Multi‐asset Deprivation and Pro‐poor Growth in Cameroon

This article analyzes pro‐poor growth of multiple dimensions of household well‐being by sector of activity in Cameroon. It uses (1) a polychoric principal component analysis to construct indicators of household asset endowments, (2) the growth incidence curve to analyze the pro‐poorness of the different assets, and (3) a Shapley value framework decomposition to account for changes in deprivation in terms of within‐sector growth and changes in within‐sector inequality. Data is sourced from the second and third Cameroon household consumption surveys. Results show that: (a) pro‐poor growth is not observed for all assets and households at the bottom of the distribution of the different assets experienced an increase in inequality; (b) for all asset endowments, overall deprivation worsened between 2001 and 2007; (c) whereas the growth component mitigated the worsening incidence, depth and severity of human asset deprivation, both growth and redistribution components accounted for the worsening physical, financial and social asset deprivations; (d) while the tertiary sectors of activity benefited some human asset poverty reduction, all sectors suffered from worsening financial and social asset deprivation. These results have implications for promoting growth and improving the allocation of household assets.     

Accounting for Cross‐Country Differences in Wealth Inequality

There is considerable cross‐country variation in levels of household wealth and in wealth inequality. This paper assesses the extent to which these differences can be accounted for by differences in the distributions of households' demographic and economic characteristics. A counterfactual decomposition analysis of micro data from five countries (Italy, U.K., U.S., Sweden and Finland) is used to identify the effects of characteristics on component wealth holdings, their value and their distribution. The findings of the paper suggest that the biggest share of cross‐country differences is not attributable to the distribution of household demographic and economic characteristics but rather reflect strong unexplained country effects.     

Factor Components of Inequality: A Cross‐Country Study

This paper uses data from the Luxembourg Income Study to examine some of the forces that have driven changes in household income inequality over the last three decades of the twentieth century. We decompose inequality for six countries (Canada, Germany, Norway, Sweden, the U.K., and the U.S.) into the three sources of market income (earnings, property income, and income from self‐employment) and taxes and transfers. Our findings indicate that although changes in the distribution of earnings are an important force behind recent trends, they are not the only one. Greater earnings dispersion has in some cases been accompanied by a reduction in the share of earnings which dampened its impact on overall household income inequality. In some countries the contribution of self‐employment income to inequality has been on the rise, while in others, increases in inequality in capital income account for a substantial fraction of the observed distributional changes.     

Inequality of Happiness in the U.S.: 1972–2010

It is well accepted that a country's GDP may not fully reflect its level of well‐being. In recent years, happiness has emerged as an alternative indicator of well‐being, and research has mainly focused on determining the level of happiness. While it is important to look at the level, the distribution of happiness is also a salient aspect in any evaluation of inequality. There has been a growing interest in the distribution of happiness, although the ordinal nature of the data makes the use of standard inequality measures problematic. Our paper contributes to the literature by exploring the distributions for the U.S. from 1972 to 2010. Based on new methods developed for ordinal data, we are able to overcome the problems associated with ordinality and obtain unambiguous rankings of happiness distributions. We also compute the level of happiness inequality using existing measures based on median centred approaches. Further, we decompose the median based inequality measures of happiness by gender, race, and region.     

Understanding Rising Income Inequality in Germany, 1999/2000–2005/2006

We examine the factors behind rising income inequality in Europe's most populous economy. From 1999/2000 to 2005/2006, Germany experienced an unprecedented rise in net equivalized income inequality and poverty. At the same time, unemployment rose to record levels, part‐time and marginal part‐time work grew, and there was evidence for a widening distribution of labor incomes. Other factors that possibly contributed to the rise in income inequality were changes in the tax and transfer system, changes in the household structure (in particular the rising share of single parent households), and changes in other socio‐economic characteristics (e.g., age or education). We address the question of which factors were the main drivers of the observed inequality increase. Our results suggest that the largest part of the increase was due to increasing inequality in labor incomes, but that changes in employment outcomes and changes in the tax system also contributed considerable shares. By contrast, changes in household structures and household characteristics, as well as changes in the transfer system only seem to have played a minor role.     

