Another legacy of the COVID-19 pandemic: Income divergence

The uneven economic recovery from the pandemic-induced global recession of 2020 is expected to disrupt a multi-decade trend of per capita income convergence between advanced and emerging market and developing economies (EMDEs). This stands in contrast to the global recession following the global financial crisis. Should downside risks to the global recovery, in particular financial market stress, materialize, they are likely to set back growth in EMDEs more than in advanced economies in part because of the more limited policy space remaining in EMDEs, and would further widen per capita income divergence.     

Beyond Piketty: A new perspective on poverty and inequality in India

The socio-economic literature has focused much on how overall inequality in income distribution (frequently measured by the Gini coefficient) undermines the “trickle down” effect. In other words, the higher the inequality in the income distribution, the lower is the growth elasticity of poverty. However, with the publication of Piketty’s magnum opus (2014), and a subsequent study by Chancel and Piketty (2017) of evolution of income inequality in India since 1922, the focus has shifted to the income disparity between the richest 1% (or 0.01%) and the bottom 50%. Their central argument is that the rapid growth of income at the top end of millionaires and billionaires is a by-product of growth. The present study extends this argument by linking it to poverty indices in India. Based on the India Human Development Survey 2005–12 – a nationwide panel survey-we examine the links between poverty and income inequality, especially in the upper tail relative to the bottom 50%, state affluence (measured in per capita income) and their interaction or their joint effect. Another feature of our research is that we analyse their effects on the FGT class of poverty indices. The results are similar in as much as direction of association is concerned but the elasticities vary with the poverty index. The growth elasticities are negative and significant for all poverty indices. In all three cases, the disparity between the income share of the top 1% and share of the bottom 50% is associated with greater poverty. These elasticities are much higher than the (absolute) income elasticities except in the case of the poverty gap. The largest increase occurs in the poverty gap squared – a 1% greater income disparity is associated with a 1.24% higher value of this index. Thus the consequences of even a small increase in the income disparity are alarming for the poorest.     

The myth of price convergence under economic integration: A proposed explanation for the difference in food prices across European countries

Conventional globalization theory states that regional economic integration will precede price standardization across participating countries due to the increased buying power of large retail groups and parallel imports. The resulting price corridor should merely reflect differences in logistic costs and short-term, local competitive actions. Yet, this study uses panel data from 25 European countries to examine how hefty food and beverage price differentials between regions remained constant over the last decade. Income, store productivity, and market concentration all contribute to the explanation for regional price differences. These findings suggest that, contrary to straight-line globalization theory, large European retailers’ decisions can influence price convergence and maintain important price dispersion between economically integrated countries. We provide recommendations to enhance market integration.     

Unemployment and men's entrance into female-dominated jobs

Despite the contraction of many male-dominated occupations, men have made limited progress in entering female-dominated jobs. Using monthly employment histories from the SIPP, we examine whether individual economic conditions—such as a period of unemployment—are associated with men subsequently pursuing female-dominated work. Specifically, we ask whether men are more likely to enter female-dominated jobs after unemployment, compared to men who take a new job directly from employment. We find that unemployment significantly increases the odds of men entering female-dominated work among men who make job transitions. By examining changes in occupational prestige as well as wage differences before and after unemployment, we also find that entering a female-dominated job (compared to other job types) may help men mitigate common scarring effects of unemployment such as wage losses and occupational prestige downgrades. Accordingly, this study reveals a critical occupational route that may allow men to remain upwardly mobile after involuntary unemployment.     

Theorizing income inequality in the face of financial globalization

Based on an extended post-Keynesian model, we find that the association between the savings rate and income inequality is negative if savers’ funds are borrowed by spending households for consumption but positive if savings are channeled to investing firms for production. A negative association, such as the one that exists in the U.S., hinges on an income illusion created by an asset bubble and cheap credit. Thus, financial globalization leads consumption and income inequality to diverge, and the divergence is more extreme if lower-income groups have higher debt ratios. A positive association, such as the one that exists in China, relates to liquidity constraints faced by consumers such that consumption inequality closely follows income inequality. Our results imply that income inequality must be reduced in both types of countries to increase savings in deficit economies with negative associations and to reduce savings in surplus economies with positive associations.     

Impact of socio-economic infrastructure investments on income inequality in Iran

One of the main subjects, governments have been facing is fair distribution of income, and making effort to improve it. In this study, we evaluated the effects of economic (energy, water, ICT) and social (health, education) infrastructure expenses on income inequality in the Iranian provinces for the period of 2007–2016 by the panel corrected standard errors (PCSE) model. The results show that social and economic infrastructures improvements reduce income inequality. However, the magnitude of these effects varies. Investment on education, healthcare, communication technology, energy, and water infrastructures has the greatest impact on income inequality reduction, respectively. Therefore, in order to reduce inequality in deprived areas, combination and optimal allocation of economic and social infrastructures should be considered.     

出口产品质量与技能溢价：理论机制及中国证据

本文基于出口产品“质”的视角，理论阐释并实证检验出口产品质量对技能溢价的影响及其作用机制。研究发现：出口产品质量提高显著提升了劳动力技能溢价，这种提升效应在高技术行业更为明显；出口产品质量升级主要通过增加对高技能劳动力相对需求、改善企业利润和绩效等机制提升技能溢价，但出口产品质量影响技能溢价的产品价格机制未得到验证；技能溢价与高技能劳动力供给之间呈倒“U”型关系。因此，为防止出口产品质量升级加剧技能工资不平等，需要采取加强人力资本投资、增加高素质劳动力供给、完善与高质量外贸发展相适应的相对公平的收入分配政策等措施。     

A Unified Approach to Estimating and Testing Income Distributions With Grouped Data

We propose a unified approach that is flexibly applicable to various types of grouped data for estimating and testing parametric income distributions. To simplify the use of our approach, we also provide a parametric bootstrap method and show its asymptotic validity. We also compare this approach with existing methods for grouped income data, and assess their finite-sample performance by a Monte Carlo simulation. For empirical demonstrations, we apply our approach to recovering China's income/consumption distributions from a sequence of income/consumption share tables and the U.S. income distributions from a combination of income shares and sample quantiles. Supplementary materials for this article are available online.     

A class of partially linear transformation models for recurrent gap times

In this article, we propose a general class of partially linear transformation models for recurrent gap time data, which extends the linear transformation models by incorporating non linear covariate effects and includes the partially linear proportional hazards and the partially linear proportional odds models as special cases. Both global and local estimating equations are developed to estimate the parametric and non parametric covariate effects, and the asymptotic properties of the resulting estimators are established. The finite-sample behavior of the proposed estimators is evaluated through simulation studies, and an application to a clinic study on chronic granulomatous disease is provided.