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Real wages and the business cycle in Germany

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  • Martyna Marczak
  • Thomas Beissinger

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. Copyright Springer-Verlag 2013

Suggested Citation

  • Martyna Marczak & Thomas Beissinger, 2013. "Real wages and the business cycle in Germany," Empirical Economics, Springer, vol. 44(2), pages 469-490, April.
  • Handle: RePEc:spr:empeco:v:44:y:2013:i:2:p:469-490
    DOI: 10.1007/s00181-011-0542-4
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    Cited by:

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    2. Eva Lajtkepová, 2020. "Distribution of Wages in the Regions of the Czech Republic," ACTA VSFS, University of Finance and Administration, vol. 14(2), pages 123-136.
    3. Marczak, Martyna & Gómez, Víctor, 2012. "SPECTRAN, a set of Matlab programs for Spectral analysis," FZID Discussion Papers 60-2012, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    4. Marczak, Martyna & Gómez, Víctor, 2015. "Cyclicality of real wages in the USA and Germany: New insights from wavelet analysis," Economic Modelling, Elsevier, vol. 47(C), pages 40-52.
    5. Martyna Marczak & Thomas Beissinger, 2016. "Bidirectional relationship between investor sentiment and excess returns: new evidence from the wavelet perspective," Applied Economics Letters, Taylor & Francis Journals, vol. 23(18), pages 1305-1311, December.
    6. Schönfelder, Bruno & Wild, Frank, 2013. "Volkswirtschaftliche Wirkungen der Alterungsrückstellungen in der Privaten Kranken- und Pflegeversicherung," WIP-Analysen August 2013, WIP – Wissenschaftliches Institut der PKV.
    7. Jan Bruha & Jiri Polansky, 2015. "Empirical Analysis of Labor Markets over Business Cycles: An International Comparison," Working Papers 2015/15, Czech National Bank.
    8. Miyamoto, Hiroaki, 2015. "Cyclical behavior of real wages in Japan," Economics Letters, Elsevier, vol. 130(C), pages 56-59.
    9. Dima, Bogdan & Dima, Ştefana Maria, 2017. "Energy consumption synchronization between Europe, United States and Japan: A spectral analysis assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1261-1271.

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    More about this item

    Keywords

    Real wages; Business cycle; Frequency domain; Phase angle; Time domain; Trend-cycle decomposition; Structural time series model; Germany; E32; C22; C32; J30;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General

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