Testing inequality of opportunities in Italy using the ANOVA framework

While the analysis of inequality has been central to economic studies for centuries, it was only in recent years that studies have concentrated on the distinction between inequality of opportunity and inequality of returns to effort and have attempted empirical estimates of the two components. The decomposition of a general inequality index into these two components allows to analyse the prevalence of fair or unfair income inequality within a country. This paper suggests to test the differences between the two sources of inequality in a simple way using the ANOVA framework adapted to decompose the coefficient of variation, to better suit the requirements of an inequality index. The proposed procedure is applied to the Italian Survey on Income and Living Condition (IT-SILC data, wave 2005 and 2011). The empirical results help identifying the circumstances that foster the rise of inequality of opportunities in Italy. Our analysis shows, in particular, that father education, region of residence and gender result as the most relevant circumstances determining inequality of opportunity. On the other side, the role of mother education starting from a lower level as an inequality of opportunity factor has increased its influence over time.     

The Impact of Inequality and Redistribution on Growth

In this paper, we reassess the impact of inequality on growth. The majority of previous papers have employed (system) GMM estimation. However, recent simulation studies indicate that the problems of GMM when using non‐stationary data such as GDP have been grossly underestimated in applied research. Concerning predetermined regressors such as inequality, GMM is outperformed by a simple least‐squares dummy variable estimator. Additionally, new data have recently become available that not only double the sample size compared to most previous studies, but also address the substantial measurement issues that have plagued past research. Using these new data and an LSDV estimator, we provide an analysis that both accounts for the conditions where inequality is beneficial or detrimental to growth and distinguishes between market‐driven inequality and redistribution. We show that there are situations where market inequality affects growth positively while redistribution is simultaneously beneficial.     

Taking down the wall: Transition and inequality

In this article, we investigate the main determinants of income inequality in the transition countries of Central and Eastern Europe and the Commonwealth of Independent States during the period 1990–2018. To this end, we address a major methodological challenge that lies at the core of the cross‐country literature on income inequality: the potential endogeneity of income per capita, which is largely ignored by most empirical studies. We adopt a two‐pronged empirical strategy by (1) using trading partners’ weighted average real GDP as an instrumental variable and (2) estimating the model via the two‐stage least squares approach for static models and the generalized method of moments estimator for dynamic models. Our empirical findings are consistent with the Kuznets curve that illustrates a nonlinear relationship between income inequality and the level of economic development. We also find that the redistributive impact of fiscal policy is statistically insignificant and taxation and government spending appear to have the opposing effects on income inequality in transition economies over the sample period.     

Wealth inequality,governance and economic growth

Links between economic growth and inequality are of growing interest for researchers and policy makers. Previous studies of this relationship have focused mainly on inequalities in income rather than in wealth. Yet from many perspectives wealth inequality is arguably more important. Using a new panel data set from Credit Suisse for 45 sample countries over the period 2000–2012, this study investigates the effects of wealth inequality on economic growth. Empirical results from system GMM estimation suggest that the wealth inequality is negatively associated with cross-country economic growth. This result is robust to alternative estimators and measures of wealth inequality, as well as the econometric specification. Further empirical investigation reveals that impact of wealth inequality on growth is mitigated by better governance.     

The Shape of the Income Distribution and Economic Growth – Evidence from Swedish Labor Market Regions

We analyze the association between income inequality and economic growth using 72 labor market regions in Sweden during the period of 1990–2006. Compared with studies of cross‐country data, the regional set‐up reduces problems with omitted variable bias and endogeneity as regions within a country share the same redistributive policies and institutions. Using population register data, highly accurate measures of growth and inequality (gini, Q3, p9075, p5010) are derived. OLS cross‐section and panel estimates imply that inequality between the 90 and 75th percentiles enhances regional growth and that the share of income falling to the third quintile reduces growth. These results no longer hold when we apply regions specific fixed effects and/or system GMM.     

LIFE SATISFACTION AND INCOME INEQUALITY

Do people care about income inequality and does income inequality affect subjective well‐being? Welfare theories can predict either a positive or a negative impact of income inequality on subjective well‐being and empirical research has found evidence of a positive, negative, or non‐significant relation. This paper attempts to determine some of the possible causes of such empirical heterogeneity. Using a very large sample of world citizens we test the consistency of the effect of income inequality in predicting life satisfaction. We find that income inequality has a negative and significant effect on life satisfaction. This result is robust to changes of regressors and estimation choices and also persists across different income groups and across different types of countries. However, this relation is easily obscured or reversed by multicollinearity generated by the use of country and year fixed effects. This is particularly true if the number of data points for inequality is small, which is a common feature of cross‐country or longitudinal studies.     

Testing the Bhaduri–Marglin model with OECD panel data

The Bhaduri–Marglin model is a post-Kaleckian model that allows one to study the impact of a functional income distribution on the growth in demand. Over recent years, a number of empirical studies based on this model have aimed at determining whether a redistribution towards profits harms or fosters demand growth. The focus so far has been on a very limited number of countries. This paper is the first to test the Bhaduri–Marglin model with panel data. It finds that demand growth is reduced by a redistribution towards profits in the average OECD country. Productivity growth is also impaired.     

