ON TRENDS IN THE GAP BETWEEN RICH AND POOR IN LESS DEVELOPED COUNTRIES: WHY WE KNOW SO LITTLE

This paper considers the problems involved in measuring trends over time in inequality in less developed countries. After considering some of the conceptual problems involved in choosing a measure of economic welfare, the period it should cover, and the statistical units to which it should be applied, the paper goes on to draw up a list of minimum data requirements for reaching reliable conclusions about such trends. It concludes that in many countries the available information falls well short of the minimum list, and it explores various sources of indirect evidence on trends in distribution. The central argument is that the available data permit no easy tests for trends in the level of economic inequality in less developed countries. At present, the best bet is to complement evidence on income distribution with available data on consumption distribution and on wage trends and production aggregates by occupational and sectoral groups. Inconsistencies will highlight problem areas, and their reconciliation should provide a firmer foundation on which to draw conclusions about distributional trends.     

Inequality convergence

Evidence is found that within-country income inequalities have been slowly converging since the 1980s; inequality is tending to fall (rise) in countries with initially high (low) inequality. Correcting for classical measurement error in the initial inequality measures has little affect on the speed of convergence.     

Measuring Socio-Economic GENDER Inequality: Toward an Alternative to the UNDP Gender-Related Development Index

This paper assesses the United Nations Development Program’s (UNDP) Gender-Related Development Index (GDI). Although the GDI has increased attention on gender equality in human development, it suffers from several limitations. A major problem is that it conflates relative gender equality with absolute levels of human development and thus gives no information on comparative gender inequality among countries. Using the same indicators as the GDI, the paper constructs a Relative Status of Women (RSW) index, which demonstrates how using a measure of gender equality that abstracts from levels of development results in very different country rankings. However, the RSW is not an ideal measure of gender inequality. The GDI indicators are not the most appropriate ones for measuring gender inequality and hence both the RSW and the GDI have limited validity. The paper concludes by offering a conceptual framework that provides the basis for an alternative measure of gender inequality.     

Terrorism and spatial disparities: Does interregional inequality matter?

This article examines the relationship between interregional inequality and the incidence of domestic terrorism in a panel of 48 countries over the period 1990–2010. The results show that a high level of interregional inequality increases the number of domestic terror events in the sample countries. This finding is robust to the inclusion of additional explanatory variables that may affect both interregional inequality and domestic terrorism. Furthermore, the observed link between interregional inequality and terrorist activity does not depend on the choice of the specific measure used to quantify the degree of dispersion in the regional distribution of GDP per capita within the sample countries.     

Inequality in National Inter-Generational Transfers: Evidence from Colombia

Public transfers are designed with the idea of reducing poverty and inequality among specific population groups. The National Transfers Account methodology suggests the use of household head education (HHE) as a poverty proxy in the construction of profiles by socio-economic status. Considering the higher levels of inequality in developing countries, we construct and check inequality and intergenerational transfers using an alternative measure based on variables not endogenous to the underlying idea of intergenerational transfers: a Multidimensional Quality of Life Index (MQLI). We apply the methodology to a developing country, Colombia, and show that inequality and disparities in intergenerational transfers are best understood when using the MQLI.     

Inequality and economic growth: the role of initial income

We estimate a panel model where the relationship between inequality and GDP per capita growth depends on countries’ initial incomes. Estimates of the model show that the relationship between inequality and GDP per capita growth is significantly decreasing in countries’ initial incomes. Results from instrumental variables regressions show that in Low Income Countries transitional growth is boosted by greater income inequality. In High Income Countries inequality has a significant negative effect on transitional growth. For the median country in the world, that in the year 2015 had a PPP GDP per capita of around 10000USD, IV estimates predict that a 1 percentage point increase in the Gini coefficient decreases GDP per capita growth over a 5-year period by over 1 percentage point; the long-run effect on the level of GDP per capita is around ??5%.     

Growth, income distribution and well-being in transition countries

We apply several well-being measures that combine average income with a measure of inequality to international and intertemporal comparisons of well-being in transition countries. Our well-being measures drastically change the impression of levels and changes in well-being compared to a traditional reliance on income measures. Due to low inequality and moderate income levels, socialist countries enjoyed relatively high levels of economic well-being. In the transition process, rising inequality and falling incomes have led to a dramatic absolute decline in well-being and a considerable drop in relative well-being vis-à-vis non-transition countries. We also find a close correlation between income losses and inequality increases. While the transition has been successful in expanding political and civil rights, our indicators suggest that most transition countries are still below the level of economic well-being of the late 1980s.
JEL classification: D6, O15, P27.     

