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The effect of seasonal adjustment on the properties of business cycle regimes

โœ Scribed by Antonio Matas-Mir; Denise R. Osborn; Marco J. Lombardi


Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
209 KB
Volume
23
Category
Article
ISSN
0883-7252

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โœฆ Synopsis


Abstract

We study the impact of seasonal adjustment on the properties of business cycle expansion and recession regimes using analytical, simulation and empirical methods. Analytically, we show that the Xโ€11 adjustment filter both reduces the magnitude of change at turning points and reduces the depth of recessions, with specific effects depending on the length of the recession. A Monte Carlo analysis using Markovโ€switching models confirms these properties, with particularly undesirable effects in delaying the recognition of the end of a recession. However, seasonal adjustment can help to clarify the true regime when this is well underway. These results continue to hold when a seasonally nonโ€stationary process with regimeโ€dependent mean is misspecified as one with deterministic seasonal effects. The empirical findings, based on four coincident US business cycle indicators, reinforce the analytical and simulation results by showing that seasonal adjustment leads to the identification of longer and shallower recessions than obtained using unadjusted data. Copyright ยฉ 2008 John Wiley & Sons, Ltd.


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