Granger Causality
Gebhard Kirchgässner,
Juergen Wolters and
Uwe Hassler
Chapter 3 in Introduction to Modern Time Series Analysis, 2013, pp 95-125 from Springer
Abstract:
Abstract So far, we have only considered single stationary time series. We analysed their (linear) structure, estimated linear models and performed forecasts based on these models. However, the world does not consist of independent stochastic processes. Just the contrary: in accordance with general equilibrium theory, economists usually assume that everything depends on everything else. Therefore, the next question that arises is about (causal) relationships between different time series.
Keywords: Interest Rate; Monetary Policy; Causal Relation; Granger Causality; Granger Causality Test (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Chapter: Granger Causality (2007)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sptchp:978-3-642-33436-8_3
Ordering information: This item can be ordered from
http://www.springer.com/9783642334368
DOI: 10.1007/978-3-642-33436-8_3
Access Statistics for this chapter
More chapters in Springer Texts in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().