Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/65360 
Year of Publication: 
2002
Series/Report no.: 
SFB 373 Discussion Paper No. 2002,9
Publisher: 
Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes, Berlin
Abstract: 
It has long been recognized that aggregating time series introduces correlation between consecutive values of the aggregated observations (see Working (1960)). This paper investigates the effect of aggregation on the relation between variables assuming that the data generating process involves two integrated variables linked by a specific error correction mechanism (cointegration). It will be shown that aggregation does not distort the cointegration relation while some other features of the data generating process will change considerably. Cointegration tests become invalid in a single equation framework but system cointegration analysis seems to be robust against various aggregation strategies.
Subjects: 
cointegration
aggregation
time series
JEL: 
C32
C43
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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