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...

This paper attempts to explicitly integrate the idea of reference group when measuring relative deprivation. It assumes that in assessing her situation in society an individual compares herself with individuals whose environment can be considered as being similar to hers. By environment we mean...

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 paper proposes a simple framework for the evaluation of anti-poverty programs based on single means differences, FGT poverty measures and stochastic dominance theory. A Treatment Effect Curve (TEC) is derived and its use illustrated with simulated data

The paper proposes a simple framework for the evaluation of anti-poverty programs based on single means differences, FGT poverty measures and stochastic dominance theory. A Treatment Effect Curve (TEC) is derived and its use illustrated with simulated data.

The paper proposes a simple framework for the evaluation of anti-poverty programs based on single means differences, FGT poverty measures and stochastic dominance theory. A Treatment Effect Curve (TEC) is derived and its use illustrated with simulated data.

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...