Edited by Nigar Hashimzade and Michael A. Thornton
Chapter 7: Cointegration and error correction
Elementary courses in statistics introduce at an early stage the key assumption of ‘random sampling’. In more technical language, the data set is assumed to be identically and independently distributed (i.i.d.). In this framework a range of simple and elegant results can be derived, for example, that the variance of the mean of n observations is 1/n times the variance of the observations themselves.
You are not authenticated to view the full text of this chapter or article.
Elgaronline requires a subscription or purchase to access the full text of books or journals. Please login through your library system or with your personal username and password on the homepage.
Non-subscribers can freely search the site, view abstracts/ extracts and download selected front matter and introductory chapters for personal use.
Your library may not have purchased all subject areas. If you are authenticated and think you should have access to this title, please contact your librarian.