This paper addresses the empirical question of whether microfinance has any impact on income inequality at the macrolevel. Very little research has been conducted on the relationship between the macrolevel scale of microfinance and income inequality over time in a country and across countries. Based on panel‐data techniques, with annual data from 85 countries from 2001 to 2012 and a broad theoretical framework on microfinance and inequality, we provide empirical evidence that suggests that increases in the macrolevel scale of microcredit in a country contribute to reducing income inequality within that country over time. Finally, since microfinance may be endogenous, we used instruments from the existing literature to control for this problem.

The goal of this paper is to provide empirical evidence to determine whether microfinance, measured through a country's gross loan portfolio per capita, has a heterogeneous effect on poverty reduction among countries with different levels of poverty. We have used a panel‐data quantile regression with a data set for 57 countries for the years 2005, 2008, and 2011 to estimate the distributional impacts of microcredits on two poverty indices. Results reveal not only that microfinance significantly reduces the incidence and depth of poverty, but also that this effect differs across the different poverty levels (quantiles). The effect of microcredit on poverty reduction is slightly larger among countries where the incidence and depth of poverty are the highest, suggesting that microcredit reaches and benefits even the poorest individuals.

This paper analyses empirically the relationship between economic development and fertility. Through a new sample selection and quantile regression, it investigates whether there is an inverse J-shaped pattern between these two variables, and, if so, whether it depends on development and fertility levels. Our results confirm that the inverse J-shaped pattern exists, but only when a certain level of economic development is attained. Results also suggest an innovative finding: the J-shape depends not only on the development but also on the fertility level. The higher the fertility rate, the higher the GDP per capita needed to reverse fertility decline, and the faster the negative and positive segments of the J-shape fall and grow. Keywords J-shaped pattern Á Fertility rate Á Economic development Á Quantile regression JEL Classification C21 Á J11 Á J13

Abstract:The objective of this paper is to study the relationship between economic growth and civil liberty across the globe in the long run. To fulfill this aim, we use an unbalanced panel of 149 countries for the period 1850–2010 with data on gross domestic product (GDP) from Maddison, and data on civil liberties from Polity IV. The dynamics of both variables are investigated. Once country and time effects are accounted for in a dynamic panel data model, our results show that movements toward higher levels of civil liberty are associated with higher economic growth rates. Therefore, we find that civil liberties are a relevant factor to explain economic growth. We perform some sensitivity tests that confirm the robustness of our results.

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