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StatFact

Posted: Wed Apr 15, 2015 2:57 pm
by CharlieEVIEWS
This thread is about the StatFact add-in for extracting static factors from macro-panels.

The add-in allows you to estimate factors from 'macro-panels' by the method of asymptotic principle components (as per Stock and Watson 2002). Taking a group object as input, it provides multiple options (through both the command line and a GUI) to estimate Bai and Ng (2002) information criteria (PC, IPC, AIC3 and BIC3), to take first differences of the whole group, to standardize the group, to output loadings, to normalize the factors, and to output graphics of the factors themselves, loadings, scree plots and % of variance explained.

Re: StatFact

Posted: Sat Apr 25, 2015 3:49 am
by trubador
Dimensional reduction in large macroeconomic models are very important and this is one of the most commonly used methods. Nice to have it as an EViews add-in now. Thanks for the effort and sharing.

Re: StatFact

Posted: Thu Jun 20, 2019 1:08 pm
by heer0
EDIT: I found the answer to my question by accident. You first need to select a group object of multiple series. Then the statfact option appears in the interface.

Hi guys,

I would like to use the statfact add-in in order to determine the appropriate number of factors to be estimated by principal components for a large marco data set. However, after downloading and installing the add-in, no GUI option appears in my EViews menu (version 10, university edition). Does anybody know if the add-in is still working by means of command:

Code: Select all

group object.statfact(options) factornames #
?

If it does not work under my EViews version, do you know of a suitable alternative?

Thank you in advance.

All help is much appreciated!

Re: StatFact

Posted: Fri Nov 22, 2019 1:24 pm
by ouerk
HI
bain.jpg
bain.jpg (37.85 KiB) Viewed 16260 times
,

i perform Principle component based estimation of static factors from macro-panels, with r determined by Bai and Ng (2002) criteria. My N=39 and T=145.
i would like determine r using my result ( in attachment). How can i do ? (how can i interpret my result)

Many thanks !