syed Basher
Doha, Qatar.
----- Original Message ----
From: Beat Hintermann <[email protected]>
To: [email protected]
Sent: Tue, March 8, 2011 6:53:13 PM
Subject: Re: st: RE: Cointegration analysis including exogenous variables
i get your point. but i'm working with monthly weather measures, not
long-term climate trends. i think it's safe to say that monthly
heating-degree days and precipitation events are exogenous to today's
fuel and electricity prices.
exogenous or not, they are I(0) and therefore not part of the
cointegrating relationship. how should I take them into the model? any
idea?
On 08.03.2011 16:35, Nick Cox wrote:
> Treating the weather as "truly exogenous" is not the best current science,
>although I imagine you don't want to build climate change into your model.
>
> Nick
> [email protected]
>
> Beat Hintermann
>
> I would like to estimate the cointegrating relationship between 3 I(1)
> variables, but in the presence of exogenous I(0) variables.
> Specifically, I want to estimate the long-term relationship between
> electricity, gas and coal prices, but taking into account exogenous
> weather shocks (like heating degree days or precipitation, stuff that is
> truly exogenous).
>
> From what I gathered in the Statalist archive, it is not advisable (and
> perhaps even impossible) to include exogenous and/or I(0) variables into
> the vec model framework. But since the weather definitely influences
> electricity and fuel prices, I don't see how ignoring this information
> will give me the best result.
>
>
> *
> * For searches and help try:
> * http://www.stata.com/help.cgi?search
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
--
Beat Hintermann
Assistant Professor
University of Basel, Faculty of Business and Economics (WWZ)
Peter Merian-Weg 6, 4002 Basel, Switzerland
Tel. +41 61 267 3339
------------------------------------------
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/