Variable-ordering induced problems of impulse-response analysis and other difficulties: the dividend policy of Austrian firms
by Tobias Basse, Sebastian Reddemann
International Journal of Computational Economics and Econometrics (IJCEE), Vol. 1, No. 3/4, 2010

Abstract: Orthogonalised impulses are the standard way to isolate shocks to variables in a vector error correction model. While using the Cholesky decomposition to adjust interdependencies of the shocks, the ordering of the variables on the stage of estimation has a great impact on the resulting impulse response functions. It is shown how the variable ordering affects the empirical evaluation of the dividend policy of Austrian firms examining corporate earnings, dividends and inflation. Additional problems are discussed (e.g., bootstrapped confidence intervals and seasonal adjustment procedures, missing variables). The paper has two messages: it is a fatal flaw of any economic model to omit important variables. Moreover, it is also of major importance to use appropriate econometric modelling techniques.

Online publication date: Wed, 05-Jan-2011

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Economics and Econometrics (IJCEE):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com