How large is income inequality in China: assessment on different estimates of Gini coefficient

The rising income inequality in China has attracted social attentions, especially since SWUFE published the unbelievably high Gini coefficient in December 2012. In order to answer the question how large income inequality in current China is, this paper compares existing different Gini coefficients estimated from four different household surveys, which are the NBS household survey, the CHIP survey, the CHFS of SWUFE, and the CFPS of Peking University, and then assesses these household surveys themselves. The relevant evidences indicate that the national Gini coefficient in current China is between 0.47~0.52. The sampling defects of the CHFS are significantly major and that the national Gini coefficient of 0.61 published by SWUFE is seriously overestimated.     

我国居民收入不平等的主要原因：市场还是政府政策？

市场因素和政府收入再分配政策是决定一国居民收入不平等程度的两个重要因素。本文采用中国家庭收入调查（China Household Income Project ,CHIP）住户数据,计算出我国居民市场收入基尼系数与可支配收入基尼系数,并同发达国家进行比较,借此探讨目前我国居民收入不平等是由市场力量造成的,还是政府收入再分配政策力度不足的结果。研究发现,从市场收入基尼系数来看,我国与发达国家之间的差距并不大。由此认为,政府收入再分配政策效果不明显是导致我国居民收入分配不平等状况较发达国家严重的主要原因。加大转移支付等再分配政策力度是缓解和改善目前我国居民收入不平等的主要途径。     

Housing and Income Inequality in Europe: Distributional Effects of Non-Cash Income From Imputed Rents

This article uses survey data to estimate non-cash income from imputed rents, using a consistent methodology for all countries to assemble comparable statistics that allow for a valid inter-country comparison. We can confirm a significant impact of non-cash income and find an inequality-decreasing effect for the unconditional income distribution which highly correlates with the proportion of owner-occupiers in the respective countries. However, aggregated inequality measures are not suited to analyze the increase in the conditional income inequality between owner-occupiers and renters, who do not obtain income from imputed rents by definition. Therefore, we apply a reweighting decomposition that controls for the heterogeneous housing characteristics among European countries and allows us to decompose the distributional changes into a part that is explained by the proportion of tenure types and household size and a remaining part that reflects the relative dispersion of imputed rents along the income distribution.     

Unemployment Shocks and Income Distribution: How did the Nordic Countries Fare during their Crises?

We study the inequality of disposable income in Denmark, Finland, Norway and Sweden during the late 1980s and early 1990s when unemployment rose dramatically in all four countries. A standard measure of inequality — the Gini coefficient – was surprisingly stable in all countries during this period. By decomposing the Gini into income components, we test hypotheses about the reasons for this stable income distribution. Our most straightforward hypothesis, that rising unemployment benefits counteracted the impact of more unequally distributed earnings, receives only limited support. More complex mechanisms seem to have been at work.
JEL classification: D 30; D 31; J 60     

Inequality in Japan*

This paper analyzes income inequality, based on government income statistics and an attitude survey. First, the paper describes the present income inequality in Japan by using Gini coefficients, the income share of the top and bottom income classes, and mobilities among income classes. Second, by using the Japan–USA international survey, this paper analyzes the cause of the increasing awareness that Japan's income gap is widening. In these two countries, their distinct value judgments about the causes for the gap influence how they perceive it. The Japanese have negative perceptions about the income gap because they perceive it to be influenced by talent, academic background, or luck, and this perception seems relatively uncommon in the USA. A large percentage of Japanese also think one's income is decided by talent, academic background, or luck, although it should not be. Such disagreements between the desired and perceived determinants of income are thought to raise their negative perception of the gap.     

