Mobility and Inequality Trends: Volume 30

In large parts of the world, income inequality has been rising in recent decades. Other regions have experienced declining trends in income inequality. This raises the question of which mechanisms underlie contrasting observed trends in income inequality around the globe. To address this research question in an empirical analysis at the aggregate level, we examine a global sample of 73 countries between 1981 and 2010, studying a broad set of drivers to investigate their interaction and influence on income inequality. Within this broad approach, we are interested in the heterogeneity of income inequality determinants across world regions and along the income distribution. Our findings indicate the existence of a small set of systematic drivers across the global sample of countries. Declining labour income shares and increasing imports from high-income countries significantly contribute to increasing income inequality, while taxation and imports from low-income countries exert countervailing effects. Our study reveals the region-specific impacts of technological change, financial globalisation, domestic financial deepening and public social spending. Most importantly, we do not find systematic evidence of education’s equalising effect across high- and low-income countries. Our results are largely robust to changing the underlying sources of income Ginis, but looking at different segments of income distribution reveals heterogeneous effects.

By construction, income inequality measures employed in well-being analysis presume all individual differences to be deleterious to the social good. Yet some differences, for example, those acceptable to all and necessary for optimal resource allocation in producing that well-being, are demonstrably beneficial. Measured inequality is an amalgam of both deleterious or ‘Bad’ and beneficial or ‘Good’ differences, and from both policy and well-being measurement perspectives, distinguishing between types with measures fit for purpose makes sense, especially if the types are taking different paths. Here, as an exemplar, the distinction is explored in considering the progress of human resource, gender, and immigrant status-based personal income differences in twenty-first-century Canada. Categorising human resource-based differences as efficiency promoting ‘Good’ inequalities and gender and immigrant status-based differences as discriminatory and ‘Bad’ reveals that, under all proposed measures, while aggregate and ‘Good’ inequality grew over the sample period, ‘Bad’ inequality diminished, reinforcing the case for inequality measures that are fit for purpose.

Can an estimate of the intergenerational elasticity (IGE) be interpreted as a measure of inequality of opportunity (IOp)? If parental income is the only childhood circumstance, then the answer is yes. However, parental income is one of many potential circumstances that can shape IOp. These circumstances can influence the offspring’s income indirectly – by influencing parental income – or directly, bypassing the IGE altogether. I develop a model to decompose the interaction between childhood circumstances, parental income and offspring income. Using the Panel Study of Income Dynamics for the United States, I find that childhood circumstances account for 55% of the IGE for individual earnings and 53% for family income, with parental education explaining over a third of those shares. Furthermore, the IGE misses a large part of the influence of circumstances: only 45% of the influence of parental education on the offspring’s income goes through parental income (36% for earnings).

This chapter explores the relation between personal well-being – measured with life satisfaction – and intergenerational mobility in Spain (2017). We start by applying machine learning techniques to overcome traditional data limitations and estimate intergenerational income mobility. Then, by means of several econometric specifications, we find the relation between personal well-being and intergenerational income mobility to be non-significant. This result is robust to several measures of educational and occupational mobility. Contrary to the comparison theory, if Spanish citizens derive well-being benefits or losses from intergenerational mobility, these effects are not permanent and dissipate with time. We find other variables, such as enjoying good health, higher income levels and marriage, to be positively associated with life satisfaction. Overall, personal well-being in Spain is more related to materialistic aspects rather than to the comparison of individuals’ current position against the previous generations’ socio-economic status.

Various indicators of income inequality and social welfare can be obtained simply by using the Gini index and the mean income of the population. This paper reviews existing indicators and presents several new indicators of this kind. While contemporary researchers seem to be preoccupied with relative inequality, this paper advocates for using intermediate inequality views and supplementing inequality rankings of countries with rankings based on social welfare. Empirical analysis, performed for 36 European countries, demonstrates such an approach’s advantages.

Economic mobility means different things to different people, but four major classes of mobility measures have been identified in the literature: positional, directional, mobility as an equaliser of long-term earnings, and earnings risk (or flux). We illustrate some advantages of a multifaceted approach by comparing German and American earnings mobility using multiple indices from each of the four major classes for three panels of 10-year intervals. We anticipate and confirm that due to extensive differences in the German and American labour markets and in other social institutions that influence labour market outcomes, each country dominates in one facet of mobility but not in the others. Thus, a multifaceted approach contributes to a better understanding of the strengths and weakness of the two systems.

To explore income inequality in urban China, this paper investigates disparities between- and within-urban locals and rural migrants from 2002 to 2013, using three waves of the China Household Income Project (CHIP) data. While the existing literature concentrates on the wage disparity between these two groups, our results show that the Gini among the migrants increased by 17.86% between 2007 and 2013 and that among the locals increased by 15.54% from 2002 to 2007. The urban–migrant average income gap decreased during the whole period mainly due to higher growth in migrants’ average income. Estimates based on Mincerian earnings functions for both groups reveal the significant role of the education, occupation and type of contract in determining the within-group inequality. In addition, using a recentred influence function (RIF), we observe that short-term and other types of contracts, duration of the job, in-system ownership, marriage and skill have inequality-enhancing effects for migrants. The variation of skills has a larger impact on the income disparity among migrants than on that among urban locals. The RIF-based Blinder–Oaxaca decomposition of the mean difference of incomes shows that labour market discrimination between the two groups is not significant; however, both pure explained and unexplained differences are significant when applying the RIF decomposition to the variance of the logarithms of incomes. While the type of contract significantly reduces the pure explained difference between migrants and urban locals, occupation has a positive impact on this difference between these two groups. The heterogenity analysis shows that the factors influencing incomes in these two groups are different. We recommend labour market intervention to reduce unreasonable occupational and sectoral disparities, especially in the net inflow provinces, to mitigate urban inequality in China effectively.

Regional minimum income (RMI) schemes have been a fundamental tool for fighting poverty in Spain at a regional level. However, the redistributive power of these schemes has not been as effective as was expected in reducing inequality during the last decades. On the other hand, the introduction of the new ‘Minimum Vital Income’ (MVI) by the Spanish Central Government represents a novel measure for fighting poverty, by guaranteeing minimum incomes from a national perspective as a policy response to the asymmetric impact of the COVID-19 crisis upon income distribution. Using EUROMOD,¹ this paper simulates both the distributional effects of the introduction of the MVI and what the effects on inequality and poverty in each Spanish region would be if the national scheme were to substitute the current regional schemes. The results referring to MVI introduction indicate that inequality and poverty would decrease in all dimensions: incidence, intensity, and inequality among the poor (Foster–Greer–Thorbecke poverty measures). Additionally, the negative effects of RMI elimination would be offset by the positive effects of MVI introduction for most regions, leading us to consider that the simulated scenario entails better redistributive results, as well as additional savings for Spanish Public Accounts, in a context of growing debt. Our findings can provide public policy-makers with useful information about the convenience of fighting poverty at a national level as regards distribution and revenue.

This chapter investigates the impact of the COVID-19 pandemic on economic stimulus policies. Based on data from 156 economies, empirical results show that in the medium term, cumulative effect of COVID-19 pandemic is positively correlated with the economic stimulus policies but not in the short term. Heterogeneity tests show that while economic policies are used in developed economies more often, restrictive measures in developing countries are likely used as a substitution; deaths have a positive impact on economic stimulus policies but confirmed cases not. The results suggest that the pandemic may reinforce economic inequality due to potential stimulus policy capabilities, requiring international coordination and assistance to low-and-middle income countries in various aspects.