Inequality and Determinants of Earnings in Malaysia, 1984–1997*

Using three large nationally‐representative Malaysian Household Income Surveys from 1984, 1989 and 1997, the present paper examines inequality and determinants of earnings. During the period 1984–1997, Malaysia's real per capita GDP increased by approximately 70percent, the participation rates for both men and women went up among all age groups, and the average number of years of schooling increased by 1.2years. There was a significant relative wage improvement among the bottom deciles. The rate of return to an additional year of schooling remained high (at 10percent), despite the huge increase in the supply of the highly educated. The stable overall rate, however, masks an increased rate of return on women's education, and a decreased rate for men. Wage discrimination against women amounts to 16–20percent, and the bias has increased in 1997. The pro‐Chinese earning ethnic bias is estimated at 31percent.     

Multinational companies and wage inequality in the host country: The case of Ireland

Multinational Companies and Wage Inequality in the Host Country: The Case of Ireland. — In this paper, the authors analyze the impact of multinational companies on wage inequality in a host country. Based on a model, in which the introduction of new technologies leads to increases in the demand for skilled labour and, therefore, to rising wage inequality, they econometrically study the Irish manufacturing sector between 1979 and 1995. They examine inequality between wages for skilled and unskilled labour within the same manufacturing sector. Their results indicate that there is an inverted-U relationship between wage inequality and multinationals, i.e., with the increasing presence of multinationals, wage inequality first increases, reaches a maximum, and decreases eventually.     

Gender differences in job search among young workers: A study using displaced workers in the United States

This article investigates gender differences in job search, job tenure, and wages, whether these differences vary over the early part of the life‐cycle, and whether they are associated with fertility decisions. Using data from the National Longitudinal Survey of Youths on highly attached displaced workers aged 20 to 45, we find that 20‐ to 29‐year‐old women and women older than 40 experience longer spells of displacement than comparable men, but that time to a new job is similar by gender for those between 30 and 39 years of age. The age pattern in male–female wage differences in the post‐displacement job is similar, with the largest differences occurring at ages 20 to 29 and over 40. We find no gender differences in tenure in the post‐displacement job. We interpret the differences for the younger ages to be related to fertility and we provide evidence that supports this view.     

Income Inequality and Health: Do the Equivalence Scales Matter?

The aim of this paper is to explore the relationship between income inequality and health in the European Union countries using new data from the European Community Household Panel (ECHP). The heterogeneity of the households has been approached using different equivalence scales. A variety of different model specifications were tried using different dependent variables such as life expectancy at birth and child mortality. The results give support to the influence of income inequality on health indicators using aggregate data and panel techniques, and show the sensitivity of the Gini index to the equivalence scale considered.     

A Case of Sticky Floors: Gender Wage Differentials in Thailand

Using 2004 Household Socio‐Economic Survey data for Thailand, we explore the gender wage differentials across the entire unconditional wage distribution and find a strong sticky floor effect. Glass ceilings, although observed along with sticky floors in the raw data and pooled regressions, disappear in the counterfactual decompositions, suggesting a strong sticky floor pattern in gender wage differentials in Thailand. Whereas the evidence for most European countries points to glass ceilings, our findings for Thailand are qualitatively similar to those from other South Asian and Southeast Asian countries for which evidence exists; namely, Singapore, the Philippines and Sri Lanka.     

Evidence of Earnings Inequality Based on Caste in Nepal

In this article, the monthly earnings gap between Dalit and non‐Dalit caste members in Nepal is estimated using two methods: Blinder‐Oaxaca decomposition method and the matching‐based nonparametric decomposition method. The nonparametric decomposition method estimates the monthly earnings gap based on a one‐to‐many matching of the given income‐generating characteristics, taking into account the differences in the support of the distribution of those characteristics for Dalits and non‐Dalits. According to the results, the majority of the earnings gap between Dalits and non‐Dalits is attributed to the endowment effect. Dalits earn less than non‐Dalits because Dalits have some characteristics that non‐Dalits do not, that are unfavorable in the labor market. That this endowment effect works against Dalits could be a reflection of the social exclusion and job segregation faced by Dalits in the past.     

