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Development accounting then compares the observed variation in GDP per worker across countries to the estimated counter-factual variation due to differences in measured factors of production only.
Importantly, variation in GDP per capita by state was significantly related to religiosity (negatively), educational attainment (positively), and evolution acceptance (positively).
Even though our sample only includes upper-middle and high income countries the magnitude of variation in GDP per worker is significant, with a cross-country standard deviation equal to 28% of the mean.
The households which do not respond to the exogenous variation in GDP at the destinations but still migrate are concentrated in the north of the country and are mostly located at the border with the Ukraine or Romania.
The prices of our "non-traded" intermediate inputs vary across countries with variation in GDP per capita, though not always in ways that were anticipated.
While it is difficult to draw comparisons across settings given the socio-cultural determinants of community preferences and the extent of between context variation in GDP per capita, comparison between our findings and those reported by Baltussen et al [ 47, 48] suggests that non-health attributes may have a role to play in priority setting irrespective of context.
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The case-related factors could explain between 30 100% of the individual variation in GDPs' confidence.
The case-related factors (medical condition and dental procedure) could explain between 30 100% of the individual variation in GDPs' confidence.
For each GDP, we calculated an R-value presenting the extent to which variation in GDPs' confidence assessments could be explained by the factors medical condition and dental procedure (two-way ANOVA analysis).
But during recessions firms slow production and liquidate stock, which causes large variations in GDP growth.
What is more, [20] found that variations in GDP explain roughly 75percentt of observed variation in the aggregate nighttime light emissions.
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