Calculation and decomposition of income inequality in low- and middle-income countries: a survey data analysis

This article estimates income inequality in a sample of four low- and middle-income (LMI) countries namely; Albania, Nepal, Tajikistan and Tanzania using the household survey data – Nepal Living Standard Measurement Survey Second. First, we estimate the income generation function for each country and calculate the income inequality using Gini index (GI). Second, we decompose the income Gini into the determinants of income generation functions. Based on the decomposition result, socio-economic factors are the most important determinants of income inequality followed by geographic factors. Demographic factors have the least effect on income inequality in all four countries. Third, we propose a new method to quantify the effect of change in each covariate of income generation function on income Gini. That allows us to quantify the effects of change in specific policy such as increase in investment in schooling or public health to specific group of the population in society on income inequality. A carefully chosen, integrated policy can significantly reduce inequality in all four countries under study.     

Top Income Adjustments and Inequality: An Investigation of the EU-SILC†

This paper provides a novel assessment of how the World Inequality Database (WID) top income adjustment applied by Blanchet, Chancel, and Gethin (2021) to European Union Statistics on Income and Living Conditions (EU-SILC) data for 26 countries over 2003–2017 for Distributional National Accounts purposes affects inequality in equivalized gross and disposable household income. On average, the Gini is increased by around 2.4 points for both gross and disposable income, with notable differences across countries but limited impact on trends. EU-SILC countries that rely on administrative register data see relatively small effects on inequality. Comparing with two other recent studies, differences in impacts on measured inequality depend less on the adjustment method and more on whether external data sources are used.     

Income Distribution and Aggregate Saving: A Non‐Monotonic Relationship

Drawing on a panel of advanced economies, this paper documents a concave and non‐monotonic link between inequality and the aggregate household saving rate. We find that, at a low level of inequality, more inequality is associated with higher saving; but we also show that a negative relationship between inequality and saving prevails where inequality is high. Using different empirical approaches, we locate the turning point, where the marginal effect of inequality turns from positive to negative, at a net income Gini coefficient of around 30. Moreover, we show that the relationship between inequality and saving also depends on financial market conditions. While inequality increases saving, when credit is scarce it tends to reduce saving at high levels of credit. This paper primarily focuses on household saving, yet we also find some evidence for a non‐monotonic effect of inequality on private saving, national saving, and the current account balance.     

城镇家庭收入差异研究——基于2005-2009年安徽省城镇家庭月度住户调查数据的分析

本文以经典的经济增长理论为基础，结合中等收入国家的特点，提出如下理论假设：通胀所造成的家庭福利损失会影响中等收入国家宏观经济的发展，进而推动相关国家陷入“中等收入陷阱”。而后通过FGLS、差分GMM，以及系统GMM的方法对陷入“中等收入陷阱”的典型国家进行回归分析。分析结果表明，在控制了基础设施、债务水平、技术创新以及储蓄率这些影响因素之后，通胀对上述国家人均GDP增长率均有显著的负向影响，即使是在年均通胀率只有514%的东亚国家组，通胀对人均GDP增长率的平均影响也达到了123个百分点～221个百分点，影响比重达到了27%～48%。所以，我们应该加强对通胀的调控，以确保我国经济能够持续健康地发展。     

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.     

地区收入结构与我国城镇居民收入差距的演化——基于2000--2009年数据的考察

基于2000-2009年全国各省份城镇居民收入数据,依据基尼系数和泰尔指数两种方法测度了我国城镇居民收入差距的变化程度,结果显示2000-2006年差距略微上升,但2006-2009年逐年下降,发现了经济增长与收入差距没有必然的一致性,即经济的增长并不必然以收入差距的扩大为代价,缩小收入分配差距也并不必然牺牲经济的发展速度。通过基尼系数把城镇居民收入差距分解为收入结构差距,揭示了工资性收入是总差距的决定因素,但其对总差距的贡献度在不断降低;转移性收入对总差距的贡献程度也在降低,二者对缩小总差距有积极作用。通过泰尔指数把城镇居民收入差距分解为区域间差距和区域内差距,发现区域间差距是构成总差距主体,但是从时间序列看,区域内对总差距的影响程度逐步扩大,东部地区内部省际城镇居民收入的差异对区域内差距影响最大。     

