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Sectoral trends and cycles in Germany

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  • Yin-Wong Cheung
  • Frank Westermann

Abstract

We examine the comovements between the output indexes of three German sectors (manufacturing, mining, and agriculture) and the three corresponding sectoral stock market indexes. It is found that data with and without seasonal adjustment give mixed results on the long-run interaction between the sectoral indexes. Compared with data that are non-seasonally adjusted, the adjusted data offer weaker evidence on the cointegration relationship between a) the sectoral output indexes, b) sectoral stock indexes, and c) individual pairs of real and financial indexes. On short-run comovement, seasonally adjusted data offer stronger evidence on the presence of common synchronized and non-synchronized cyclical components. Copyright Springer-Verlag Berlin Heidelberg 2003

Suggested Citation

  • Yin-Wong Cheung & Frank Westermann, 2003. "Sectoral trends and cycles in Germany," Empirical Economics, Springer, vol. 28(1), pages 141-156, January.
  • Handle: RePEc:spr:empeco:v:28:y:2003:i:1:p:141-156
    DOI: 10.1007/s001810100123
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    3. Antonio E. Noriega, 2004. "Sector-Level Disaggregate Stochastic Trends in Mexico’s Real Output," Economía Mexicana NUEVA ÉPOCA, CIDE, División de Economía, vol. 0(1), pages 29-42, January-J.
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    More about this item

    Keywords

    Key words: Sectoral Cycles; Cointegration; Common Features; Codependence; Seasonality; JEL classification: E32; C32;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • 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

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