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Suzanne Bellue

Personal Details

First Name:Suzanne
Middle Name:
Last Name:Bellue
Suffix:
RePEc Short-ID:pbe1361
[This author has chosen not to make the email address public]
https://suzannebellue.github.io
Terminal Degree:2023 (from RePEc Genealogy)

Affiliation

Centre de Recherche en Économie et Statistique (CREST)

Palaiseau, France
http://crest.science/
RePEc:edi:crestfr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Suzanne Bellue & Lukas Mahler, 2024. "Efficiency and Equity of Education Tracking A Quantitative Analysis," CRC TR 224 Discussion Paper Series crctr224_2024_546, University of Bonn and University of Mannheim, Germany.
  2. Suzane Bellue, 2023. "Why Don’t Poor Families Move? A Spatial Equilibirum Analysis of Parental Decisions with Social Learning," CRC TR 224 Discussion Paper Series crctr224_2023_472, University of Bonn and University of Mannheim, Germany.
  3. Suzanne Bellue & Adrien Bouguen & Marc Gurand & Valerie Munier & André Tricot, 2023. "When Effective Teacher Training Falls Short in the Classroom: Evidence from an Experiment in Primary Schools," CRC TR 224 Discussion Paper Series crctr224_2023_455, University of Bonn and University of Mannheim, Germany.
  4. Emily Aiken & Suzanne Bellue & Joshua Blumenstock & Dean Karlan & Christopher R. Udry, 2023. "Estimating Impact with Surveys versus Digital Traces: Evidence from Randomized Cash Transfers in Togo," NBER Working Papers 31751, National Bureau of Economic Research, Inc.
  5. Blumenstock, Joshua & Aiken, Emily & Bellue, Suzanne & Udry, Christopher & Karlan, Dean, 2021. "Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance," CEPR Discussion Papers 16385, C.E.P.R. Discussion Papers.

Articles

  1. Emily Aiken & Suzanne Bellue & Dean Karlan & Chris Udry & Joshua E. Blumenstock, 2022. "Machine learning and phone data can improve targeting of humanitarian aid," Nature, Nature, vol. 603(7903), pages 864-870, March.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Suzanne Bellue & Lukas Mahler, 2024. "Efficiency and Equity of Education Tracking A Quantitative Analysis," CRC TR 224 Discussion Paper Series crctr224_2024_546, University of Bonn and University of Mannheim, Germany.

    Cited by:

    1. Dirk Krueger & Alexander Ludwig & Irina Popova, 2024. "Shaping Inequality and Intergenerational Persistence of Poverty: Free College or Better Schools," PIER Working Paper Archive 24-023, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

  2. Blumenstock, Joshua & Aiken, Emily & Bellue, Suzanne & Udry, Christopher & Karlan, Dean, 2021. "Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance," CEPR Discussion Papers 16385, C.E.P.R. Discussion Papers.

    Cited by:

    1. Di Maio, Michele & Fasani, Francesco & Sciabolazza, Valerio Leone & Molini, Vasco, 2022. "Facing Displacement and a Global Pandemic: Evidence from a Fragile State," IZA Discussion Papers 15134, Institute of Labor Economics (IZA).
    2. Ola Hall & Francis Dompae & Ibrahim Wahab & Fred Mawunyo Dzanku, 2023. "A review of machine learning and satellite imagery for poverty prediction: Implications for development research and applications," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(7), pages 1753-1768, October.
    3. Peter Christensen & Paul Francisco & Erica Myers & Hansen Shao & Mateus Souza, 2022. "Energy Efficiency Can Deliver for Climate Policy: Evidence from Machine Learning-Based Targeting," NBER Working Papers 30467, National Bureau of Economic Research, Inc.
    4. Miguel, Edward & Mobarak, Ahmed Mushfiq, 2022. "The Economics of the COVID-19 Pandemic in Poor Countries," Department of Economics, Working Paper Series qt0191q2qs, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    5. Vu, Khoa & Vuong, Nguyen Dinh Tuan & Vu-Thanh, Tu-Anh & Nguyen, Anh Ngoc, 2022. "Income shock and food insecurity prediction Vietnam under the pandemic," World Development, Elsevier, vol. 153(C).
    6. Anders Christensen & Joel Ferguson & Sim'on Ram'irez Amaya, 2022. "Incorporating High-Frequency Weather Data into Consumption Expenditure Predictions," Papers 2211.01406, arXiv.org.

Articles

  1. Emily Aiken & Suzanne Bellue & Dean Karlan & Chris Udry & Joshua E. Blumenstock, 2022. "Machine learning and phone data can improve targeting of humanitarian aid," Nature, Nature, vol. 603(7903), pages 864-870, March.

