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Differences across countries are exclusively driven by differences in the evolution of GDP and the STW take-up rate since the start of the crisis.
While the relationship is not a perfect fit, there seems to be a clear negative correlation between the evolution of GDP and inequality indicators during the episodes of crisis and recovery.
Figure 4 shows the evolution of GDP per working-age person in the data, in the benchmark model, and in the counterfactual model with constant taxes and constant government consumption.
The results reported in Figs. 13, 14 and 15 show that the lack of productivity growth over the period 1995 2015 is very important for understanding the evolution of GDP per working-age person and the capital-output ratio, but that its impact on hours worked is small.
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Figure 5 shows the evolution of Belgian GDP for the period 1996q1-2008q2.
The endogenous variables react to the evolution of the exogenous variables, which are the evolution of TFP of GDP at factor prices, the evolution of the working-age population, and the evolution of tax rates as measured in the data.
Our fifth question asked, 'What is the relationship between public acceptance of evolution and GDP per capitaby state in the US?' To answer this question, we examined the bivariate correlation between GDP per capita and public acceptance of evolution.
This poor economic performance has implied a volatile evolution of its per capita GDP growth and a deteriorating income distribution, as shown in Fig. 1.
Studies show that states and countries with higher levels of acceptance of evolution have higher GDP (Heddy and Nadelson [2012], [2013]) and are more successful (Coyne [2012]; Paul [2009]; Solt et al. [2011]).
Due to the unique aspects of evolution acceptance that GDP per capita may predict, we argue that this variable should be taken into consideration when examining international levels of evolution acceptance.
Lamaute-Brisson (2013) reveals that the evolution of government education expenditure was erratic between 2002 (1.65% of GDP) and 2005 and then it collapsed in 2006 (0.57% of GDP) until 2011 (0.59% of GDP), when it picked up.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com