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Estimating Poverty Using Cell Phone Data: Evidence from Guatemala
5 references·4 citing·39 second hop
Estimating Poverty Using Cell Phone Data: Evidence from Guatemala (2017)Estimating Poverty Using Cell Phone Data:…Predicting poverty and wealth from mobile phone metadata (2015)Predicting poverty and wealth…Poverty in a Rising Africa (2015)Poverty in a Rising AfricaA survey of results on mobile phone datasets analysis (2015)A survey of results on mobile…A Gender-Centric Analysis of Calling Behavior in a Developing Economy Using Call Detail Records (2010)A Gender-Centric Analysis of …Micro-Level Estimation of Poverty and Inequality (2003)Micro-Level Estimation of Pov…The geography of connectivity: a review of mobile positioning data for economic geography (2022)The geography of connectivity…Program targeting with machine learning and mobile phone data: Evidence from an anti-poverty intervention in Afghanistan (2022)Program targeting with machin…Using big data for evaluating development outcomes: A systematic map (2021)Using big data for evaluating…Urban geographical patterns of the relationship between mobile communication, social networks and economic development – the case of Hungary (2021)Urban geographical patterns o…Poverty: An Ordinal Approach to Measurement (1976)The analysis of household surveys (1997)Crime and Local Inequality in South Africa (2002)Review of Economic Studies (2010)Assessing Asset Indices (2011)Aid Under Fire: Development Projects and Civil Conflict (2014)The Strength of Weak Ties (1973)Power-Law Distributions in Empirical Data (2009)A multi-source dataset of urban life in the city of Milan and the Province of Trentino (2015)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Power-law distributions in empirical data (2018)The universal visitation law of human mobility (2021)Estimating wealth effects without expenditure data—or tears: An application to educational enrollments in states of India (2001)Understanding individual human mobility patterns (2008)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States (2017)Economic Growth and Income Inequality (2019)Social physics (2022)Big data: The next frontier for innovation, competition, and productivity (2011)The Sustainable Development Goals Report 2019 (2019)Artificial Intelligence and Automation in Evidence Synthesis: An Investigation of Methods Employed in Cochrane, Campbell Collaboration, and Environmental Evidence Reviews (2025)Economic Action and Social Structure: The Problem of Embeddedness (1985)Birds of a Feather: Homophily in Social Networks (2001)Digital Natives, Digital Immigrants Part 1 (2001)Formal urbanisation in East-Central Europe (2024)Mobile Phone Use as Part of Young People's Consumption Styles (2003)Social ties and their relevance to churn in mobile telecom networks (2008)A study of age and gender seen through mobile phone usage patterns in Mexico (2014)MobiScore: Towards Universal Credit Scoring from Mobile Phone Data (2015)Computational socioeconomics (2019)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)Clusters and knowledge: local buzz, global pipelines and the process of knowledge creation (2004)Exploring the Urban Structure of Recreational Spaces through Residents’ Mobility Behavior Using Mobile Phone Signaling Data (2025)Multidimensional Poverty Measurement and Analysis (2015)Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle (2020)Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance (2021)The Impact of Food Prices on Poverty and Food Security (2016)Combining disparate data sources for improved poverty prediction and mapping (2017)Gender Matters: Climate Change, Gender Bias, and Women’s Farming in the Global South and North (2020)
this work references cited by second hop

References

  • 2003Micro-Level Estimation of Poverty and Inequality936 cited
  • 2015Predicting poverty and wealth from mobile phone metadata700 cited
  • 2015A survey of results on mobile phone datasets analysis652 cited
  • 2015Poverty in a Rising Africa427 cited
  • 2010A Gender-Centric Analysis of Calling Behavior in a Developing Economy Using Call Detail Records44 cited

Cited by

  • 2022Program targeting with machine learning and mobile phone data: Evidence from an anti-poverty intervention in Afghanistan44 cited
  • 2021Using big data for evaluating development outcomes: A systematic map13 cited
  • 2021Urban geographical patterns of the relationship between mobile communication, social networks and economic development – the case of Hungary12 cited
  • 2022The geography of connectivity: a review of mobile positioning data for economic geography8 cited

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