The impact of financial development,economic growth,income inequality on poverty: evidence from India

This paper examines the impact of financial development, economic growth and income inequality on poverty in India from 1970 to 2015 by employing the autoregressive distributed lag (ARDL) bounds testing procedure. The findings reveal a robust long-run relationship between financial development, economic growth, inequality and poverty. Results show that financial development and economic growth help in poverty reduction in India, whereas income inequality and inflation aggravate poverty. Empirical evidence of the Granger-causality test supports the presence of unidirectional causality from financial development and economic growth to poverty. Moreover, bidirectional causality exists between inequality and poverty. The present study provides evidence on which the policymakers may proceed with detailed investigation of how specific financial sector policies and interventions can be deployed as effective instruments for achieving favorable economic growth and income distribution. The study recommends that policies geared toward increasing financial development and economic growth should be adopted to reduce the high level of poverty and inequality currently prevailing in India.     

The Distributional Incidence of Growth: A Social Welfare Approach

This paper provides a normative framework for the assessment of the distributional incidence of growth. By removing the anonymity axiom, such framework is able to evaluate the individual income changes over time and the reshuffling of individuals along the income distribution that are determined by the pattern of income growth. We adopt a rank dependent social welfare function expressed in terms of initial rank and individual income change and we obtain partial and complete dominance conditions over different growth paths. These dominance conditions account for the different components determining the overall impact of growth, that is the size of growth and its vertical and horizontal incidence. We then provide an empirical application for Italy: this analysis shows the distributional impact of the recent economic crisis suffered by the Italian populaltion.     

ESTIMATING INCOME INEQUALITY IN CHINA USING GROUPED DATA AND THE GENERALIZED BETA DISTRIBUTION

There are two main types of data sources of income distributions in China: household survey data and grouped data. Household survey data are typically available for isolated years and individual provinces. In comparison, aggregate or grouped data are typically available more frequently and usually have national coverage. In principle, grouped data allow investigation of the change of inequality over longer, continuous periods of time, and the identification of patterns of inequality across broader regions. Nevertheless, a major limitation of grouped data is that only mean (average) income and income shares of quintile or decile groups of the population are reported. Directly using grouped data reported in this format is equivalent to assuming that all individuals in a quintile or decile group have the same income. This potentially distorts the estimate of inequality within each region. The aim of this paper is to apply an improved econometric method designed to use grouped data to study income inequality in China. A generalized beta distribution is employed to model income inequality in China at various levels and periods of time. The generalized beta distribution is more general and flexible than the lognormal distribution that has been used in past research, and also relaxes the assumption of a uniform distribution of income within quintile and decile groups of populations. The paper studies the nature and extent of inequality in rural and urban China over the period 1978 to 2002. Income inequality in the whole of China is then modeled using a mixture of province-specific distributions. The estimated results are used to study the trends in national inequality, and to discuss the empirical findings in the light of economic reforms, regional policies, and globalization of the Chinese economy.     

Distributional national accounts for the Netherlands and a comparison with 12 other countries

Most inequality studies rely on micro data that do not capture a substantial share of income identified in the national accounts. In the Netherlands, almost one fifth of household disposable income is missed by current inequality statistics. In this paper, we present inequality statistics for the Netherlands that capture all of household income, so-called distributional national accounts. Compared to the current inequality statistics, the Gini coefficient for disposable income increases substantially from 0.289 to 0.337. Cross-country comparisons show that such a change between Gini coefficients based on micro-data versus Gini coefficients based on distributional national accounts does not apply to all countries. The difference between both Gini coefficients varies not only between countries in the size, but also in the sign of the difference.     

Redistributive taxation,wealth distribution,and economic growth

This paper examines the relationship between wealth distribution and economic growth in an endogenous growth model with heterogeneous households and redistributive taxation. In this paper, we incorporate an endogenous determination of redistributive policy into the model, focusing on the relation between pre- and post-tax inequality. Endogenous redistributive policy affects wealth distribution and economic growth. Therefore, the relation between post-tax inequality and economic growth is different from that between pre-tax inequality and economic growth. Results show that there exists a negative correlation between pre-tax inequality and economic growth, whereas there exists an inverted-U relationship between post-tax inequality and economic growth in a voting equilibrium.     