Refitting the Kuznets curve using a gender-specific threshold model

Previous studies have reached mixed conclusions regarding the relationship between inequality and per capita income. These studies, however, fail to consider gender differences in income inequality and how these may impact on the relationship between income inequality and per capita income. Using Australian taxation statistics, we derive three sets of Gini coefficients (i.e. female, male and total) for the period 1950–2013. We then examine the relationship between inequality and real per capita income and find that a gender-specific threshold panel regression outperforms three other conventional models. Our findings suggest that ‘one set of coefficients does not fit all’ in that the use of aggregate and constant coefficients may mask variations within, and between, gender inequality over time.     

A tale of two Ginis in the US, 1921–2012

Following a methodology by Jantzen and Volpert (2012), we use IRS Adjusted Gross Income data for the US (1921–2012) to estimate two Gini indices representing inequality at the bottom and the top of the income distribution, and to calculate the overall Gini as a function of the parameters underlying the two indices. A steady increase in the overall Gini since the Second World War actually hides two different periods of distributional changes. First, the increase in inequality from the mid 1940s to the late 1970s is driven by rising inequality at the bottom of the income distribution that more than offsets a decrease in inequality at the top. The implication is that middle-income earners gained relative to high-incomes, and especially relative to low-income earners. Second, the rise in the Gini after 1981 is driven by rising inequality at the top. Third, top-driven inequality follows a U-shaped trajectory consistent with Piketty and Saez (2003, 2006). Fourth, the welfare effects of the different distributional changes behind increasing inequality can be evaluated in light of the Lorenz-dominance criterion by Atkinson (1970): we argue that the rise in inequality since 1981 is much more likely to be associated with a social welfare loss net of compensating growth.     

Carbon-reducing taxes and income inequality: general equilibrium evaluation of alternative energy taxation in Taiwan

Recently, several studies have been a detailed evaluation of the economic implications of energy taxation as a policy instrument to conserve energy and reduce carbon emissions. However, little attention has been devoted to inquiring about the economic implications of energy taxation in the newly industrialized countries (the so-called NICs). In this paper, we use a multisector, multihousehold computable general equilibrium model to assess the distributional effects of alternative energy taxation on the Taiwan economy. The counterfactual simulation technique is applied to investigate the income distribution implications of: (1) an increase in the import taxes of crude oil; and (2) an increase in the excise taxes of petroleum products. Our empirical results basing on Taiwan's data show that both energy taxes increase government revenue and the Gini coefficient, but reduce net value-added, private consumption, disposable income and equivalent variation. A raise in the Gini coefficient implies that there is a worsening in the distribution of income. The lowest income group suffers relatively large welfare and income loss, but the highest income group suffers a relatively small welfare and income loss. The distributional effects differ from household to household depending on the composition of their total consumption and the source of their factor income. Our findings reveal that the energy tax appears to be mildly regressive, there are broadly consistent with those cases of developed countries reported in previous studies.     

EVIDENCE ON RELATIONSHIPS AMONG ALTERNATIVE MEASURES OF CONCENTRATION: A TOOL FOR ANALYSIS OF LDC INEQUALITY

The evidence on economic inequality in nearly all developing countries is both seriously incomplete and of moderate to poor quality. In addition, information often corresponds to distributions which appear to be less revealing and useful than other ones; thus it can be argued that the frequently available distribution of income among households ranked by household income is less helpful than the seldom found distribution of consumption among persons ranked by per capita household consumption. Whether one's objective is to assess inequality in some absolute sense or (especially) to make comparisons across countries or evaluate trends over time, it is useful to know whether systematic relationships exist among various measures of inequality, in particular between those most commonly available and those conceptually most interesting. Illustrative comparisons of a variety of inequality indicators are presented. They suggest that in developing countries the concentration of income among persons (assuming equal distribution within the family) does not differ much from the concentration among households. They also suggest that the concentration of consumption is somewhat less unequal than that of income, the ratio of the respective Gini coefficients tending to cluster around 0.85 to 0.90.     

