Persistence and Seasonality in output and Employment of the Federal Republic of Germany
AbstractThe 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.
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Bibliographic InfoPaper provided by Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES) in its series Discussion Papers (REL - Recherches Economiques de Louvain) with number 1992043.
Date of creation: 01 Sep 1992
Date of revision:
Find related papers by 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
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
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- Yang, Lijian & Härdle, Wolfgang & Park, Byeong U., 2002.
"Estimation and testing for varying coefficients in additive models with marginal integration,"
SFB 373 Discussion Papers
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- Lijian Yang & Byeong U. Park & Lan Xue & Wolfgang Härdle, 2005. "Estimation and Testing for Varying Coefficients in Additive Models with Marginal Integration," SFB 649 Discussion Papers SFB649DP2005-047, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- 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.
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