Work values,endogenous sentiments redistribution

We examine the interactions between individual behavior, sentiments and the social contract in a model of rational voting over redistribution. Agents have moral “work values”. Individuals' self-esteem and social consideration of others are endogenously determined comparing behaviors to moral standards. Attitudes toward redistribution depend on self-interest and social preferences. We characterize the politico-economic equilibria in which sentiments, labor supply and redistribution are determined simultaneously. The equilibria feature different degrees of “social cohesion” and redistribution depending on pre-tax income inequality. In clustered equilibria the poor are held partly responsible for their low income since they work less than the moral standard and hence redistribution is low. The paper proposes a novel explanation for the emergence of different sentiments and social contracts across countries. The predictions appear broadly in line with well-documented differences between the United States and Europe.     

Income Distribution and Redistribution

Abstract:

It seems that some observable structural trends in recent decades such as globalization, skills-biased technological advances and level of unionization all over the world have been affected by income distribution, in addition to other economic variables. The latest trends in the 2000s exhibited a widening gap between the rich and the poor not only in some of the already high inequality countries, but also in traditionally low inequality countries. In order to mitigate inequality, many countries have followed redistribution policies (taxes and transfers). In this article, we will mainly focus on the effects of redistribution policies consisting of income taxes and social transfers on income inequality using the micro data in Turkey. Additionally, since financial crises have been becoming more important with increasing frequency of crises all over the world, we also search for the effects of crises on inequality and the degree of mitigation of redistributive policies, especially during the Global Recession.     

存在收入差异的社会保障制度选择--基于一个内生增长世代交替模型

社会保障制度选择是经济协调发展中的重要课题.本文建立了一个考虑存在收入差距的异质性个体的内生增长世代交替模型,综合考察了社会保障制度选择对经济增长和收入再分配的影响.分析表明,现收现付制对稳定状态的经济增长率有负面影响,但其收入再分配功能对提高社会总福利存在正向作用,通过数值模拟发现当收入差距较小时,现收现付制对经济增长的抑制作用较强,随着收入差距的拉大,收入再分配功能将逐渐居于主导地位,其综合效应可以改善社会福利.在一定的收入差异程度范围内,存在一个使社会福利最大化的最优现收现付制比率.基于对中国实际的分析,本文认为我国未来的社会保障制度改革应该注重发挥现收现付制的再分配功能.     

POLICY UNCERTAINTY,ELECTORAL SECURITIES,AND REDISTRIBUTION*

This article investigates how uncertainty about the adoption of a redistribution policy affects political support for redistribution when individuals can trade policy‐contingent securities in the stock market. In equilibrium the support for redistribution is smaller than where no “policy‐insurance market” is available. This implies that in economies with well‐developed financial markets redistribution decreases with the level of participation in these markets and with income inequality. Furthermore, the existence of a policy‐insurance market may lead to a less equal distribution of income than where no insurance is available even if a majority of individuals are redistributing resources through private transfers.     

Global distribution and dynamics of economic freedom: Non-parametric approach

The paper exploits the distributional dynamics and structural changes in the endogenous distribution of economic freedom across countries over time by utilizing the Rosenblatt–Parzen Kernel density estimator compared to the original distribution based on the methodology proposed by the Heritage Foundation. We utilize the distribution of economic freedom as a tool to identify which policies enhanced the overall level of economic freedom. We develop the distribution of endogenous economic freedom by decomposing effects of economic freedom on the level of income per capita in IV–2SLS estimation framework for a panel of 134 countries to identify the effect of institutions of economic freedom on the level of per capita income. Structural estimates indicate that improvements in the monetary, fiscal, and labor freedom exert the strongest direct effect on the level of economic freedom and indirect effect on the level of real income per capita. Our study demonstrates considerable differences between the original and endogenous distributional dynamics of economic freedom over time. In exploiting the non-parametric setting of endogenous economic freedom, we identify a recent emergence of twin-peak distribution across countries where developing nations have improved the level of economic freedom considerably compared to the initial year.     

