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The financial development variable of Table 2 (financial efficiency) is the ratio of the financial development variable in Table 3 (financial credit) to the financial development variable in Table 1 (financial deposits).
In this model the financial development variable is included in an endogenous growth model.
We controlled for all variables significantly related to any child development variable in multiple regression analyses of each developmental outcome.
Using predicted diversity in regressions of the economic development variable similar to those performed with observed diversity, a broadly significant quadratic relationship between economic development and predicted diversity was observed, even after controlling for other variables.
Since the commercial development variable remained in the regression model with a negative coefficient however, it seems that as mixed land patterns give way to highly impacted landscapes, with high levels of impervious surface, there reaches a point at which protective cover falls below a minimal threshold.
Repeating the regressions of the economic development variable on "observed diversity"—with the only difference from Ashraf and Galor (2013) being use of the data on 237 populations in 39 countries instead of 53 populations in 21 countries we observe that the quadratic relationship is no longer close to statistically significant (Table 1).
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Consistent with Asongu (2013), four financial development variables are used, namely: depth, efficiency, activity, and size.
To determine whether altering selected components of sequential culture media can improve early development variables of human embryos.
It is important to note that some of the signs may vary from one table to another, because the financial development variables are by definition inconsistent.
Germans are considerably more likely to walk, bike, and use public transport than Americans even if socio-economic, demographic and spatial development variables are quite similar.
Inclusion of other socioeconomic development variables was guided by the four reasons for the RTF Kuznets Curve discussed above (roads and regulation, competing risks, vehicle mix, and medical technology).
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