Wages and Wage Inequality in South Africa 1994–2011: Part 2 – Inequality Measurement and Trends

We analyse the long‐term trends in wage inequality in South Africa, using household survey data. We show that the trends in household income inequality are largely driven by changes in wage inequality. Given the detailed nature of our series we show that measurement issues and breaks in the series need to be dealt with in order to draw robust conclusions from the data. Most standard inequality measures show that wage inequality has increased over the period. Nevertheless the choice of measure matters, because there are different trends in different parts of the distribution. It appears that the distribution below the median has become more compressed, while the top of the wage distribution has moved away from the median. The inequality in the labour market translates into even higher inequality in society given that high earners tend to live together with other high earners while low wage individuals often end up sharing their incomes with the unemployed. Furthermore there are many South Africans with access to no wage income. Given the trends analysed here it is not surprising that overall inequality in South Africa has not come down or has even increased since the end of apartheid.     

Inequality of opportunity and income inequality in nine Chinese provinces, 1989–2006

While there is a large and growing body of research describing and analyzing changes in the Chinese income distribution, researchers have paid considerable less attention to inequality of opportunity. The aim of this paper is to contribute to filling this gap in the literature. The two main questions addressed empirically for the first time in a Chinese context are: to what extent are individuals’ incomes and individual income differences due to factors beyond the individual's control (in Roemer's terminology “circumstances”) and to what extent are they due to outcomes of the individual's own choices (“effort”). What is the relationship between income inequality and inequality of opportunity?For this purpose we use data from the China Health and Nutrition Survey collected from nine provinces during the period 1989 to 2006. The CHNS has detailed information about incomes and other factors enabling us to construct a host of circumstance and effort variables for the offspring.We find that China has a substantial degree of inequality of opportunity. Parental income and parents' type of employer explain about two thirds of the total inequality of opportunity. Notably, parental education plays only a minor role implying that parental connections remain important. The results show that the increase in income inequality during the period under study largely mirrors the increase in inequality of opportunity. Thus, increased income inequality does not reflect changes in effort variables, or expressed differently, increased income inequality has not been accompanied by a decrease in inequality of opportunity.     

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.     

The Impact of Self‐Perceived Relative Income on Life Satisfaction: Evidence from British Panel Data

This is the first article that uses panel data to investigate the impact of individuals' self‐perceived relative income on life satisfaction. Analyses show that the self‐perceived relative income has a significant impact on life satisfaction, but the impact is asymmetric. The decline in life satisfaction is much more significant due to perceiving a lower relative income in comparison to the rise in life satisfaction because of perceiving a higher relative income. Absolute income is only significantly and positively associated with life satisfaction in the pooled ordinary least squares estimations, but the association is never significantly different from zero when individual fixed effects are controlled. Household savings have a positive but small impact on life satisfaction. Among different financial‐related shocks, people's self‐perceived relative income varies the most due to changes in household net income, total savings, and employment status.     

Gender Effect in Explaining Mobility Patterns in the Labor Market: A Case Study of Turkey

This paper examines the importance of gender for different job mobility patterns using an extensive household survey data from İzmir, the third largest city in Turkey. The determinants of job‐to‐job and job‐to‐nonemployment transitions are analyzed with the help of a multinomial logit estimation method. The results indicate that there is a distinction regarding the probability of job mobility patterns based on gender. It is more likely for women to be engaged in job‐to‐nonemployment transition, whereas men tend to change jobs more often. Although gender plays a significant role in job mobility patterns, traditionally imposed social constraints associated with childcare and household duties provide us with mixed results considering the behavior of women in the job market. On the other hand, having highly paid and secure jobs decreases the probability of both patterns of job mobility.     

Income Disparity among Persons with Disabilities,Assessed by Education and Sex: Accentuated Gender Difference Found in Metro Manila,the Philippines

How do persons with disabilities (PWDs) earn a living? This paper presents an investigation of the economic activities of PWDs in the Philippines, where, among developing countries, disability‐related legislation is relatively progressive. In 2008, a field survey was conducted in cooperation with Disability People's Organizations using a tailor‐made questionnaire in Metro Manila. The explanatory variables of income of PWDs were examined using Mincer regression. The conclusions are as follows. (1) There is remarkable income disparity among PWDs, differing with education and sex. (2) After controlling for PWDs' characteristics, it was found that female PWDs are likely to earn less than male PWDs. Such a significant income gap between men and women among PWDs is remarkable in the Philippines, where gender difference in income is generally small. This finding suggests that female PWDs are doubly disadvantaged in earning income.     

