Rent-seeking bureaucracies, inequality, and growth

This paper develops a Schumpeterian growth model in which institutional quality matters for inequality and growth. In particular, asymmetric information between political authorities and rent-seeking bureaucratic agencies diverts resources from innovative activities – crucial for development to take off in middle and low income countries – and unnecessarily exacerbates income inequality. The theoretical predictions not only match empirical facts on inequality, institutional quality and growth well documented in the literature, but are easily assessed in two groups of Latin American and African countries, as shown in the final calibration analysis.     

Inequality and growth: What comes from the different inequality measures?

The objective of the paper is to verify if income inequality impedes the growth rates in OECD countries in the period of 1990–2014 and to reveal whether the choice of the income inequality measure determines the sign and the strength of the estimated relationship. We use system GMM to estimate parameters of a dynamic panel growth model. The research indicates that income inequality negatively affects economic growth. We also find evidence that various measures of inequality bring the different scale of consequences for economic growth, with measures that give more weight to the middle part of the distribution being the weakest predictor of GDP growth. Simultaneously, we present the test of weak instruments, which helps to explain these differences.     

Africa is on time

We present evidence that the recent African growth renaissance has reached Africa’s poor. Using survey data on African income distributions and national accounts GDP, we estimate income distributions, poverty rates, and inequality indices for African countries for the period 1990–2011. We show that: (1) African poverty is falling rapidly; (2) the African countries for which good inequality data exists are set to reach the Millennium Development Goal (MDG) poverty target on time. The entire continent except for the Democratic Republic of Congo (DRC) will reach the MDG in 2014, one year in advance, and adding the DRC will delay the MDG until 2018; (3) the growth spurt that began in 1995, if anything, decreased African income inequality instead of increasing it; (4) African poverty reduction is remarkably general: it cannot be explained by a large country, or even by a single set of countries possessing some beneficial geographical or historical characteristic. All classes of countries, including those with disadvantageous geography and history, experience reductions in poverty. In particular, poverty fell for both landlocked as well as coastal countries; for mineral-rich as well as mineral-poor countries; for countries with favorable or with unfavorable agriculture; for countries regardless of colonial origin; and for countries with below- or above-median slave exports per capita during the African slave trade.     

On the impact of innovation and inequality in economic growth

We present robust results on the empirical relationship among income inequality, innovation, and economic growth for a panel dataset of 74 countries over the period 1996–2014. We estimate pairwise causality tests to show that there is bidirectional causality between GDP per capita and R&D, while R&D causes the Gini index of income inequality, and it causes human capital. Allowing coefficients to be different across cross-sections of countries, we get in any case a pairwise bi-directionality. By dynamic panel data estimations, when regressing R&D on GDP per capita, we obtain a threshold value of 0.16% of R&D such that for values above it there is economic growth. While regressing R&D on the Gini index, we get a threshold of 0.10% of R&D above which, the income distribution begins to improve. Finally, we estimate a growth equation that depends on R&D, income inequality, and physical capital. We obtain two thresholds, one of 38.79 for the Gini (above which the economic growth decreases), and one of 0.06% for R&D such that above it, economic growth is rising.     

ICT and income inequality: a cross-national perspective

The importance of information and communications technology (ICT) for economic growth and development is widely researched and seemingly well understood, but the effect of such investments on income inequality is less well documented. On the one hand, improvements in infrastructure are expected to expand economic opportunities for previously underserved populations. On the other hand, ICT growth may exacerbate inequality due to differential access and skill premiums. We use panel data from 109 countries during the period 2001–2014 to examine the empirical connection between ICT and income inequality in a cross-national context. Our results suggest that the effect of ICT on income inequality depends both on the specific type of ICT and on the measure of income inequality. In addition, the magnitude of ICT’s effect on income inequality is comparable to that of more traditional forms of economic infrastructure. Finally, we find that the association between ICT and income inequality is conditional on other economic and political characteristics.     

Wealth inequality,democracy and economic freedom

Using a novel panel data set from the Credit Suisse on the top wealth shares for 46 sample countries spanning 2000–2014, this paper empirically investigates to what extent wealth inequality influences economic freedom and whether this relationship is affected by the level of democracy. Economic freedom is measured by the Fraser Institute's economic freedom summary index as well as its five major sub-indices, such as government size, property rights, access to sound money, freedom to trade, and regulations. Wealth inequality is measured by the top wealth shares. Trade union density is used as an instrument for wealth inequality. Empirical results suggest that the rising wealth inequality significantly hampers overall economic freedom, property rights protection, freedom to trade, soundness of money and regulatory environment. Furthermore, this negative effect of wealth inequality is reinforced at a lower level of democracy. These findings are robust to alternative measures of wealth inequality, economic freedom, treatment for endogeneity, and model specification.     

Empirical evidence on the two-gap hypothesis: A revised analysis

This paper reconsiders the problem, analyzed by Weisskopf (1972a), of empirically classifying a set of low-income countries as having had their growth performance primarily constrained by the availability of foreign exchange or of domestic savings. Ambiguities in Weisskopf's procedure are noted, and an alternative, based on the extension of classical likelihood-ratio methods to the case of regression parameters subject to linear inequality constraints, is suggested. Reclassifying a subset of countries from Weisskopf's sample, we find stronger evidence against the importance of an independent foreign exchange constraint than indicated by Weisskopf's original results.     

Extremal Economic (Inter)Dependence Studies: A Case of the Eastern European Countries

This paper considers the application of copula models to study the shifts in extremal economic dependence of the Eastern European countries, i.e., Ukraine and its neighbouring countries, from 1969 to 2014. Extremal economic dependence is analysed in terms of poverty and affluence and with regard to growth rate. This paper contributes to the previous literature by applying the copula approaches to derive the measurements of the economic interdependence in terms of poverty and affluence. The received results depict the pattern of the (inter)dependence and its evolution across the analysed countries. Dependence on other countries in the extreme values can potentially be useful in adjustments of the economic policy of a country to minimize poverty and prevent high inequality.

     

Democracy and growth

Growth and democracy (subjective indexes of political freedom) are analyzed for a panel of about 100 countries from 1960 to 1990. The favorable effects on growth include maintenance of the rule of law, free markets, small government consumption, and high human capital. Once these kinds of variables and the initial level of real per capita GDP are held constant, the overall effect of democracy on growth is weakly negative. There is a suggestion of a nonlinear relationship in which more democracy enhances growth at low levels of political freedom but depresses growth when a moderate level of freedom has already been attained. Improvements in the standard of living—measured by GDP, health status, and education—substantially raise the probability that political freedoms will grow. These results allow for predictions about which countries will become more or less democratic over time.     

Credit constraints,inequality and the growth gains from trade

This paper tests the hypothesis that, in the presence of credit constraints, higher wealth inequality affects negatively the growth gains from trade liberalisation. Variations in the growth rate of value added–decomposed in the growth rate of the number of establishments and the growth rate in average size–of manufacturing industries in 34 developing countries before and after trade liberalisation are used to study the effects of inequality on the difference in growth under liberalised and nonliberalised regimes. The results show that the number of firms in industries with high dependence on external finance in countries with higher inequality grow significantly slower, in both statistical and economic terms, than in industries with low dependence on external finance in countries with lower inequality following a trade liberalisation relative to the closed-economy period.