Using micro-data from household expenditure surveys, we document the evolution of consumption poverty in the United … poverty has not declined materially since the 1980s and even increased for the young. We then analyze which social and … economic factors help explain the extent of poverty in the U.S. using probit, tobit, and machine learning techniques. Our …

We analyze the performance of kernel density methods applied to grouped data to estimate poverty (as applied in Sala …-i-Martin, 2006, QJE). Using Monte Carlo simulations and household surveys, we find that the technique gives rise to biases in poverty … estimates, the sign and magnitude of which vary with the bandwidth, the kernel, the number of datapoints, and across poverty …

inform policy by complementing the analysis of standard macro-level measures of inequality and poverty with a household …-level analysis of subjective perceptions of poverty. We find that many more people appear to feel poor than are classified as such …

decline in earnings, extreme poverty and the Gini coefficient based on labor income increased by around 9.2 and 5 percentage … than offset the labor income losses for the bottom four deciles, however, such that poverty relative to the pre … ended in late 2020. The challenge will be to avoid a sharp increase in poverty and inequality if the labor market does not …

Addressing the poverty and distributional impacts of carbon pricing reforms is critical for the success of ambitious … which carbon pricing can potentially affect poverty and inequality. It finds that the channels differ in important ways …