The Gini index, a widely used economic inequality measure, is computed using data whose designs involve clustering and stratification, generally known as complex household surveys. Under complex household survey, we develop two novel procedures for estimating Gini index with a pre-specified...

We analyse the UK policy response to Covid-19 and its impact on household incomes, as of late April 2020, using microsimulation methods. We estimate that households will lose a substantial share of their net income (8% on average). The proportional losses are largest for higher-income families....

We synthesize the findings from several recent papers on South Africa's very high income inequality. These papers use new datasets—including income tax data—and new empirical methods to investigate the drivers of household income and individual earnings inequality in South Africa. Increased...

In this paper we explore the income data in two surveys that underpin a South African tax-benefit microsimulation model. The simulated taxes and benefits using each dataset are compared with each other and with administrative data for a common time point. We explore discrepancies between the...

There is increasing scholarly evidence that financialization has contributed to rising income inequality, especially by concentrating income among the affluent and rich. There is less empirical research examining who is losing out to the affluent. This paper fills this gap by examining how three...

This introductory chapter provides background to and summarizes key findings from the chapters in this book, all of which share in common their use of household data from the latest round of the China Household Income Project (CHIP) survey to analyze recent trends in inequality in China. We...