Financial development,control of corruption and income inequality

This paper examines the effect of financial development and control of corruption on income inequality in 21 Sub-Saharan African (SSA) countries over the period 1985–2011 using the pooled mean group (PMG) estimator. The empirical results show that financial development measures have positive impact on income inequality, which suggest that financial development increases income inequality. On the other hand, the coefficients of control of corruption are negative and significantly related to income inequality which implies that corruption control reduces income inequality. Further, the interaction of the financial development and the control of corruption is found to be negatively and significantly related to income inequality. Equally the interaction of the financial development and transparency index (an alternate measure of corruptibility) is found to be negatively and significantly related to income inequality. These findings suggest that the control of corruption and transparency in governance are crucial in reducing income inequality in SSA.     

Measuring Income Inequality in Euroland

In this paper we propose an aggregate measure of income inequality for the founding countries of the European Monetary Union. Applying the methodology of the Theil index we are able to derive a measure for Euroland as a whole by using complementary data from the European Community Household Panel and the Luxembourg Income Study. The property of additive decomposability allows us to determine each country's contribution as well as that of each demographic group to overall income inequality. In addition the impact of government transfers on this inequality measure is assessed.     

Why is Income Inequality Increasing in the Developed World?

We address empirically the factors affecting the dynamics of income inequality among industrialized economies. Using a panel for 32 developed countries spanning the last four decades, our results indicate that the predictions of the Stolper–Samuelson theorem concerning the effects of international trade on income inequality find support in the data if we concentrate on imports from developing countries as a trade measure, as theory would imply. We find that democratization, the interaction of technology and education, and changes in the relative power of labor unions affect inequality dynamics robustly.     

Income inequality and colonialism

This paper proposes that colonialism is a major explanation behind today's differences in income inequality across countries. We argue that income inequality has been higher in the colonies where the percentage of European settlers to total population was higher, as long as Europeans remained a minority. The countries where Europeans became the majority of the population did not suffer from high inequality. These initial differences continue to hold today. The empirical evidence we provide strongly supports our thesis.     

THE MEASUREMENT OF INEQUALITY OF OPPORTUNITY: THEORY AND AN APPLICATION TO LATIN AMERICA

Building on the existing literature, this paper constructs a simple scalar measure of inequality of opportunity and applies it to six Latin American countries. The measure—which captures between‐group inequality when groups are defined exclusively on the basis of predetermined circumstances—is shown to yield a lower‐bound estimate of true inequality of opportunity. Absolute and relative versions of the index are defined, and alternative parametric and non‐parametric methods are employed to generate robust estimates. In the application to Latin America, we find inequality of opportunity shares ranging from one quarter to one half of total consumption inequality. An opportunity‐deprivation profile that identifies the worst‐off types in each society is also formally defined, and described for the same six countries. In three of them, 100 percent of the opportunity‐deprived were found to be indigenous or Afro‐descendants.     

Unequal skill premiums and trade liberalization: Is education the missing link?

We examine the impact of increased trade on wage inequality in developing countries; whether higher human capital stocks moderate this effect. We find countries with a higher level of initial human capital experience less increased wage inequality following increased trade.     

Income Inequality and Technology Diffusion: Evidence from Developing Countries*

We study the effect of within‐country income inequality on the diffusion of mobile phones using data on market penetration in a sample of developing countries from 1985 to 1998. Mobile phones are an example of international technology, originating in industrialized countries and diffusing worldwide. We find that income inequality, as measured by the income share of the highest earning deciles, has a positive effect on the early diffusion of mobile phones and that the estimated effect becomes greater when a measure of agricultural endowments is used as an instrument. The instrumental variable results are robust to weak instruments. Our findings suggest that the diffusion of new technologies originating from industrialized countries may generate yet another channel that links inequality and development.     

ECONOMIC FREEDOM & HAPPINESS INEQUALITY: FRIENDS OR FOES?

This article examines the relationship between economic freedom and happiness inequality for a large sample of countries. We find that economic freedom is negatively associated with happiness inequality and robust to several alternative measures of happiness inequality, including the standard deviation, mean absolute difference, coefficient of variation, and Gini coefficient. Among the economic freedom areas, legal system and sound money are negatively correlated with happiness inequality. Drawing on the Engerman‐Sokoloff hypothesis, we use a measure of factor endowments as an instrument for economic freedom to provide a further robustness test, finding a negative association between economic freedom and happiness inequality. (JEL D63, I31, P16)     

On factor decomposition of cross-country income inequality: some extensions and qualifications

In a recent paper in this journal Duro and Esteban [Econom. Lett. 60 (1998) 269] have proposed a factor decomposition of the Theil [Economics and Information Theory, Amsterdam, North-Holland, 1967] index of inequality over per capita incomes into the (unweighted) sum of the inequality indexes of the factors in order to measure the contribution of each individual factor to the overall inequality. The purpose of this little note is to extend and qualify the meaning of such a decomposition, to show that the decomposition also holds for another Theil [Economics and Information Theory, Amsterdam, North-Holland, 1967], index of inequality and that both decompositions offer qualitatively the same general results about the contribution of the factors to aggregate inequality when applied to a particular data set, the OECD countries, although quantitative results differ.     

