A comparison between VAR processes jointly modeling GDP and Unemployment rate in France and Germany

Francesca Di Iorio and Umberto Triacca ()
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Umberto Triacca: Università degli Studi dell’Aquila

Statistical Methods & Applications, 2022, vol. 31, issue 3, No 7, 617-635

Abstract: Abstract Investigating the relationship between Gross Domestic Product and unemployment is one of the most important challenges in macroeconomics. In this paper, we compare French and German economies in terms of the dynamic linkage between these variables. In particular, we use an empirical methodology to investigate how much the relationship between Gross Domestic Product and unemployment growth rates are dynamically different in the two major European economies over the period 2003–2019. To this aim, a Vector Autoregressive model is specified for each country to jointly model the growth rate of the two variables. Then a new statistical test is proposed to assess the distance between the two estimated models. Results indicate that the dynamic linkage between Gross Domestic Product and unemployment is very similar in the two countries. This empirical evidence does not imply identical product and labor markets in France and Germany, but it ensures that in these markets there are common dynamics. This could favor the process of economic convergence between the two countries.

Keywords: AR metric; Bootstrap test; Okun’s law; Vector Autoregressive models (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10260-021-00594-2

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