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

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...

The transitional economies of the Former Soviet Union (FSU) have enjoyed an extraordinary period of growth and poverty reduction between 2000 and 2007 and this occurred in concomitance with significant increases in private and public transfers to households. The paper assesses the relative...

Do people care about income inequality and does income inequality affect subjective well-being? Welfare theories can predict either a positive or a negative impact of income inequality on subjective well-being and empirical research has found evidence on a positive, negative or non significant...

The Middle East and North Africa (MENA) region is known for having low female labor market participation rates compared with its level of economic development. A possible explanation is that countries in this region do not follow a U-shape relation between female participation and GDP during the...

Household consumption or income surveys do not typically cover refugee populations. In the rare cases where refuges are included, inconsistencies between different data sources could interfere with comparable poverty estimates. We test the performance of a recently developed cross-survey...