The analysis of nonstationary time series using regression, correlation and cointegration

9 Citations (Scopus)

Abstract

There are simple well-known conditions for the validity of regression and correlation as statistical tools. We analyse by examples the effect of nonstationarity on inference using these methods and compare them to model based inference using the cointegrated vector autoregressive model. Finally we analyse some monthly data from US on interest rates as an illustration of the methods
Original languageEnglish
JournalContemporary Economics
Volume6
Issue number2
Pages (from-to)40-57
Number of pages18
ISSN2084-0845
DOIs
Publication statusPublished - 2012

Keywords

  • Faculty of Social Sciences

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