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Sources of German unemployment: A structural vector error correction analysis

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  • Brüggemann, Ralf

Abstract

In this paper we analyze the sources of German unemployment within a structural vector error correction model (SVECM) framework. For this purpose, we propose a method to estimate an exactly identified Subset SVECM, which is a SVECM with short run parameter restrictions. A cointegration analysis for the unified Germany reveals a long rum relationship between real wages, productivity and unemployment which is interpreted as a wage setting relation. From a Subset VECM we identify meaningful structural shocks and assess their importance for unemployment by impulse response analysis and forecast error variance decompositions. We compare these results to results from a standard SVECM and find that, using the Subset VECM reduces estimation uncertainty. In contrast to previous studies for West Germany, we find that, unemployment is equally determined by technology, labor supply and labor demand shocks in the long run. - Unemployment ; Subset VECM ; Structural VECM ; Bootstrap ; Cointegration

Suggested Citation

  • Brüggemann, Ralf, 2001. "Sources of German unemployment: A structural vector error correction analysis," SFB 373 Discussion Papers 2001,19, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  • Handle: RePEc:zbw:sfb373:200119
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    3. Sunde, Tafirenyika & Akanbi, Olusegun Ayodele, 2016. "The Dynamic Effects of Monetary Policy on Real Variables in Namibia," African Journal of Economic Review, African Journal of Economic Review, vol. 4(1), January.
    4. Antoine Kamiantako Miyamueni & Henry Ngongo Muganza, 2018. "Chocs technologiques, chocs des prix et fluctuations du ch\^omage en R\'epublique D\'emocratique du Congo," Papers 1804.09532, arXiv.org.
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    9. Tafirenyika Sunde & Olusegun A. Akanbi, 2016. "Sources of unemployment in Namibia: an application of the structural VAR approach," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 8(2), pages 125-143.
    10. Juan José Echavarría Soto & Enrique López Enciso & Martha Misas Arango, 2008. "La tasa de cambio real de equilibrio en Colombia y su desalineamiento: estimación a través de un modelo SVEC," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 26(57), pages 282-319, December.
    11. Mosso-Martínez, Margarita M. & López-Herrera, Francisco, 2020. "Variables económicas y deterioro de la calidad de la cartera de hipotecas bursatilizadas en México," eseconomía, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 15(52), pages 47-68, Primer se.
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    13. Martha Misas Arango & Enrique López Enciso & Juana Téllez Corredor & José Fernando Escobar, 2005. "La Inflación Subyacente en Colombia: Un Enfoque de Tendencias Estocásticas Comunes Asociadas a un VEC Estructural," Borradores de Economia 324, Banco de la Republica de Colombia.
    14. Firew B Woldeyes, 2013. "Long-Run Effects of Resource Rents in Developing Countries: The role of public investment management," OxCarre Working Papers 105, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
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    JEL classification:

    • 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
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

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