Title of article :
International Business Cycle Asymmetry and Time Irreversible Nonlinearities
Author/Authors :
Steven Cook & Alan Speight، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2006
Abstract :
Using tests of time reversibility, this paper provides further statistical evidence on the
long-standing conjecture in economics concerning the potentially asymmetric behaviour of output
over the expansionary and contractionary phases of the business cycle. A particular advantage of
this approach is that it provides a discriminating test that is instructive as to whether any
asymmetries detected are due to asymmetric shocks to a linear model, or an underlying nonlinear
model with symmetric shocks, and in the latter case is informative as to the potential form
of that nonlinear model. Using a long span of international per capita output growth data, the
asymmetry detected is overwhelmingly consistent with the long standing perception that the
output business cycle is characterized by steeper recessions and longer more gentle expansions,
but the evidence for this form of business cycle asymmetry is weaker in the data adjusted for the
influence of outliers associated with wars and other extreme events. Statistically significant time
irreversibility is reported for the output growth rates of almost all of the countries considered in
the full sample data, and there is evidence that this time irreversibility is of a form implying an
underlying nonlinear model with symmetrically distributed innovations for 15 of the 22 countries
considered. However, the time irreversibility test results for the outlier-trimmed full sample data
reveal significant time irreversibility in output growth for around one half of the countries
considered, predominantly in Northern Europe and North America, and of a form implying a
nonlinear underlying model in only a further half of those cases
Keywords :
Time irreversibility , Nonlinearity , Time reversibility , per capita output growth
Journal title :
JOURNAL OF APPLIED STATISTICS
Journal title :
JOURNAL OF APPLIED STATISTICS