Finance,income inequality and income redistribution

Using a panel fixed effects model for a large sample of countries covering 1975–2005, we test the hypothesis that income inequality caused by finance (financial development, financial liberalization and banking crises) is related to more income redistribution than inequality caused by other factors. Our results provide evidence in support of this hypothesis. We also find that the impact of inequality on redistribution is conditioned by ethno-linguistic fractionalization. Our findings are robust to the inclusion of several control variables suggested by previous studies.     

Redistribution,inequality, and growth: new evidence

We investigate the relationship between inequality, redistribution, and growth using a recently-compiled dataset that distinguishes clearly between market (pre-tax and transfer) and net (post tax and transfer) inequality, and allows us to calculate redistributive transfers for a large number of advanced and developing countries. Across a variety of estimation methods, data samples, and robustness checks, we find: (1) lower net inequality is robustly correlated with faster and more durable growth, controlling for the level of redistribution; (2) redistribution appears benign in terms of its impact on growth, except when it is extensive; and (3) inequality seems to affect growth through human capital accumulation and fertility channels.     

Inequality Stagnation in Latin America in the Aftermath of the Global Financial Crisis

Between 2003 and 2010, Latin America experienced a solid record of economic growth, coupled with a notable reduction in income inequality. The regional Gini coefficient fell from 0.556 to 0.521 and declined in all 15 out of 17 countries in which frequent data are available. However, previous studies have warned about problems in the sustainability of the decline in income inequality and this study presents evidence of stagnation on this front between 2010 and 2013. The results are robust to various measures of income inequality, but differ across the region. While largely attributable to the recovery from the global financial crisis in Mexico and some countries in Central America, the results are also supported by the demonstrated slowdown in inequality reduction in other countries, including Brazil, Ecuador and Bolivia.     

Income inequality and credit expansion in post-communist countries

There is an on-going debate on the antecedents and consequences of income inequality. Recent studies find that income inequality was a cause of the recent financial crisis. However, the findings on the inequality–indebtedness relationship are mixed and based on analyses of developed countries. The aim of this research is to test how income inequality influences borrowing in post-communist countries, whose financial markets are not very developed, which has important implications for income inequality. Therefore, we include financial system development in the analysis. We base our analysis on state-level panel data and find that income inequality will increase indebtedness in the private sector. However, these results are model and region specific. To preclude higher income inequality and the emergence of a financial crisis, policies should be directed towards improving the role of financial intermediaries and stock markets.     

Policy,Demography, and Market Income Volatility: What Shaped Income Distribution and Inequality in Australia Between 2002 and 2016?

Isolating the impact of policy, demographic shifts, and market volatility on changes in income inequality is of great interest to policymakers. However, such estimation can be difficult due to the complex interactions and evolutions in the social and economic environment. Through an extended decomposition framework, this paper estimates the effect of four main components (policy, demography, market income and other factors) on the year-over-year changes in income inequality in Australia between 2002 and 2016. This was a period marked by substantial policy, population, and economic shifts due to factors such as the mining boom, the global financial crisis and increasing immigration. The framework also incorporates a flexible non-parametric market income model which captures demand-side shock better than a standard parametric model. Our results suggest that market income was the primary driver of income inequality for all segments of the income distribution in Australia over the past 15 years. Policy factors, moreover, have had the largest net impact on reducing inequality overall, especially for lower income earners.     

INEQUALITY, REDISTRIBUTION, AND RENT-SEEKING

This paper presents a non-median voter model of redistribution in which greater inequality leads to lower redistribution. Bargaining between interest groups and politicians over exemptions implies that individuals with sufficiently high income will not pay taxes in equilibrium. Therefore, voters will set tax rates low enough so as to control the incentives for rent-seeking. An increase in inequality, by putting more income in the hands of individuals that can buy exemptions, will lead to lower equilibrium redistribution. The model can be used to account for a negative relationship between inequality and growth and provides a new explanation of why the poor do not expropriate the rich in democracies.     

