This paper develops a new imputation methodology applied to missing incomes values in PNAD. PNAD is the main Brazilian household survey, but it has no imputation. The imputation process starts by fitting regression models applied to different income sources considering the complex sampling...

This study evaluates which type of benefit-a universal benefit, a proxy mean-tested benefit, or a categorical benefit- better cushions the poverty effects of income shocks in a developing economy. We compare the effectiveness of the three benefit schemes on poverty first conceptually and then by...

This paper uses the data gained from an income categorization experiment for five shapes of income distributions to investigate background context effects, relative deprivation, range-frequency theory to explain background context effects, individual income satisfaction versus aggregate...

Typical welfare and inequality measures are required to be Lorenz consistent which guarantees that inequality decreases and welfare increases as a result of a progressive transfer. We explore the implications for welfare and inequality measurement of substituting the weaker absolute...

By using the five waves of the China Household Income Project surveys conducted during 1988-2013, this paper investigates long-term changes in income inequality and poverty in China. Income inequality rose before 2007 and then fell by a small amount. The main reason for the rise in income...

Between 1991 and 2015, the real disposable, needs-adjusted income of persons in private households in Germany rose by 15 percent on average. The majority of the population has benefited from the growth in real income, but the groups at the lower end of the income distribution have not....

The number of employed persons in Germany has grown by over five million since 2000, in part due to an increase in immigration. This development is reflected in private household income, which has increased by 12 percent over the same period. Since 2013, all income groups have been benefiting...