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of 26
pro vyhledávání: '"Bedoya, Guadalupe"'
Can mobile phone data improve program targeting? By combining rich survey data from a "big push" anti-poverty program in Afghanistan with detailed mobile phone logs from program beneficiaries, we study the extent to which machine learning methods can
Externí odkaz:
http://arxiv.org/abs/2206.11400
Publikováno v:
In Journal of Development Economics March 2023 161
Can mobile phone data improve program targeting By combining rich survey data from the baseline of a “big push” anti-poverty program in Afghanistan implemented in 2016 with detailed mobile phone logs from program beneficiaries, this paper studies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2456::cf6fdbdb50c329d8290ab75c7990745a
https://hdl.handle.net/10986/38491
https://hdl.handle.net/10986/38491
Publikováno v:
NBER Working Papers; May2023, Issue 31184-31281, p1-42, 42p
Autor:
Milusheva, Sveta, Marty, Robert, Bedoya, Guadalupe, Williams, Sarah, Resor, Elizabeth, Legovini, Arianna
With all the recent attention focused on big data, it is easy to overlook that basic vital statistics remain difficult to obtain in most of the world. This project set out to test whether an openly available dataset (Twitter) could be transformed int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2456::8e5073f8a411aa793ce22031d727d676
https://hdl.handle.net/10986/34910
https://hdl.handle.net/10986/34910
Autor:
Bedoya, Guadalupe1, Dolinger, Amy1, Rogo, Khama2, Mwaura, Njeri2, Wafula, Francis2, Coarasa, Jorge3, Goicoechea, Ana4, Jishnu Das1 jdas1@worldbank.org
Publikováno v:
Bulletin of the World Health Organization. Jul2017, Vol. 95 Issue 7, p503-516. 14p. 7 Charts, 2 Graphs.
Akademický článek
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The share of people living in extreme poverty fell from 36 percent in 1990 to 10 percent in 2015 but has continued to increase in many fragile and conflict-affected areas where half of the extreme poor are expected to reside by 2030. These areas are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2456::a396039bb1da2aae4b0603ec870f7e8d
https://hdl.handle.net/10986/31867
https://hdl.handle.net/10986/31867
Program evaluations often focus on average treatment effects. However, average treatment effects miss important aspects of policy evaluation, such as the impact on inequality and whether treatment harms some individuals. A growing literature develops
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c4b7e6b083bf9558b21ca9642dd0fe29
https://hdl.handle.net/10986/27642
https://hdl.handle.net/10986/27642
Akademický článek
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