Assessing the impacts of EU's common agricultural policy on regional convergence: sub-national evidence from Germany

This article assesses the relationship between transfers arising from EU's Common Agricultural Policy (CAP) and convergence in both farmers’ revenues and interpersonal income redistribution using a sample of 26 regions in the state of Hesse, Germany, over the period 1979 to 2004 and 1991 to 2004, respectively. We thereby combine the concept of sigma convergence with Shorrock's inequality decomposition in order to determine the driving forces in distributional dynamics of farmers’ revenues. Additionally, we apply alternative methodologies to investigate how per capita incomes have evolved over time. Explicitly comparing the situations with and without transfers, our results indicate that the CAP tends to smooth differences in farmers’ revenues across regions, but does not impede a strong divergence through time. The latter is mainly driven by increasing structural differences between the regions, while disparities in intensity turn out to be less important. The empirical analysis also shows that CAP transfers reduce income inequality within society as a whole. However, this impact proved to be negligible in explaining distributional dynamics and growth of per capita incomes.     

FINANCE,DISTRIBUTION AND THE ECONOMIC OBJECTIVE OF FINANCIAL COOPERATIVE INSTITUTIONS

This paper proposes a model where the structure rather than the size of the financial sector explains its influence on income distribution. Because of information asymmetries, a financial sector dominated solely by profit‐maximizing financial intermediaries will increase income and wealth inequality as it gives preferential access to credit for high‐income agents, whereas a diversified inclusive financial sector with alternative models of finance, like cooperatives, will reduce the inequality gap. No full convergence in income distribution can be realized through finance only and there is still a need for redistribution policies. Accordingly, an objective function for cooperative financial institutions should define a desired pricing behaviour that can increase the income of members at a rate higher than the average growth rate of the economy.     

INCOME DISTRIBUTION STATISTICS IN LATIN AMERICA AND THEIR RELIABILITY

This paper is addressed to the question of how far income distribution statistics currently available in Latin America can be relied upon, either to assess the degree of inequality in the national distribution of income or to undertake comparisons between countries or over time. It gives a summary account of research carried out on Latin American data.
The sources available in Latin America for estimating income distributions are discussed. Concentrating the attention on household surveys conducted in various Latin American countries, an inventory of such surveys and their characteristics is offered, along with a detailed exposition of survey methods and income concepts used for estimating household income. Methods used for assessing the representativeness of samples are summarily reviewed. The case for comparing income data from household surveys and population censuses with national accounts estimates is put forward, along with the procedures and assumptions used for carrying out such comparisons. The relative discrepancy between the two sources is taken as indicative of the degree of underestimation of each type of income in each survey. An analysis of such discrepancies across the set of surveys considered gives clues on possible underestimation biases in measuring each type of income and total household income in different types of survey and in population censuses.
Differential effects on comparability of survey results call for appropriate methods of adjusting income distribution estimates to account for the missing incomes. A method for carrying out such an adjustment is applied to income distributions from a selected number of Latin American surveys. The results obtained provide an indication of how much difference it makes to use unadjusted or adjusted data to assess income concentration or to carry out comparisons over time or space.     

Does income inequality hinder economic growth? New evidence using Australian taxation statistics

Using taxation statistics, we first derive consistently defined Gini coefficients for the period 1942–2013 for Australia as a whole as well as its eight states and territories. While income inequality exhibited a downward trend until 1979, it has since been on the rise not only over time, but also across states and territories. We then proceed to examine the effect of inequality on economic growth after controlling for changes arising from investment in physical and human capital using available panel data across all states and territories (1986–2013). We find that inequality adversely affects economic growth with a couple of years delay, an outcome consistent with similar studies undertaken in the United States and Europe. Our findings suggest that policymakers can address rising income inequality by implementing measures that support, and enhance, human capital accumulation given its long-run economic and social benefits.