Incomes in surveys suffer from various measurement problems, most notably in the tails of their distributions. We study the prevalence of negative and zero incomes, and their implications for inequality and poverty measurement relying on 57 harmonized surveys covering 12 countries over the...

Household consumption surveys do not typically cover refugee populations, and poverty estimates for refugees are rare. This paper tests the performance of cross-survey imputation methods to estimate poverty for a sample of refugees in Chad, by combining United Nations High Commissioner for...

The paper reviews the literature that estimated the impact of forced displacement on host communities. A comparative analysis of the empirical models used in 59 studies and a meta-analysis of 972 results collected from these studies are the main contributions of the paper. Coverage extends to 19...

The paper provides initial evidence that excess mortality rates by locality can be used as a statistically reliable predictor of looming mortality crises. Using recently published daily deaths figures for 7,357 Italian municipalities, we estimate the growth in daily mortality rates between the...

The measurement of income inequality is affected by missing observations, espe- cially if they are concentrated on the tails of an income distribution. This paper conducts an experiment to test how the different correction methods proposed by the statistical, econometric and machine learning...

The paper discusses the main issues related to negative and zero incomes that are relevant for the measurement of poverty. It shows the prevalence of non-positive incomes in high- and middle-income countries, provides an analysis of the sources and structure of these incomes, outlines the...

Hardly any evidence currently exists on the causal effects of mental illness on refugee labor market outcomes. We offer the first study on this topic in the context of Australia, one of the host countries with the largest number of refugees per capita in the world. Analyzing the Building a New...

Poverty prediction models are used by economists to address missing data issues in a variety of contexts such as poverty profiling, targeting with proxy-means tests, cross-survey imputations such as poverty mapping, or vulnerability analyses. Based on the models used by this literature, this...

Poverty measurement among forcibly displaced populations, including refugees and internally displaced persons, has been, for long, neglected by the economics profession and by poverty specialists working across the social sciences. This has changed since the beginning of the Syrian conflict in...

OLS models are the predominant choice for poverty predictions in a variety of contexts such as proxy-means tests, poverty mapping or cross-survey impu- tations. This paper compares the performance of econometric and machine learning models in predicting poverty using alternative objective...