INCOME INEQUALITY IN THE PHILIPPINES, 1961–91

Household income inequality in the Philippines remains high and the trends for three decades have been fairly stable except for a sharp decline in the mid-1980s. Gini coefficient of income inequality has been consistently close to 0.50. Urbanization and education of household head are the most important factors determining the level of income inequality while the contribution of age of head is limited. The increase in the number of urban households results in an increase of overall inequality while the increase in the number of household heads with a college education tends to decrease the inequality. Among the household income sources, wage income is the largest contributor to total income inequality. Wage rate inequality appears to be a major source of wage income inequality.     

Macroeconomic variables and income distribution: Conditional modelling with the generalised exponential

This paper presents a method of examining the effects of macroeconomic variables on the personal distribution of income over time. The approach involves modelling the complete distribution of income in each year using a flexible functional form from the generalised exponential family of distributions. The parameters of the distribution are specified as functions of the macroeconomic variables. It is shown how comparative static analyses, involving the modes and Atkinson inequality measures, can be performed. The method is applied to male New Zealand income distribution data for the period 1985–1994. The rate of unemployment is found to be the primary influence on the form of the distribution. Higher unemployment is found to decrease the modal income and increase the Atkinson inequality measure.     

A new ordered family of Lorenz curves with an application to measuring income inequality and poverty in rural China

The most common data source on income distribution in China is grouped data. When income data is in grouped form, some acceptable Lorenz model is needed to approximate the underlying Lorenz curve. This paper presents a new family of Lorenz curves and applies the main model in our proposed family of Lorenz curves to income data for rural China over the period 1980 to 2006. We find that the income share of the rural population at the low end of the income scale has been shrinking, income inequality in rural China has increased over time and that income inequality has impeded attempts to reduce poverty. However, the welfare of the rural population is still improving in terms of the generalized Lorenz dominance criterion.     

Differences in Food Preparation by Race and Ethnicity: Evidence from the American Time Use Survey

This paper examines factors that influence individuals’ time use decisions regarding food preparation. Using American Time Use Survey data, Tobit estimates confirm that time spent on food preparation differs by race, ethnicity and socio-economic status. In general, hours worked, age, and education are negatively associated with time spent preparing food-cooked-at-home, while family care and leisure time are positively associated with it. Time spent purchasing prepared-food, on the other hand, has a positive relation to hours worked, family care, leisure time, education, and income, although its effects significantly differ by race and ethnicity. Estimates further show a positive relationship between time spent preparing food-cooked-at-home and family size, supporting the Barten theory of scale economies in home production.     

Trade openness and income inequality in China and the SAARC Region

The paper empirically examines the effects of trade liberalisation on income inequality in China and the South Asian Association for Regional Cooperation countries. Panel data analysis is conducted for the period of 1973 to 2012. The results show that liberal trade policies have increased income inequality in these countries. These results are robust to alternative liberalisation measures. The control variables used have differing effects on income distribution. Per capita income has an increasing effect on income inequality, while education, financial development, financial openness, democracy, and government size are shown to reduce income inequality. These outcomes can be expected to have important policy implications for the use of trade liberalisation in these countries.     

Inequality,poverty and prospects for redistribution

This paper demonstrates that poverty and inequality trends can diverge. It then discusses inequality trends and shows that, despite measurement issues, there is consensus that inequality is very high and has been rising over much of the post-transition period. Due to rising inequality within all groups, and particularly the black population, and lower inequality between race groups, within-group inequality has become the dominant form of inequality. That does not, however, detract from the fact that inequality between groups is still very large. High income inequality largely stems from inequality in access to wage income, due more to wage inequality than to unemployment. A Gini coefficient for wage income amongst the employed of above 0.60 effectively sets a floor to overall income inequality. The high wage premium to educated workers derives from a combination of a skills shortage at the top end of the educational spectrum, driving up their wages, and a surfeit of poorly-educated workers competing for scarce unskilled jobs dampening unskilled wages; if the unemployed were to find jobs, it would be in this bottom part of the wage distribution, and consequently this would not much reduce wage inequality. A continuation of the historical pattern whereby only a small segment of the population obtained good schooling would leave the structures underlying the large wage premium unaltered. The time frame for substantial inequality reduction is thus necessarily a long one, while poverty reduction efforts should not wait for this to occur.     

