Germany has experienced tremendous growth rates in the aftermath of World War II. Since the early 1970s, growth rates declined and settled down at a more or less constant rate of 2 percent per year, only to experience a renewed negative trend around the early 2000s. We investigate the evolution...

Die vorliegende Studie wurde 1997-1998 im Auftrag des Bundesministeriums für wirtschaftliche Zusammenarbeit und Entwicklung vom ifo Institut erstellt. Ziel der Untersuchung war es, in einer Zeit, die durch große Probleme auf dem deutschen Arbeitsmarkt und knappe Ressourcen geprägt ist,...

After the fall of state socialism about two decades ago, democracy and market economies were assumed to diffuse worldwide. However, the American financial crisis of 2008, leading to a worldwide economic crisis caused increasing criticism of capitalism. As laissez-faire capitalism, Keynesianism...

This paper uses a long time series of German employment data to test the theory of Ngai & Pissarides (2007). The theory suggests that the shift of employment shares from manufacturing to services is due to divergent growth rates of total factor productivity (TFP) in the two sectors. To test the...

Recent studies focused on testing the Easterlin hypothesis (happiness and national income correlate in the cross-section but not over time) on a global level. We make a case for testing the Easterlin hypothesis at the country level where individual panel data allow exploiting important...

This paper attempts to analyze the growth effects of social security expenditures in Germany from a time series perspective. Therefore, a regression model based on standard determinants of growth is specified and estimated as a vector error correction model. Results show that there is a...

Recent studies focused on testing the Easterlin hypothesis (happiness and national income correlate in the cross-section but not over time) on a global level. We make a case for testing the Easterlin hypothesis at the country level where individual panel data allow exploiting important...