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Temporal Aggregation and the Power of Cointegration Tests: A Monte Carlo Study

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Author Info
Haug, Alfred A
Abstract

The effect of time-aggregation on the power of commonly used tests for cointegration is studied with the Monte Carlo method. The results suggest that, for a given span, a higher frequency of observation can add substantially to test power. Also, Engle and Granger's (1987) ADF test leads overall to the highest and most stable powers for typical finite sample sizes and likely data generating processes encountered by practitioners. Copyright 2002 by Blackwell Publishing Ltd

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Article provided by Department of Economics, University of Oxford in its journal Oxford Bulletin of Economics & Statistics.

Volume (Year): 64 (2002)
Issue (Month): 4 (September)
Pages: 399-412
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Handle: RePEc:bla:obuest:v:64:y:2002:i:4:p:399-412

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  1. Byeongchan Seong & Sung K. Ahn & Peter A. Zadrozny, 2007. "Cointegration Analysis with Mixed-Frequency Data," CESifo Working Paper Series CESifo Working Paper No. , CESifo GmbH. [Downloadable!]
  2. Russell Smyth & Paresh Kumar Narayan, 2004. "Dead Man Walking: An Empirical Reassessment of the Deterrent Effect of Capital Punishment Using the Bounds Testing Approach to Cointegration," Econometric Society 2004 Australasian Meetings 332, Econometric Society. [Downloadable!]
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This page was last updated on 2008-8-11.


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