Household consumption surveys do not typically cover refugee populations, and poverty estimates for refugees are rare. This paper tests the performance of a recently developed cross-survey imputation method to estimate poverty for a sample of refugees in Chad, combining survey and administrative...

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...

Why do different population groups (e.g. rural vs. urban, youth vs. elderly and men vs. women) experience the same objective labor status differently? One hypothesis is that people are more concerned with relative deprivation than objective deprivation and they value their own status relative to...

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...

The increasing growth of forced displacement worldwide has led to the stronger interest of various stakeholders in measuring poverty among refugee populations. However, refugee data remain scarce, particularly in relation to the measurement of income, consumption, or expenditure. This paper...