Predicting poverty and wealth from mobile phone metadata

@article{Blumenstock2015PredictingPA,
  title={Predicting poverty and wealth from mobile phone metadata},
  author={Joshua Evan Blumenstock and Gabriel Cadamuro and Robert On},
  journal={Science},
  year={2015},
  volume={350},
  pages={1073-1076}
}
Accurate and timely estimates of population characteristics are a critical input to social and economic research and policy. In industrialized economies, novel sources of data are enabling new approaches to demographic profiling, but in developing countries, fewer sources of big data exist. We show that an individual’s past history of mobile phone use can be used to infer his or her socioeconomic status. Furthermore, we demonstrate that the predicted attributes of millions of individuals can… CONTINUE READING
Highly Cited
This paper has 204 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 68 extracted citations

204 Citations

05010020152016201720182019
Citations per Year
Semantic Scholar estimates that this publication has 204 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-3 of 3 references

Benefits and costs of the data for development targets for the post-2015 development agenda,” in Data for Development Assessment Paper (Copenhagen

M. Jerven
Consensus Center, • 2014
View 1 Excerpt

Poor Numbers: How We Are Misled by African Development Statistics and What to Do About It (Cornell

M. Jerven
2013
View 1 Excerpt

Virseda, in Proceedings of the Fifth International Conference on Information and Communication Technologies and Development (Association for Computing Machinery

J. V. Frias-Martinez
New York, • 2012
View 1 Excerpt

Similar Papers

Loading similar papers…