prediction of poverty, random forest is rarely used. Comparing out-of-sample predictions in surveys for same year in six … selected by stepwise and Lasso), suggesting that this method could contribute to better poverty predictions. However, none of … the methods consistently provides accurate predictions of poverty over time, highlighting that technical model fitting by …

poverty trends in Sri Lanka between 2006 and 2009. Survey-to-survey imputation methods rely on two key assumptions: (i) that … large share of the intertemporal change in household expenditure and poverty. In addition, differences in sampling design … adequately capture changes in poverty. The paper concludes that in Sri Lanka, survey-to-survey imputation between the Household …

Tracking poverty is predicated on the availability of comparable consumption data and reliable price deflators. However … response, poverty prediction methods that track consumption correlates as opposed to consumption itself have been developed … assumption that cannot usually be tested directly. This study analyzes the performance of poverty prediction models based on …