    Cited by:

    1. Aysegül Kayaoglu & Ghassan Baliki & Tilman Brück & Melodie Al Daccache & Dorothee Weiffen, 2023. "How to conduct impact evaluations in humanitarian and conflict settings," HiCN Working Papers 387, Households in Conflict Network.
    2. Oeindrila Dube & Joshua E. Blumenstock & Michael Callen & Michael J. Callen, 2022. "Measuring Religion from Behavior: Climate Shocks and Religious Adherence in Afghanistan," CESifo Working Paper Series 10114, CESifo.
    3. Beuermann, Diether & Hoffmann, Bridget & Stampini, Marco & Vargas, David & Vera-Cossio, Diego A., 2024. "Shooting a Moving Target: Choosing Targeting Tools for Social Programs," IDB Publications (Working Papers) 13359, Inter-American Development Bank.
    4. Federico Crippa, 2024. "Regret Analysis in Threshold Policy Design," Papers 2404.11767, arXiv.org.
    5. Abay, Kibrom A. & Yonzan, Nishant & Kurdi, Sikandra & Tafere, Kibrom, 2022. "Revisiting poverty trends and the role of social protection systems in Africa during the COVID-19 pandemic," IFPRI discussion papers 2142, International Food Policy Research Institute (IFPRI).
    6. Fisker,Peter Simonsen & Gallego-Ayala,Jordi Jose & Malmgren Hansen,David & Pave Sohnesen,Thomas & Murrugarra,Edmundo, 2022. "Guiding Social Protection Targeting Through Satellite Data in São Tomé and Príncipe," Social Protection Discussion Papers and Notes 177340, The World Bank.
    7. Flores Lanza, Micaela & Leonard, Alycia & Hirmer, Stephanie, 2024. "Geospatial and socioeconomic prediction of value-driven clean cooking uptake," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    8. Till Koebe & Alejandra Arias-Salazar & Timo Schmid, 2023. "Releasing survey microdata with exact cluster locations and additional privacy safeguards," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    9. Rose Camille Vincent & Stephan Dietrich & Kyle McNabb, 2023. "Compliance rates with local and national business taxes: Evidence from Kampala, Uganda," WIDER Working Paper Series wp-2023-134, World Institute for Development Economic Research (UNU-WIDER).
    10. Yuko Okamura & Tim Ohlenburg & Emil Tesliuc, 2024. "Scaling up Social Assistance Where Data is Scarce : Opportunities and Limits of Novel Data and AI," Social Protection Discussion Papers and Notes 189993, The World Bank.
    11. Adel Daoud & Felipe Jordán & Makkunda Sharma & Fredrik Johansson & Devdatt Dubhashi & Sourabh Paul & Subhashis Banerjee, 2023. "Using Satellite Images and Deep Learning to Measure Health and Living Standards in India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 167(1), pages 475-505, June.
    12. Chowdhury, Shyamal & Hasan, Syed & Sharma, Uttam, 2024. "The Role of Trainee Selection in the Effectiveness of Vocational Training: Evidence from a Randomized Controlled Trial in Nepal," IZA Discussion Papers 16705, Institute of Labor Economics (IZA).
    13. Tao Qi & Fangzhao Wu & Chuhan Wu & Liang He & Yongfeng Huang & Xing Xie, 2023. "Differentially private knowledge transfer for federated learning," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    14. Verme, Paolo, 2023. "Predicting Poverty with Missing Incomes," GLO Discussion Paper Series 1260, Global Labor Organization (GLO).
    15. Aiken, Emily L. & Bedoya, Guadalupe & Blumenstock, Joshua E. & Coville, Aidan, 2023. "Program targeting with machine learning and mobile phone data: Evidence from an anti-poverty intervention in Afghanistan," Journal of Development Economics, Elsevier, vol. 161(C).
    16. Martina Jakob & Sebastian Heinrich, 2023. "Measuring Human Capital with Social Media Data and Machine Learning," University of Bern Social Sciences Working Papers 46, University of Bern, Department of Social Sciences.
    17. Juan Carlos Perdomo, 2023. "The Relative Value of Prediction in Algorithmic Decision Making," Papers 2312.08511, arXiv.org, revised May 2024.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 7 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-URE: Urban and Real Estate Economics (5) 2023-09-18 2023-09-25 2024-03-04 2024-04-01 2024-07-08. Author is listed
  2. NEP-DGE: Dynamic General Equilibrium (3) 2024-03-04 2024-04-01 2024-07-08. Author is listed
  3. NEP-BIG: Big Data (2) 2021-08-23 2023-11-06. Author is listed
  4. NEP-EXP: Experimental Economics (2) 2023-09-18 2023-09-25. Author is listed
  5. NEP-CMP: Computational Economics (1) 2021-08-23
  6. NEP-HEA: Health Economics (1) 2023-11-06
  7. NEP-ISF: Islamic Finance (1) 2021-08-23
  8. NEP-LMA: Labor Markets - Supply, Demand, and Wages (1) 2024-07-08
  9. NEP-PAY: Payment Systems and Financial Technology (1) 2021-08-23

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