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Energy poverty affects billions worldwide, including people in developed and developing countries. Identifying those … living in energy poverty and implementing successful solutions require timely and detailed survey data, which can be costly …. In doing so, this research develops a machine learning-based approach to predicting energy poverty in the UK using the …
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We investigate the accuracy of ex ante assessments of vulnerability to poverty using cross-sectional data and panel … vulnerability predictions is limited even when panel data are used. In part this low accuracy is due to low poverty incidence and … high mobility. -- vulnerability ; poverty ; ROC ; German panel data …
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