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Emily Aiken

University of California, Berkeley

310 Barrows Hall

Berkeley, CA 94720

United States

  • University of California, Berkeley

SCHOLARLY PAPERS

3

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366

TOTAL CITATIONS
Rank 24,425

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Top 24,425

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13

Scholarly Papers (3)

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1.

Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance

Downloads 222 (348,255)
Citation 11

Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance

Global Poverty Research Lab Working Paper No. 21-109
Number of pages: 58 Posted: 22 Jul 2021
Emily Aiken, Suzanne Bellue, Dean Karlan, Christopher Udry and Joshua Evan Blumenstock
University of California, Berkeley, CREST-ENSAE, Northwestern University, Northwestern University and University of California, Berkeley
Downloads 147 (512,207)

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machine learning, big data, targeting, social assistance

Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance

NBER Working Paper No. w29070
Number of pages: 91 Posted: 26 Jul 2021 Last Revised: 07 Jun 2023
Emily Aiken, Suzanne Bellue, Dean Karlan, Christopher Udry and Joshua Evan Blumenstock
University of California, Berkeley, CREST-ENSAE, Northwestern University, Northwestern University and University of California, Berkeley
Downloads 73 (871,518)
Citation 6

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Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance

CEPR Discussion Paper No. DP16385
Number of pages: 61 Posted: 22 Sep 2021
Emily Aiken, Suzanne Bellue, Joshua Evan Blumenstock, Dean S. Karlan, Dean S. Karlan and Christopher Udry
University of California, Berkeley, CREST-ENSAE, University of California, Berkeley, Yale UniversityNorthwestern University - Kellogg School of Management and Northwestern University
Downloads 2 (1,657,086)
Citation 5
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Machine Learning, mobile phone data, poverty, targeting

2.

Estimating Impact with Surveys versus Digital Traces: Evidence from Randomized Cash Transfers in Togo

Number of pages: 55 Posted: 05 Oct 2023 Last Revised: 25 Oct 2023
Emily Aiken, Suzanne Bellue, Joshua Evan Blumenstock, Dean Karlan and Christopher Udry
University of California, Berkeley, CREST-ENSAE, University of California, Berkeley, Northwestern University and Northwestern University
Downloads 109 (664,543)

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Cash Transfer Program, Poverty, Mental Health, Randomized Control Trial, Machine Learning, Cross Sectional Analysis

3.

Estimating Impact with Surveys versus Digital Traces: Evidence from Randomized Cash Transfers in Togo

NBER Working Paper No. w31751
Number of pages: 56 Posted: 10 Oct 2023 Last Revised: 16 Oct 2024
Emily Aiken, Suzanne Bellue, Joshua Evan Blumenstock, Dean Karlan and Christopher Udry
University of California, Berkeley, CREST-ENSAE, University of California, Berkeley, Northwestern University and Northwestern University
Downloads 35 (1,249,711)
Citation 2

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