Spatial Comparisons of Poverty and Inequality in Living Standards in Malawi

The paper looks at poverty and inequality across areas in Malawi. The focus is on both monetary (consumption) and non‐monetary (health and education) dimensions of well‐being. Stochastic poverty dominance tests show that rural areas are poorer in the three dimensions regardless of poverty line chosen. Stochastic inequality dominance tests find that the north and south dominate the centre in health inequality, and there is no dominance between the north and south. With respect to education inequality, dominance is declared for the south‐centre pair only. A subgroup decomposition analysis finds that the south contributes the most to consumption and education poverty, while the centre is the largest contributor to health poverty. We establish that within‐area inequalities (vertical inequalities) rather than between‐area inequalities (horizontal inequalities) are the major driver of consumption, health and education inequality in Malawi.     

Inequality of opportunity in earnings in rural China

This paper explores the role of ‘inequality of opportunity’ in individual earnings in rural China, which is attributed to ‘circumstantial’ factors over which individuals have no control, including family background, gender, ethnic minority status and region of birth. These circumstances are contrasted with ‘efforts’ or choices that individuals make, which also impact on their individual earnings. Utilising the China Labour-force Dynamics Survey (CLDS) 2014, I measure the share of inequality of opportunity in the overall inequality of individual annual earnings for the entire sample and for each of four ten-year birth cohorts in rural China. The empirical results revealed that the share of inequality of opportunity in individual earnings for the full sample is 20.4% of the GE(0) coefficient. The adoption of machine learning methods provides a wide range of estimates between 16.4% (regression tress) and 25.4% (forests). Across all birth cohorts, gender is consistently the largest single contributor to inequality of opportunity, while family background is relatively more important for younger cohorts. A closer investigation indicates that those who find themselves in the worst circumstances are likely to exert lower level of effort, not because they don’t want to try harder, but because their circumstances prevent them from doing so.     

Gender Discrimination in Earnings in Indonesia: A Fuller Picture

This article analyses data from the 2007 Indonesia Family Life Survey in order to decompose the gender gap in earnings into explained and unexplained gaps, not only at the mean but also across the entire distribution. Women earned about 30% less than men, in both paid work and self-employment. The explained gap accounts for only about a quarter of the gap in paid work but for about half of the gap in self-employment. When the decomposition is made across the earnings distribution, the total gap decreases with earnings in both paid work and self-employment, and both conditional and unconditional on characteristics. In both employment sectors, the explained gap remains similar across the distribution, and therefore the unexplained gap drives the decrease in the total gap. The unconditional decomposition across the distribution provides great insight into the dynamics that are obscured in results derived from decomposition at the mean.     

INVESTIGATING THE GENDER GAP IN SOUTH AFRICAN TRADE UNION MEMBERSHIP: A DECOMPOSITION ANALYSIS

This paper investigates the gender difference in trade union membership among African men and women in South Africa. Using labour force survey data for 2001 and 2007, we show that at least two thirds of the gender gap is explained by differences in union‐related characteristics. When compared with gender differences in personal, household‐ and job‐related characteristics, disparities in job characteristics account for a larger proportion of the gender gap. These findings imply that women would have had higher unionisation rates than men if they possessed male endowments of union‐related characteristics, especially access to unionised jobs.     

Gender Differences in the Giving and Taking Variants of the Dictator Game

We run between‐subject dictator games with exogenously specified “give” or “take” frames involving a balanced pool of male and female dictators and constant payoff possibilities. We find the following: Females allocate more under the taking frame than under the giving frame. Males allocate more under the giving frame than under the taking frame. In the taking frame females are more generous than males. But in the giving frame both are equally generous. Finally, when the combined population of males and females is considered, giving is found to be equivalent to “not taking,” because the opposing gender effects offset each other.