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pro vyhledávání: '"Blumenstock Joshua E."'
Autor:
Kahn, Zoe, Pere, Meyebinesso Farida Carelle, Aiken, Emily, Kohli, Nitin, Blumenstock, Joshua E.
Passively collected "big" data sources are increasingly used to inform critical development policy decisions in low- and middle-income countries. While prior work highlights how such approaches may reveal sensitive information, enable surveillance, a
Externí odkaz:
http://arxiv.org/abs/2409.17578
Autor:
Blumenstock, Joshua E., Kohli, Nitin
The data revolution in low- and middle-income countries is quickly transforming how companies approach emerging markets. As mobile phones and mobile money proliferate, they generate new streams of data that enable innovation in consumer finance, cred
Externí odkaz:
http://arxiv.org/abs/2310.04970
When a policy prioritizes one person over another, is it because they benefit more, or because they are preferred? This paper develops a method to uncover the values consistent with observed allocation decisions. We use machine learning methods to es
Externí odkaz:
http://arxiv.org/abs/2206.00727
Phone sharing is pervasive in many low- and middle-income countries, affecting how millions of people interact with technology and each other. Yet there is very little quantitative evidence available on the extent or nature of phone sharing in resour
Externí odkaz:
http://arxiv.org/abs/2111.00175
Many critical policy decisions, from strategic investments to the allocation of humanitarian aid, rely on data about the geographic distribution of wealth and poverty. Yet many poverty maps are out of date or exist only at very coarse levels of granu
Externí odkaz:
http://arxiv.org/abs/2104.07761
Mobile phone-based sports betting has exploded in popularity in many African countries. Commentators worry that low-ability gamblers will not learn from experience, and may rely on debt to gamble. Using data on financial transactions for over 50 000
Externí odkaz:
http://arxiv.org/abs/2011.00432
An increasing number of decisions are guided by machine learning algorithms. In many settings, from consumer credit to criminal justice, those decisions are made by applying an estimator to data on an individual's observed behavior. But when conseque
Externí odkaz:
http://arxiv.org/abs/2004.03865
Akademický článek
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Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2022 Aug 01. 119(32), 1-10.
Externí odkaz:
https://www.jstor.org/stable/27171403
Publikováno v:
In Journal of Development Economics March 2023 161