The Literature on Piketty

The extensive critical literature on Thomas Piketty’s Capital in the Twenty-First Century is surveyed under nine headings. The first deals with the conservative argument that inequality in the distribution of wealth does not matter, since a rising tide lifts all boats. Second, it is claimed that Piketty’s prediction of continuously increasing inequality and the return of ‘patrimonial capitalism’ is unjustified. Third, the quality of the empirical evidence that he cites is questioned, on a number of quite different grounds. Fourth, some critics object that Piketty’s explanation of long-run trends in the distribution of wealth is too general and too theoretical. Fifth is the argument that he has used the correct (neoclassical) theory incorrectly, exaggerating the elasticity of substitution of capital for labour. Against this, post-Keynesian critics claim, sixthly, that Piketty is using the wrong theory, and should have drawn on the Kaldor–Pasinetti model of distribution and growth, and not the discredited neoclassical analysis. Seventh, Piketty has been criticised for ignoring the distribution of wealth in developing countries. Eighth, there is a wide range of objections to his most striking policy proposal, for a progressive global wealth tax. Finally, several critics from outside economics complain that Piketty has neglected a number of non-economic dimensions of inequality. I conclude by welcoming both the book and the critical literature, and calling for the distribution of wealth to be placed back on the political agenda.     

Poverty decompositions with counterfactual income and inequality dynamics

Traditional poverty accounting decomposes changes in a country's poverty headcount ratio into changes in income and inequality. We argue that this approach is unsatisfactory from the perspective of policy analysis because it compares a country in two points of time without taking the country's initial situation, and hence its potential for poverty reduction, into account. We thus suggest comparing traditional poverty decompositions with a counterfactual situation. This counterfactual indicates what a country starting from its initial situation could be expected to achieve in terms of income, inequality, and, hence, poverty developments. We construct those counterfactuals by modeling income and inequality trends characterized by convergence and a “Kuznets” relationship between inequality and development. Parameters in those relationships are estimated using PovcalNet survey data from 144 countries and we construct our counterfactual poverty predictions for 71 developing countries. While there is overall a tight relationship between actual developments and counterfactuals, we identify several cases, where both deviate from each other and discuss the policy implications. We also check for commonalities in differently performing countries and find that those who fell particularly short of expectations often underwent political transition and state fragility.     

Inequality,poverty and development

Dicussion explores the nature of the relationship between the distribution of income and the process of development on the basis of cross country data on income inequality. The results presented are based on a sample of 60 countries, including 40 developing countries, 14 developed countries, and 6 socialist countries. The approach adopted is essentially exploratory. Multivariate regression analysis was used to estimate cross country relationships between the income shares of different percentile groups and selected variables reflecting aspects of the development process which are likely to influence income inequality. The estimated equations are then used as a basis for broad generalizations about the relationship between income distribution and development. There was strong support for the proposition that relative inequaltiy increases substantially in the early stages of development, with a reversal of this tendency in the later stages. The propositions held whether the sample was restricted to developing countries or expanded to include developed and socialist countries. The process was most prolonged for the poorest group. There were a number of processes occurring "pari passu" with development which were correlated with income inequality and which can plausibly be interpreted as causal. These were intersectoral shifts in the structure of production, expansion in education attainment and skill level of the labor force; and reduction in the growth of population. The operation of these processes appeared to explain some of the improvement in income distribution observed in the later stages of development, but they did not serve to explain the marked deterioration observed in the earlier stages. The cross section results failed to support the stronger hypothesis that the deterioration in relative inequality reflected a prolonged absolute impoverishment of large sections of the population in the course of development. The cross country pattern showed average absolute incomes of the lower percentile groups rising as per capita gross national product rises, although slower than for upper income groups. The cross section results failed to support the view that a faster rate of growth is systematically associated with higher inequality than can be expected given the state of development realized. An appendix identifies data sources and problems.     

Small business and entrepreneurship in the knowledge economy: A comparison of Australia and Sweden

Dominant explanations within the existing development literature for the differences in poverty levels around the world have tended to ignore the influence of international inequality on poverty, instead focusing solely on domestic factors. In this paper, I conduct a regression analysis of the effect of inequality between countries on world poverty between 1980 and 2007, employing a new structural measure of international inequality which is created using social network analysis to calculate countries' positions in international trade networks. Countries' infant mortality rates are used to measure poverty. The results of the empirical analysis provide cross-country evidence to demonstrate that structural inequalities in the international system have a significant impact on poverty around the world. As such, the analysis demonstrates the need to move beyond focusing exclusively on domestic attributes of developing countries towards considering the broader international political economy in analysing contemporary poverty.