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Real Wages and the Business Cycle in Germany

Authors: Marczak, Martyna; Beissinger, Thomas;

Real Wages and the Business Cycle in Germany

Abstract

This article establishes stylized facts about the cyclicality of real consumer wages and real producer wages in Germany. As detrending methods, we apply the Beveridge–Nelson decomposition, the Hodrick–Prescott filter, the Baxter–King filter, and the structural time series model. The detrended data are analyzed both in the time domain and in the frequency domain. The great advantage of an analysis in the frequency domain is that it allows to assess the relative importance of particular frequencies for the behavior of real wages. We propose to use the phase angle as a suitable measure to get detailed information about the correlation and the lead–lag behavior of real wages relative to GDP at different frequencies. In the time domain, we find that both real wages display a procyclical pattern and lag behind the business cycle. In the frequency domain, the consumer real wage lags behind the business cycle and shows an anticyclical behavior for shorter time periods, whereas for longer time spans a procyclical behavior can be observed. For the producer real wage, however, the results in the frequency domain remain inconclusive.

Country
Germany
Keywords

Reallohn, Konjunktur, 330, Economics, trend-cycle decomposition, real wages, business cycle, frequency domain, time domain, Germany, trend-cycle decomposition, structural time series model, phase angle, frequency domain, business cycle, Germany, Verarbeitendes Gewerbe, J30, Deutschland, C32, structural time series model, E32, ddc:330, time domain, Konsumgüterindustrie, real wages, real wages,business cycle,frequency domain,time domain,trend-cycle decomposition,structural time series model,phase angle,Germany, phase angle, Real wages, Zeitreihenanalyse, time domain, trend-cycle estimation, C22, Schätzung, jel: jel:C22, jel: jel:E32, jel: jel:C32, jel: jel:J30

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Average
Average
Green
bronze