A causal model of the size distribution of family income: Some overlooked determinants and policy implications

Summary The causes and interaction of variables affecting income inequality are complex and very little empirical research has been attempted to explain or measure these interactions. This paper employs an eclectic approach to construct a causal multiequation model that specifies a system of interrelationships to examine both the direct and indirect effects which selected socioeconomic and demographic variables have upon the size distribution of family income. This procedure has advantages over single equation models in explaining the processes through which variables affect income inequality, allowing greater accuracy in estimating the impact that variables have upon inequality by measuring both their direct and indirect effects, and facilitating the identification of policy variables and how they may be expected to work through the system of interrelationships to narrow the differentials in family earnings.In particular, our model reveals that the birth rate is the single most important factor exacerbating family income inequality, and selective policies were identified which may interact with many variables within the system to reduce family income inequality. The model further demonstrates a high predictive power with a coefficient of determination of 0.82. Our results demonstrate that causal multiequation models using an eclectic methodology to examine the interactions of variables and processes through which they affect the size distribution of income can be useful in quantifying the relative effects of a wide variety of socioeconomic and demographic determinants and constructing policies in future research efforts in this important area.     

Decomposition of the increase in earnings inequality in urban China: A distributional approach

This study examines changes in Chinese urban income distribution from 1987 to 1996 and 1996 to 2004 using nationwide household data and investigates the causes of these changes. The Firpo, Fortin, and Lemieux (2007, 2009) method based on unconditional quantile regressions is used to decompose changes in income distribution and income inequality measures, such as variance and a 10:90 ratio. The decomposition results show that wage structure effects, such as a widening gender earnings gap, increases in returns to college education, and increases in earnings differentials between industries, company ownership types, and regions, have been the major contributors to the overall increases in income inequality. It was also found that at different points on the income distribution (e.g., the lower or upper half), the contributing factors that increase income inequality are different.     

An Analysis of Welfare Changes in Zimbabwe*

Abstract: This paper presents a brief account of welfare changes in Zimbabwe along the income and education dimensions between 1995 and 2003. Using sequential dominance procedures, we find that education attainment substantially improved over time. However, these gains did not necessarily translate into poverty reduction, rather welfare over the joint distribution of income and education dramatically deteriorated. These results are robust for all education partitions, income thresholds and a broad class of welfare indices. A further inquiry into the factors underlying this apparent disconnection between education and income using decomposition techniques reveals that the increase in poverty incidence cannot be attributed to household characteristics but is reflective of the broader socio‐economic trends prevailing at the time. The decline in economic growth contributed tremendously to the decline in welfare while inequality changes account for a small proportion.     

Government spending and the distribution of economic growth

In the United States, total government spending, and especially government social spending, has increased greatly over the last 50 years. What effect this has had on economic growth is a subject of intense debate among politicians, policymakers, and economists. However, there has been less attention paid to the distributional effects of government spending even though economic inequality has grown greatly over the last generation and much social spending is at least indirectly intended to reduce inequality. The effects of government social spending in the United States on growth in family income at deciles of the income distribution were estimated. The results suggested that social spending but not non‐social spending was likely to increase growth in family income per capita measured over 10‐year intervals. The largest effects of social spending were for deciles below the median income. At no point in the distribution does social spending have a negative effect.     

Why is inequality higher among the old? Evidence from China

This paper studies income inequality in old age and its development over the life cycle. We show that income is more unequally distributed in old age than in working age. We combine the regression-based inequality decomposition method and the three-step mediating effect test to analyze the transmission of income inequality from initial socioeconomic differences to income inequality in old age. Our study is based on a panel of over 4000 old households from the China Health and Nutrition Survey during 1991–2015. We find that the urban-rural gap and educational inequality are the primary causes of old-age income inequality. The effect of the urban-rural gap is partially mediated by educational inequality. Inequality accumulates with age and is reinforced in old age by the fragmented Chinese public pension system.     

Does inequality in health impede economic growth?

This paper investigates the effects of inequality in health on economic growth in low and middle income countries. The empirical part of the paper uses an original cross-national panel data set covering 62 low and middle income countries over the period 1985 to 2007. I find a substantial and relatively robust negative effect of health inequality on income levels and income growth controlling for life expectancy, country and time fixed-effects and a large number of other effects that have been shown to matter for growth. The effect also holds if health inequality is instrumented to circumvent a potential problem of reverse causality. Hence, reducing inequality in the access to health care and to health-related information can make a substantial contribution to economic growth.     

