We produced the new EF level into the empirical test during the Design step 3 to first present brand new understood inverse relationships between EF and you can GDP growth
Results detailing significant correlations and interactions are revealed across the four models presented in Table 4 (details on the empirical methodology are provided in the appendix). First, we found consistent baseline results that replicate the predicted economic development argument, which suggests that GDP grows at a higher rate in countries with higher investments in infrastructure, human capital and strong rule of law (Model 1). However, our main curiosity is whether the gender of the national leader matters in comparatively diverse countries. We replicated this significant finding (p<0.001) found in previous cross-national comparative studies, which demonstrates that EF is a negative correlate of GDP growth. While we make no claims about the causal mechanisms, the directional impact of EF on GDP growth is consistent with the idea that an ethnically diverse country is more difficult to lead than a less diverse country. We then tested the interaction of EF and gender (Model 4) and found a positive and significant (p<0.01) association with GDP growth rate. In other words, this interaction suggests that high levels of ethnic fractionalization account for the biggest difference in GDP growth for male and female leaders. Highly ethnically diverse countries led by a female have a 6.6 percent GDP growth rate in the subsequent year, if the country has extreme ethnic fractionalization (EF=1) (Figure 4). For example in Liberia, one of the most ethnically diverse and difficult to lead countries in our sample (EF=0.91), the predicted GDP growth is percent if the leader is female, versus -1.89 percent if the leader is male.
2nd, we presented an empirical decide to try to look at if or not you will find full GDP rate of growth differences between male and female leadership and found no significant distinctions (Model 2)
Psychologists point out behavioural correlations to explain why lady would-be more suitable leaders than men in varied setup. Continue reading “Normally, male and female federal leaders did equally inside the Model 1 and you can Model dos”