收入不平等与经济增长：移动的库兹涅茨曲线*——新时期收入分配改革的思路与意义

准确判断收入不平等对经济增长的影响，对于客观评价中国各个阶段的收入分配制度改革尤为重要。本文在统一增长理论的框架下引入收入不平等因素，构建了一个人口数量、不平等和经济增长同时内生的理论模型，并利用CGSS数据构造收入不平等指标，使用中国省际非平衡面板数据进行经验检验。研究发现：收入不平等与经济增长之间呈现倒U型关系。更重要的是，随着经济发展水平的提高，倒U型曲线将逐渐向左移动，即最优的收入不平等程度随着经济发展水平的提高而逐渐降低。这一发现意味着改革开放以来，中国各个时期的收入分配制度改革均是在特定历史条件下的最优选择。本文的结论具有深刻的政策含义：为了提高经济增长率，需要进一步巩固“脱贫攻坚”成果，逐渐加大收入分配调节力度，使收入分配制度改革紧跟经济发展的步伐，根据经济发展水平不断缩小收入不平等程度。     

Financial development and economic growth: long‐run equilibrium and transitional dynamics

We analyze the impact of financial development on economic growth. Differently from previous studies that focus mainly on balanced growth path outcomes, we also analyze the transitional dynamics of our model economy by using a finance‐extended Uzawa–Lucas framework where financial intermediation affects both human and physical capital accumulation. We show that, under certain rather general conditions, economic growth may turn out to be non‐monotonically related to financial development (as suggested by the most recent empirical evidence) and that too much finance may be detrimental to growth. We also show that the degree of financial development may affect the speed of convergence, which suggests that finance may play a crucial role in determining the length of the recovery process associated with exogenous shocks. Moreover, in a special case of the model, we observe that, under a realistic set of parameters, social welfare decreases with financial development, meaning that even when finance positively affects economic growth the short‐term costs associated with financial activities more than compensate their long‐run benefits.     

Microfinance and income inequality: New macrolevel evidence

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.     

How Do Digital Technologies Drive Economic Growth?

This paper seeks to provide new empirical evidence that demonstrates the importance of digital technologies in promoting economic growth, drawing on the literature on advances in growth and leveraging a broader and more robust country‐level panel dataset. In particular, this paper estimates the long‐run economic impact of digital technologies using mobile phone penetration and internet usage as broad indicators. The empirical results suggest that, between 2004 and 2014, the diffusion of digital technologies significantly improved economic output in Australia and abroad, contributing to steady‐state gross domestic product per capita growth of approximately 5.8 per cent on average. These findings could serve as the starting‐point for predictions about the likely impact of future technologies, providing a better understanding for policy‐makers in prioritising initiatives that will continue to lift living standards in the coming years.     

Inequality at Low Levels of Aggregation in Chile

Despite success in poverty reduction, inequality in Chile has remained virtually unchanged over the last 20 years. High levels of inequality have been shown to hamper further reductions in poverty as well as economic growth, and local inequality has been shown to affect such outcomes as violence and health. The study of inequality at the local level is thus crucial for understanding the economic wellbeing of a country. Local measures of inequality have been difficult to obtain, but recent theoretical advances have enabled the combination of survey and census data to generate estimates of inequality that are robust at disaggregated geographic levels. We employ this methodology to produce consistent and precise estimates of inequality for every county in Chile. We find considerable heterogeneity in county‐level estimates of inequality, with Gini coefficients ranging from 0.41 to 0.64.     

股市发展与收入分配不平等

股市发展与收入分配状况的关系是金融理论界和业界广泛关注的问题之一。本文构造全球33个国家从1988年至2013年有关股市发展和收入分配不平等的面板数据,实证研究各国股市发展及自由化改革对其收入分配不平等程度的影响及内在机理。研究发现：首先,一国股市规模越大,由于门槛效应的存在,其收入分配状况趋于恶化,而流动性的提升将在一定程度上改善其收入分配状况。其次,一国股市的发展对不同收入阶层存在不同的影响。最后,股市自由化前后,股市对收入分配状况的影响存在显著差异：股市自由化之后,股市规模的扩大和股市流动性的提升将在一定程度上改善收入分配状况。     

What drives inequality and poverty in the EU? Exploring the impact of macroeconomic and institutional factors

Employing panel data techniques, we investigate the macroeconomic and institutional determinants of inequality and poverty in the EU over the period 1994–2008. We pay particular attention to the effects of macroeconomic environment, social protection and labour market institutions. The empirical analysis shows that the social transfers in cash, and principally the transfers that do not include pensions, exert a prominent impact on inequality and poverty. Also significant is the effect of the GDP per capita. The impact of employment on inequality and poverty is not empirically sound. The same holds for the labour market institutions; an exception is the union density, which appears conducive to a less dispersed personal income distribution. Importantly, the results support the view that the social protection system acts as a catalyst in determining the effectiveness of social spending and the distributive role of economic growth and employment.     