Unequal opportunities and human capital formation

This paper develops a tractable, heterogeneous agents general equilibrium model where individuals have different endowments of the factors that complement the schooling process. The paper explores the relationship between inequality of opportunities, inequality of outcomes, and aggregate efficiency in human capital formation. Using numerical solutions we study how the endogenous variables of the model respond to two different interventions in the distribution of opportunities: a mean-preserving spread and a change in the support. The results suggest that a higher degree of inequality of opportunities is associated with lower average level of human capital, a lower fraction of individuals investing in human capital, higher inequality in the distribution of human capital, and higher wage inequality. In particular, the model does not predict a trade-off between aggregate efficiency in human capital formation (as measured by the average level of human capital in the economy) and equality of opportunity.     

INEQUALITY AND AGGREGATE DEMAND IN THE IS‐LM AND IS‐MP MODELS

This paper presents an extension to the textbook IS‐LM and IS‐MP models that allows the short run effects of an increase in household income inequality to be studied in a simple manner. The income distribution is assumed to be log‐normal, and the coefficient of variation of income is assumed to be exogenous. The latter is used as the measure of income inequality, and enters otherwise standard IS and LM curves in a straightforward manner. While the models are highly stylised, they can easily be extended to more complicated variants.     

Multidimensional welfare distributions: empirical application to household panel data from Vietnam

This article explores the empirical application of theoretical multidimensional welfare distribution analysis techniques to real household welfare distributions. The article operationalizes recent conceptual developments in multidimensional distribution theory and assesses their usefulness for the measurement of multidimensional household inequality. The results strongly highlight the importance of bringing nonmonetary aspects of household welfare into the forefront of inequality analysis. Agreement over the various approaches to the measurement of multidimensional inequality entails, however, nontrivial decisions that may limit the practical usefulness of these measures. We suggest that the use of multidimensional inequality ranges and the application of restrictive dominance criteria to multidimensional welfare distributions may open significant scope for further developments in the empirical analysis of multidimensional inequality.     

Can the link between functional and personal income distribution enhance the analysis of inequality?

The aim of this paper is to present a framework which links functional and personal income distribution. In the first part of the paper, Piketty’s book “Capital in the XXI Century” is briefly reviewed. Piketty’s framework is discussed arguing that it can only partially explain levels and changes within personal income distribution. Piketty links the returns from capital r to the rate of growth of national income g in a very innovative way comparing them within a macroeconomic framework. He claims that when returns on capital rise more quickly than the overall economy and taxes on capital remain low, a vicious circle of ever-growing dynastic wealth and growing concentration of wealth takes place. However, the rise in the inequality of personal income distribution cannot only be explained by the rise of capital incomes. An analysis of the generation of personal incomes, and consequently of inequality, requires a suitable framework that links incomes at the macroeconomic level (national accounts) and incomes at the level of the individual/household. It is possible to set up this framework starting from individual endowments and their link to the productive structure: that is to what can be called the “generating function of personal income.” This function transforms personal endowments into personal earnings, given the productive structure, the technologies, and the market rules that determine the functional distribution. Personal income distribution and its inequality are linked to the functional one through the shares of capital and labor owned by each individual. The framework introduced here seems to be a suitable tool to account for the fact that personal income distribution is inextricably tied up to different sources of inequality in the distribution of national income. Sources come from institutional and productive structures (matrix Y), but also from the distribution of endowments and of individual/household entitlements (matrix S). This approach, we argue, allows for the assessment and evaluation of the effects of “ambitious new policies,” aimed at reducing poverty and inequality ex-ante, as suggested by Atkinson in his last book.     

