This book is a printed edition of the Special Issue "Econometrics and Income Inequality" that was published in Econometrics

This state-of-the-art volume presents comparative, empirical research on a topic that has long preoccupied scholars, politicians, and everyday citizens: economic inequality. While income and wealth inequality across all populations is the primary focus, the contributions to this book pay special attention to the middle class, a segment often not addressed in inequality literature. Written by leading scholars in the field of economic inequality, all 17 chapters draw on microdata from the databases of LIS, an esteemed cross-national data center based in Luxembourg. Using LIS data to structure a comparative approach, the contributors paint a complex portrait of inequality across affluent countries at the beginning of the 21st century. The volume also trail-blazes new research into inequality in countries newly entering the LIS databases, including Japan, Iceland, India, and South Africa.

Economic inequality has become a focus of prime interest for economic analysts and policy makers. This book provides an integrated approach to the topics of inequality and personal income distribution. It covers the practical and theoretical bases for inequality analysis, applications to real world problems and the foundations of theoretical approaches to income distribution. It also analyses models of the distribution of labour earnings and of income from wealth. The long-run development of income - and wealth - distribution over many generations is also examined. Special attention is given to an assessment of the merits and weaknesses of standard economic models, to illustrating the implications of distributional mechanisms using real data and illustrative examples, and to providing graphical interpretation of formal arguments. Examples are drawn from US, UK and international sources.

This paper analyzes the extent of income inequality from a global perspective, its drivers, and what to do about it. The drivers of inequality vary widely amongst countries, with some common drivers being the skill premium associated with technical change and globalization, weakening protection for labor, and lack of financial inclusion in developing countries. We find that increasing the income share of the poor and the middle class actually increases growth while a rising income share of the top 20 percent results in lower growth—that is, when the rich get richer, benefits do not trickle down. This suggests that policies need to be country specific but should focus on raising the income share of the poor, and ensuring there is no hollowing out of the middle class. To tackle inequality, financial inclusion is imperative in emerging and developing countries while in advanced economies, policies should focus on raising human capital and skills and making tax systems more progressive.

Comprehensive analysis of economic inequality in developed countries. The contributors give their view on the state-of-the-art scientific research in their fields and add their own visions of future research.

We posit that the relationship between income inequality and economic growth is mediated by the level of equality of opportunity, which we identify with intergenerational mobility. In economies characterized by intergenerational rigidities, an increase in income inequality has persistent effects—for example by hindering human capital accumulation— thereby retarding future growth disproportionately. We use several recently developed internationally comparable measures of intergenerational mobility to confirm that the negative impact of income inequality on growth is higher the lower is intergenerational mobility. Our results suggest that omitting intergenerational mobility leads to misspecification, shedding light on why the empirical literature on income inequality and growth has been so inconclusive.

Thomas Piketty's Capital in the Twenty-First Century puts forth a logically consistent explanation for changes in income and wealth inequality patterns. However, while rich in data, the book provides no formal empirical testing for its theoretical causal chain. In this paper, I build a set of Panel SVAR models to check if inequality and capital share in the national income move up as the r-g gap grows. Using a sample of 19 advanced economies spanning over 30 years, I find no empirical evidence that dynamics move in the way Piketty suggests. Results are robust to several alternative estimates of r-g.