Economic Integration,Growth and Income Distribution

This paper constructs a two‐sector growth model with heterogeneous labour, to explore the impact of the economic integration on growth and income distribution. There are two sectors in each country, including the consumption‐good sector and the R&D sector. We suppose that the R&D sector produces new blueprints or ideas for these innovations, and hence provides the engine of growth. Assume that the talent's distribution of workers is the uniform distribution. We show that the economic integration will stimulate the developing countries' economic growth and then decrease its income inequality. In addition, we also demonstrate that if the growth rate of the advanced country rises after the integration, then income inequality of that will increase, and vice versa.     

Aging and inequality: The link and transmission mechanisms

There exists a shortage of rigorous empirical analyses that focus on the aging‐to‐inequality transmission mechanisms although both developed and some developing countries have been confronted with the challenge of population aging. Using cross‐country panel data covering the period of 1975 to 2015, this paper contributes to the literature by directly modeling the relationship between aging and inequality and exploring the transmission mechanisms. Our estimation results show that (1) Aging worsens income distribution; (2) This adverse impact is attributable to its negative correlation with the share of labor income that in general is more equally distributed than capital income; (3) The labor share‐reducing effect of aging can be further attributed to the significant and negative impact of aging on both labor input or supply and wage or labor productivity; and (4) Our findings are robust to changes in model specifications, use of different indicators of aging, different inequality and labor share data sources.     

Growth effects of public expenditure on the state and local level: evidence from a sample of rich governments

There is a vast empirical literature investigating the relationship between government size and economic growth. But the empirical evidence of growth effects of public expenditure using cross-country regressions is still inconclusive. According to a number of authors this is not surprising since the negative relationship only applies for rich countries with a large public sector. Restricting their analysis on rich countries only they can show the predicted negative impact. Naturally, a selection of a sub-sample of rich countries is always somewhat arbitrary. Another possibility is to concentrate on governments within a rich country. However, only few studies investigate the effect of state and local spending on economic growth. This study concentrates on the relationship between public expenditure and economic growth within a rich country using the full sample of state and local governments from Switzerland over the 1981–2001 period. The general finding is a fairly robust negative relationship between government size and economic growth. However, in contrast to public spending from operating budgets there is no significant impact on economic growth by expenditure from capital budgets.     

The eye of the beholder. Reconsidering the notions of pro‐poor growth and progressivity,with an application to Vietnam

Both policymakers and economists have tried to find criteria to assess whether economic growth is pro‐poor. In this paper we reconsider the inequality‐oriented approach originally proposed by Jenkins and Van Kerm. They look at the changes in the whole income distribution, and decompose the change in income inequality, measured by the Gini coefficient, into a progressivity and a reranking component. They define a pro‐poor (or progressive) change as one where the changes in income are more to the benefit of those who are initially poor than to the benefit of those who are initially rich. We challenge this assumption, and maintain that also the point of view of the finally poor and the finally rich should be taken into account when evaluating whether growth is pro‐poor. We suggest a new decomposition method, based on an inequality index of the generalized entropy family, which allows the change in income inequality to be decomposed exactly into a forward‐looking and a backward‐looking progressivity component. Our empirical illustration, using data from household surveys in Vietnam, shows that economic growth in Vietnam has been pro‐poor from a forward‐looking perspective, but not from a backward‐looking perspective.     

INCOME INEQUALITY WITHIN EUROPEAN REGIONS: DETERMINANTS AND EFFECTS ON GROWTH

Economic inequality across Europe has been largely investigated by analyzing the determinants and dynamics of the disparities between countries and regions. Similarly, many studies have focused on inequality within European countries. So far, less attention has been devoted to economic inequality within European regions, mainly due to data shortages. The aim of this paper is to shed some light on this level of analysis. After the introductory section, the first part of the paper presents the conceptual bases of the study, examining relevant theoretical and empirical arguments about (i) the determinants of economic inequality, (ii) the relationship between economic inequality and growth, and (iii) the desirability and specificity of regional analysis. The second part of the paper, using various econometric approaches, provides evidence of the centrality of labor market qualitative and quantitative aspects and of some country-level institutional settings for regional inequality levels. As regards the effects of inequality on growth, the results suggest a positive relationship.     

收入不平等对中国经济增长的影响

使用21个省市的面板数据,对收入分配总体不平等进行分解,实证检验农村不平等、城市不平等以及城乡间不平等对经济增长的影响。研究发现:农村不平等程度越高,对经济增长的抑制作用越大;城市不平等对经济增长没有显著的影响;城乡间不平等与经济增长之间存在负相关关系。农村不平等、城乡间不平等与城市不平等相比,前两者在解释人均产出增长时发挥了更重要的作用。