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Persistence and Seasonality in output and Employment of the Federal Republic of Germany

Author

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  • Jürgen WOLTERS

    (Freie Universität Berlin)

Abstract

The purpose of this paper is to investigate whether shocks to out- put and employment had permanent or transitory effects during the period from 1961 to 1990 in the Federal Republic of Germany. There are a lot of parametric and non-parametric approaches which can be used for data generating processes which are difference-stationary or trend-stationary. But especially output and employment time series show very strong seasonal movements. Before employing usual persistence measures one has to test for seasonal integration. The application of seasonal adjustment procedures which are typically used in practice lead to different degrees of persistence, so one has to be very careful in interpreting the results.

Suggested Citation

  • Jürgen WOLTERS, 1992. "Persistence and Seasonality in output and Employment of the Federal Republic of Germany," Discussion Papers (REL - Recherches Economiques de Louvain) 1992043, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    • Handle: RePEc:ctl:louvre:1992043
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    File URL: http://www.jstor.org/stable/40724002
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    Cited by:

    1. Yang, Lijian & Park, Byeong U. & Xue, Lan & Hardle, Wolfgang, 2006. "Estimation and Testing for Varying Coefficients in Additive Models With Marginal Integration," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1212-1227, September.
    2. Franses, Philip Hans, 1995. "The effects of seasonally adjusting a periodic autoregressive process," Computational Statistics & Data Analysis, Elsevier, vol. 19(6), pages 683-704, June.
    3. repec:hum:wpaper:sfb649dp2005-047 is not listed on IDEAS

    More about this item

    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
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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