English

Measuring poverty in India with machine learning and remote sensing

General Economics 2022-10-28 v2 Computers and Society Economics
Authors: Adel Daoud , Felipe Jordan , Makkunda Sharma , Fredrik Johansson , Devdatt Dubhashi , Sourabh Paul , Subhashis Banerjee
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Abstract

In this paper, we use deep learning to estimate living conditions in India. We use both census and surveys to train the models. Our procedure achieves comparable results to those found in the literature, but for a wide range of outcomes.

Keywords

machine learning in economics

Cite

@article{arxiv.2202.00109,
  title  = {Measuring poverty in India with machine learning and remote sensing},
  author = {Adel Daoud and Felipe Jordan and Makkunda Sharma and Fredrik Johansson and Devdatt Dubhashi and Sourabh Paul and Subhashis Banerjee},
  journal= {arXiv preprint arXiv:2202.00109},
  year   = {2022}
}

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