DOES SIZE MATTER? THE IMPACT OF CHANGES IN HOUSEHOLD STRUCTURE ON INCOME DISTRIBUTION IN GERMANY

Income inequality in Germany has been continually increasing during the past 20 years. One cause of this development, among others, could be structural shifts in household formation due to long‐term societal trends. These affect per capita incomes, which has repercussions for the income distribution even if wages remain constant. The aim of this paper is to quantify the proportion of changing household structures in the increase in inequality. We find that the growth of the income gap in Germany (for both East and West from 1991 to 2007) is indeed strongly related to changes in household structure and employment behavior, and a large part of this increase is compensated by the welfare state.     

收入不平等对经济增长影响的实证研究

采用联立方程分析方法,实证分析了收入不平等对经济增长影响的三种机制,探讨了收入不平等如何通过影响物质资本投资、人力资本投资和居民消费来作用于经济增长。结果表明,从长期看收入不平等的扩大会刺激物质资本投资,但不利于人力资本投资和居民消费增长,收入不平等对经济增长的长期影响为负。因此,从经济发展的角度政府不应容忍收入不平等的过分扩大。     

A theory of persistent income inequality

This paper explores the dynamics of income inequality by studying the evolution of human capital investment and neighborhood choice for a population of families. Parents affect the conditional probability distribution of their children's income through the choice of a neighborhood in which to live. Neighborhood location affects children both through local public finance of education as well as through sociological effects. These forces combine to create incentives for wealthier families to segregate themselves into economically homogeneous neighborhoods. Economic stratification combines with strong neighborhoodwide feedback effects to transmit economic status across generations, leading to persistent income inequality.     

Income inequality in China: causes and policy responses

The phenomenal economic growth in China has been accompanied by a rapid increase in income inequality. This paper reviews the historical trends and patterns of income inequality in China, discusses the potential causes underlying rising income inequality, and applies the functional distribution of income approach in understanding China’s income inequality. This analytical approach highlights how rising return to capital relative to wage incomes can be an important source for increasing income inequality in China. The paper provides the evidence which shows that the rapid economic growth in China has been relying on a model that pays high returns to various kinds of capital including financial capital and real estate, while the ownership of capital is very unequal. This finding prompts us to rethink about the causes of China’s income inequality and to formulate appropriate policies based on the new way of understanding this pressing issue of income distribution in China.     

教育融资体制对代际流动性与不平等程度的动态影响：基于OL G模型的分析

传统的代际流动性研究并没有对代际流动性的短期值和长期值作有效区分,也未考虑人力资本形成中的不确定性,因而“代际流动性越高则不平等程度越低”这一分析结论并未在中国的现实中呈现。文章据此通过构建一个代际交叠模型比较分析了公共教育体制和市场教育体制下的代际流动性。模型动态分析发现：(1)公共教育体制下的不平等程度的长期值比市场教育体制下更低。(2)代际流动性短期值的升高并不总是伴随着不平等程度的下降,当社会受到某种剧烈冲击时可能发生两者同升同降的情况。(3)政府进行激进式的教育体制改革会使人力资本收敛速率发生跃升,并且使不平等程度的短期值和长期值都增大,而代际流动性则会在突降后在逐渐收敛到新的更低的稳态值。(4)人力资本积累不确定性参数值反映了个体不可观测的技能或先天禀赋,是影响代际流动性和不平等程度的重要因素。不确定性的突然上升会使不平等程度的短期值迅速上升,并且会使不平等程度的长期值达到新的高位,虽然代际流动性短期值也会迅速上升,但依旧会逐渐收敛到以前的稳态值不变。文章的研究有益于厘清代际流动性与不平等程度的复杂关系,也能为相关实证研究提供参考。     

Regional migration and wage inequality in the West African economic and monetary union

We investigate the impact of intra-regional migration on wage inequality in the West African Economic and Monetary Union (UEMOA). We exploit unique data from a unified labour force household survey which covers natives and migrants in the seven economic capital cities of that region. We first estimate the counterfactual wage distributions of UEMOA migrants in absence of migration to evaluate the compositional effect of migration (i.e., when wages are treated as exogenous). We find that regional migration increases average wages by 1.8% and generates a decrease in inequality that ranges between −1.5% (for the Gini index) and −4.5% (for the interquartile ratio). This is essentially driven by a reduction in inequality between capital cities, while the effect of migration on within-capital cities inequality is heterogeneous across countries and remains small overall. Second, when accounting for possible general equilibrium effects of migration on stayers’ wages (i.e., when wages are treated as endogenous), we find similar to stronger effects on inequality, albeit with a smaller increase in the average wage.     