Income versus Consumption Inequality in Korea: Evaluating Stochastic Dominance Rankings by Various Household Attributes

Using four rounds (1999, 2002, 2005 and 2008) of the Korean Labor and Income Panel Study, the present paper examines determinants of household income and consumption levels and inequalities. Unconditional as well as conditional stochastic dominance tests are performed by year, by household heads’ characteristics (age, education, gender, health, marital status and occupation) and by household characteristics (household type, household size and degree of urbanization). Mean least squares regression techniques are used to predict conditional expectations. The residuals containing effects for each characteristic conditional on the remaining characteristics are then used for the stochastic dominance analysis employing extended Kolmogorov–Smirnov tests of first‐order and second‐order dominance in distribution of income and consumption. The results provide a detailed and up‐to‐date picture of inequality and poverty by subgroup in Korea, which helps in targeting particularly vulnerable groups. While inequality in disposable income is found to be substantial, consumption inequality is less substantial. Households headed by the elderly, the uneducated, the divorced, the widowed, females, and those with health problems are found to be the most vulnerable groups.     

对外开放与我国的收入不平等——基于面板数据的实证研究

本文采用我国1991~2004年的省际面板数据,就收入不平等与对外开放之间的关系进行了实证检验,发现进出口的增加与外商直接投资的大量进入均导致了我国收入不平等程度的提高。以往的研究并没有将进口和出口的影响区分开来,本文分别分析了进口和出口对各地区收入不平等的影响,发现进口能够显著提高各地区的收入不平等程度,而出口能够在一定程度上减少收入不平等。文章最后就对外开放对我国收入不平等产生影响的可能途径进行了探讨,并提出了相关建议。     

The impact of education on income inequality and intergenerational mobility

This paper analyses the effects of innate ability, compulsory education (grades 1–9), and non-compulsory education (grades 10–12 and higher education) on inequality and intergenerational mobility of income, by constructing a four-period overlapping-generation model. We find that innate ability and family investment in early education play important roles in explaining income inequality and intergenerational income mobility. Though children from the wealthiest families are only 1.36 times ‘smarter’ that those from the poorest, the gap in human capital expands to 2.35 at the end of compulsory education and to 2.89 at the end of non-compulsory education. One important reason for the increase is that poor families invest relatively less in children's early education than do wealthy families; therefore, their children attend lower-quality schools, which results in them being much less likely to participate in higher education. By simulating policy experiments for different types of government education expenditure, we find that direct subsidies to poor parents are the most efficient and effective policy for mitigating poor families' budget constraints with regard to early-education investment in their children.     

中国农村收入不平等—基于微观调查数据的回归分解

论文利用2003-2008年CGSS的微观个体调查数据,运用回归分解方法对中国农村收入不平等进行分解。首先对收入不平等进行测算,研究发现农村收入极端不平等,并且呈上升趋势。回归分解结果表明,年龄、教育、性别、东部地区虚拟变量、政治地位、婚姻、健康和幸福感是对农村收入不平等的决定要素。其中教育、年龄、性别、东部地区虚拟变量和健康对农村收入不平等的贡献显著。其余变量对农村收入不平等的贡献相对较小,但其对农村收入不平等的影响也不能被忽视。研究结论对政府制定科学合理的收入分配政策和有效调控收入差距具有借鉴作用。     

寒门难出贵子?——基于“家庭财富-教育投资-贫富差距”的实证研究

文章首次从教育选择的角度出发,探讨了人力资本投资与收入差距之间的关系,作者首先建立了教育回报的代际交迭模型,推断出富裕家庭教育回报率高这个事实会拉大社会的贫富差距。作者使用1992年至2009年的中国城镇住户调查数据对理论推论进行了论证,实证结果表明出身"寒门"的子女期望教育回报率更低,这拉大了与富裕家庭群体的收入差距,也是"寒门难出贵子"的原因。自2001年来,家庭因素带来的教育回报差异能够解释19.1%的城镇居民收入差距,引入工具变量的结果表明,真实的情况可能更加严重。作者进一步模拟了"新常态"下的贫富差距状况,结果表明,经济潜在增速下降会使得基尼系数扩大6.1%。     

Describing and decomposing post-apartheid income inequality in South Africa

This paper describes the changes in inequality in South Africa over the post-apartheid period, using income data from 1993 and 2008. Having shown that the data are comparable over time, it then profiles aggregate changes in income inequality, showing that inequality has increased over the post-apartheid period because an increased share of income has gone to the top decile. Social grants have become much more important as sources of income in the lower deciles. However, income source decomposition shows that the labour market has been and remains the main driver of aggregate inequality. Inequality within each racial group has increased and both standard and new methodologies show that the contribution of between-race inequality has decreased. Both aggregate and within-group inequality are responding to rising unemployment and rising earnings inequality. Those who have neither access to social grants nor the education levels necessary to integrate successfully into a harsh labour market are especially vulnerable.