Fairness and inequality tolerance: Evidence from the Life in Transition Survey

This paper examines the link between inequality and individual well-being using household survey data from 27 transition economies, where income inequality increased considerably since 1989. A test of inequality aversion in individual preferences that draws on the Fehr and Schmidt (1999) specification of inequality aversion is proposed, and the difficulties of implementing it in a non-experimental setting are discussed. Estimates based on this model confirm aversion to inequality among individuals both in the pooled sample and separately among the EU and non-EU countries. The Gini index, on the other hand, is unable to capture this negative effect of inequality on well-being. Notably, inequality aversion is not intrinsic. Rather, it appears to be tied to a concern with the fairness of the institutions underlying the distribution of fortunes in society. The evidence is suggestive of inequality of opportunity driving attitudes toward overall inequality.     

Inequality,Redistribution, and the Financial Crisis: Evidence from Distributional National Accounts for Austria

In this paper, we provide novel findings regarding the distributional effects of the global financial and economic crisis and how redistribution operated during this time, using detailed data for Austria. We construct distributional national accounts for the period 2004–2016 by combining survey data, tabulated tax data, and detailed national accounts data. The comprehensive data set allows us to analyze the distribution of macroeconomic income growth across the income distribution and to explore the evolution of income inequality over time. Our results suggest that as the distribution of growth changed over time, this had considerable repercussions for inequality, which started to decline at the very beginning of the economic and financial crisis, but increased again after 2012. We find that capital income largely determined both the level and the dynamics of income inequality. Government spending was found to play a key role for redistributive effects across the income distribution. In particular, in-kind transfers redistributed pre-tax income to a large extent. Our results show further that individuals with lower educational levels and younger individuals faced negative growth in pre-tax income over the years and also benefited considerably from redistribution.     

Understanding China’s official statistics

In response to the three influential doubts about government statistics, this article expounds the differences between relevant common economic statistical indicators and the national account indicators that reflect demand structure and national income distribution structure. The comparisons include the following aspects: the differences between household consumption expenditure from household survey and from expenditure-based GDP; the differences between total retail sales of consumer goods and final consumption expenditure from expenditure-based GDP; the differences between government expenditure from government fiscal statistics and government consumption expenditure from expenditure-based GDP; the differences between total investment in fixed assets from investment statistics and gross fixed capital formation from expenditure-based GDP; the differences between inventories and change in inventories from expenditure-based GDP; the differences between foreign trade balance from customs statistics and net exports of goods and services from expenditure-based GDP; and the differences between household disposable income from the household survey and from the Flow of Funds Table, etc. In addition, this article answers the questions proposed by the three doubts correspondingly.     

Inequality within generation: Evidence from France

Intra-generational inequalities focus on the distributions within age groups. On the basis of French household income surveys carried out from 1996 to 2014, the Gini coefficient and D9/D1 inter-decile ratio were calculated so as to evaluate intra-generational income inequality before and after redistribution by the tax and welfare system. Age-Cohort-Period models were then estimated in order to disentangle age and generation effects. Over a life cycle, intra-generational inequality displays a hump-shaped curve peaking at age 55–59. This inequality is significantly lower among the youngest, whichever inequality indicator is used, and among the oldest, when measured by the inter-decile ratio. Comparison of pre- and post-redistribution income reveals that the tax and welfare system particularly reduces inequality among the young. Intra-generational inequality measured by the Gini coefficient increases significantly from one generation to the next. Measured by the inter-decile ratio, the increase is considerable for the gross income of those generations born from the 1970s on. However, the tax and welfare system has compensated for this increase, because analysis of the inter-decile ratio applied to disposable income shows no significant difference between generations.