Do Education and Income Really Explain Inequalities in Health? Applying a Twin Design

We apply a twin design to examine the relationship between health and education and income. The estimated associations between health and education and income, controlling for unobserved endowments, at the twin‐pair level, are lower than estimates obtained via ordinary least‐squares (OLS) on the same sample. Thus, OLS‐based effects of education and income are biased, exaggerating the contribution of education and income to health inequality. The main part of health inequality is explained by within‐twin‐pair fixed effects, incorporating family background and genetic inheritance. It appears that education and income policies have less to offer for reducing health inequality than is usually assumed.     

Inequality of opportunity in sub-Saharan Africa

Inequality of opportunity is defined as the difference in individuals’ outcome systematically correlated with morally irrelevant pre-determined circumstances, such as ethnicity, socio-economic background, area of birth. This definition has been extensively studied by economists on the assumption that, in addition to being normatively undesirable, it can be related to low potentials for growth. However, empirical estimations of inequality of opportunity require accessing rich data sources, rarely available in poorer countries. In this paper, we exploit 13 consumption household surveys to evaluate inequality of opportunity in 10 Sub-Saharan African countries. According to our results, the portion of total inequality that can be attributed to exogenous circumstances is between 40% and 56% for the generality of countries. Our estimates are significantly higher than what has been found by previous studies. We detect a positive association between total consumption inequality and inequality of opportunity, and we study the different sources of unequal opportunities. The place of birth and the education of the father appear to exert the most relevant role in shaping inequality of opportunity in the region.     

Why Did Income Inequality in Germany Not Increase Further After 2005?

While income inequality in Germany considerably increased in the years before 2005, this trend stopped after 2005. We address the question of what factors were responsible for the break in the inequality trend after 2005. Our analysis suggests that income inequality in Germany did not continue to rise after 2005 for the following reasons. First, we observe that the general rise in wage inequality that explained a lot of the inequality increase before 2005, became less steep (but did not stop) after 2005. Second, despite further increases in wage inequality after 2005, inequality in annual labour incomes did not increase further after 2005 because increased within‐year employment opportunities compensated otherwise rising inequality in annual labour incomes. Third, income inequality did not fall in a more marked way after 2005 because also the middle and the upper part of the distribution benefited from the employment boom after 2006. Finally, we provide evidence that the effect of a wide range of other factors that are often suspected to have influenced the distribution such as capital incomes, household structures, population ageing, changes in the tax and transfer system and the financial crisis of 2008 did not significantly alter the distribution after 2005.     

Social status pursuit,distribution of bequests and inequality

The quest for social status modifies lifetime decisions and as a consequence, the trajectory of the overall economy. Focusing on the relative wealth dimension of social status, we build a two-period overlapping generations model with heterogeneous agents to investigate the effects of status quest on the evolution of bequest distribution and household inequality. We show that the bequest motive and the concern for social status not only increase the stationary level of capital but also enhance the household equality.     

Relative Income and Indebtedness: Evidence from Panel Data

We examine patterns of indebtedness in the Panel Study of Income Dynamics, focusing on the period surrounding the housing bubble and its aftermath (i.e., 1999–2009). Leverage increased across households, but most quickly among lower income households during this period. We find additionally that leverage grew faster for households with lower relative income compared to other households in similar demographic groups or within a state controlling for own income. Together, these findings provide evidence for the thesis that the rising indebtedness of households in the U.S. is related to high levels of inequality, and that “Veblen effects,” whereby relative income matters for individual well‐being and decisions, may contribute to rising household indebtedness.