The link between democracy and within-country income inequality remains an unresolved quest in the literature of political economy. To look into this debate, I propose exploring the implications of electoral systems, rather than political regimes, on income inequality. I surmise that proportional representation systems should be associated with lower income inequality than majoritarian or mixed systems. Further, I conjecture that the relationship between electoral systems and income inequality hinges on the de facto distribution of real political power, namely political equality. I use data on 85 countries covering the period 1960–2016 and specify models able to capture the persistence and mean reversion of income inequality. The estimates fail to significantly associate democracy with income inequality, and find other political institutions to significantly shape income inequality. The paper finds a robust association between more proportional systems and lower income inequality. However, this association depends on political equality. Changes towards proportional representation systems seem to lower income inequality at low and medium levels of political equality. Strikingly, instrumental variable estimates show that changes in electoral systems in political equal societies increases income inequality.
This paper examines the relationship between political equality and quality of government. Our hypothesis is that political equality fosters access to inclusive education and ultimately promotes good governance. We empirically test this hypothesis using data for 145 countries with different levels of economic development. In order to overcome potential endogeneity problems, our identification strategy exploits the variation in political equality in geographically neighbouring countries by means of spatial econometric techniques. The results reveal a positive and statistically significant effect of political equality on the quality of government. This implies that countries where political power is
This paper studies the relationship between cultural values and gender distribution across fields of study in higher education. I compute national, field and subfield-level gender segregation indices for a panel dataset of 26 OECD countries for 1998–2012. This panel dataset expands the focus of previous macro-level research by exploiting data on gender segregation in specific subfields of study. Fixed-effects estimates associate higher country-level religiosity with lower gender segregation in higher education. These models crucially control for potential segregation factors, such as labor market and educational institutions, and gender gaps in both self-beliefs and academic performance in math among young people.
Relatively little empirical research has analyzed the sources of students’ self-perceptions outside the US and Europe, and in new fields of study like renewable energy. This paper aims at filling this gap by identifying differences in self-efficacy levels of post-graduate students in Erasmus+ capacity-building programs on renewable energy in Argentinian and Guatemalan universities. We analyzed a sample of 43 students to test intersectional differences in self-efficacy, looking at students’ gender, country of origin, and maternal employment. Using the New General Self-Efficacy scale, we performed the t-test to compare mean differences in self-efficacy, and one-way and two-way ANOVA tests to check the consistency of the results. Our estimates did not show significant gender gaps in self-efficacy among renewable-energy post-graduate students, but they did uncover relevant country differences in mean self-efficacy levels, mainly due to differences in socio-economic indicators and gender norms between the two countries analyzed. Moreover, we found a mediating role of maternal employment in cross-country self-efficacy differences, whereas the characteristics of fathers appeared uninfluential. We conclude by stressing the importance of intersectional analysis in terms of country of origin, family backgrounds, and gender norms to increase knowledge about differences in self-efficacy of students.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.