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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 & Matthias Doepke & Michele Tertilt, 2026. "Private Information in the Family," CRC TR 224 Discussion Paper Series crctr224_2025_738, University of Bonn and University of Mannheim, Germany.
  2. Suzanne Bellue, 2026. "Residential and Social Mobility: A Quantitative Analysis of Parental Decisions with Social Learning," RFBerlin Discussion Paper Series 26100, ROCKWOOL Foundation Berlin (RFBerlin).
  3. 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.
  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. 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.
  6. 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.
  7. 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. Aiken, Emily & Bellue, Suzanne & Blumenstock, Joshua E. & Karlan, Dean & Udry, Christopher, 2025. "Estimating impact with surveys versus digital traces: Evidence from randomized cash transfers in Togo," Journal of Development Economics, Elsevier, vol. 175(C).
  2. Bellue, Suzanne & Bouguen, Adrien & Gurgand, Marc & Munier, Valerie & Tricot, André, 2024. "When Effective teacher training falls short in the classroom: Evidence from an experiment in primary schools," Economics of Education Review, Elsevier, vol. 103(C).
  3. 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. Krueger, Dirk & Ludwig, Alexander & Popova, Irina, 2024. "Shaping inequality and intergenerational persistence of poverty: Free college or better schools," ICIR Working Paper Series 54/24, Goethe University Frankfurt, International Center for Insurance Regulation (ICIR).
    2. 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.
    3. Krueger, Dirk & Ludwig, Alexander & Popova, Irina, 2025. "Shaping inequality and intergenerational persistence of poverty: Free college or better schools?," Journal of Monetary Economics, Elsevier, vol. 150(C).

  2. 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.

    Cited by:

    1. Aiken, Emily & Ashraf, Anik & Blumenstock, Joshua E. & Guiteras, Raymond P. & Mobarak, Ahmed Mushfiq, 2025. "Scalable Targeting of Social Protection: When Do Algorithms Out-Perform Surveys and Community Knowledge?," CEnREP Working Papers 376262, North Carolina State University, Department of Agricultural and Resource Economics.
    2. Letta, Marco & Montalbano, Pierluigi & Morales Opazo, Cristian & Petruccelli, Federica, 2025. "Measuring and testing vulnerability to food insecurity for prediction and targeting," Economics & Human Biology, Elsevier, vol. 59(C).
    3. Kilic, Talip & Letta, Marco & Montalbano, Pierluigi & Petruccelli, Federica, 2026. "CLARE : A Causal machine Learning Approach to Resilience Estimation," Policy Research Working Paper Series 11292, The World Bank.
    4. Klaus W. Deininger & Daniel Ayalew Ali, 2024. "Using Satellite Imagery and a Farmer Registry to Assess Agricultural Support in Conflict Settings : The Case of the Producer Support Grant Program in Ukraine," Policy Research Working Paper Series 10912, The World Bank.

  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.

    Cited by:

    1. Maxime Fajeau & Julien Grenet & Emma Laveissière & Orane Leonetti, 2025. "Efficacité des politiques éducatives : sources et hypothèses de calcul," Institut des Politiques Publiques halshs-05458929, HAL.

  4. 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, IZA Network @ LISER.
    2. 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).
    3. 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.
    4. Edward Miguel & Ahmed Mushfiq Mobarak, 2021. "The Economics of the COVID-19 Pandemic in Poor Countries," NBER Working Papers 29339, National Bureau of Economic Research, Inc.
    5. Klaus W. Deininger & Daniel Ayalew Ali, 2024. "Using Satellite Imagery and a Farmer Registry to Assess Agricultural Support in Conflict Settings : The Case of the Producer Support Grant Program in Ukraine," Policy Research Working Paper Series 10912, The World Bank.
    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.
    7. Christensen, Peter & Francisco, Paul & Myers, Erica & Shao, Hansen & Souza, Mateus, 2024. "Energy efficiency can deliver for climate policy: Evidence from machine learning-based targeting," Journal of Public Economics, Elsevier, vol. 234(C).

Articles

  1. Aiken, Emily & Bellue, Suzanne & Blumenstock, Joshua E. & Karlan, Dean & Udry, Christopher, 2025. "Estimating impact with surveys versus digital traces: Evidence from randomized cash transfers in Togo," Journal of Development Economics, Elsevier, vol. 175(C).
    See citations under working paper version above.
  2. Bellue, Suzanne & Bouguen, Adrien & Gurgand, Marc & Munier, Valerie & Tricot, André, 2024. "When Effective teacher training falls short in the classroom: Evidence from an experiment in primary schools," Economics of Education Review, Elsevier, vol. 103(C).
    See citations under working paper version above.
  3. 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. Yuko Okamura & Tim Ohlenburg & Emil Tesliuc, 2024. "Scaling Up Social Assistance Where Data is Scarce - Opportunities and Limits of Novel Data and AI," World Bank Publications - Reports 41553, The World Bank Group.
    2. Beuermann, Diether W. & Hoffmann, Bridget & Stampini, Marco & Vargas, David L. & Vera-Cossio, Diego, 2025. "Shooting a moving target: Evaluating targeting tools for social programs when income fluctuates," Journal of Development Economics, Elsevier, vol. 172(C).
    3. Ali Shirali & Ariel Procaccia & Rediet Abebe, 2025. "The Hidden Cost of Waiting for Accurate Predictions," Papers 2503.00650, arXiv.org.
    4. 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.
    5. 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.
    6. Sandeep Kumar & S. Chakraverty & Narayan Sethi, 2026. "Application of ANNs for predicting poverty levels with interval estimation: a case study of Odisha, India," Journal of Computational Social Science, Springer, vol. 9(1), pages 1-20, February.
    7. Barriga-Cabanillas, Oscar & Blumenstock, Joshua E. & Lybbert, Travis J. & Putman, Daniel S., 2025. "Probing the limits of mobile phone metadata for poverty prediction and impact evaluation," Journal of Development Economics, Elsevier, vol. 174(C).
    8. Newhouse,David Locke, 2023. "Small Area Estimation of Poverty and Wealth Using Geospatial Data : What Have We Learned SoFar ?," Policy Research Working Paper Series 10512, The World Bank.
    9. Aiken, Emily & Ashraf, Anik & Blumenstock, Joshua E. & Guiteras, Raymond P. & Mobarak, Ahmed Mushfiq, 2025. "Scalable Targeting of Social Protection: When Do Algorithms Out-Perform Surveys and Community Knowledge?," CEnREP Working Papers 376262, North Carolina State University, Department of Agricultural and Resource Economics.
    10. Isabella S. Smythe & Joshua E. Blumenstock, 2022. "Geographic microtargeting of social assistance with high-resolution poverty maps," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(32), pages 2120025119-, August.
    11. 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).
    12. Okamura, Yuko & Ohlenburg, Tim & Tesliuc, Emil, 2024. "Scaling up Social Assistance Where Data is Scarce : Opportunities and Limits of Novel Data and AI," The Social Policy and Labor Discussion Paper Series 189993, The World Bank.
    13. Till Koebe & Alejandra Arias-Salazar & Timo Schmid, 2023. "Releasing survey microdata with exact cluster locations and additional privacy safeguards," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    14. Letta, Marco & Montalbano, Pierluigi & Morales Opazo, Cristian & Petruccelli, Federica, 2025. "Measuring and testing vulnerability to food insecurity for prediction and targeting," Economics & Human Biology, Elsevier, vol. 59(C).
    15. Peter Fisker & Jordi Gallego-Ayala & David Malmgren Hansen & Thomas Pave Sohnesen & Edmundo Murrugarra, 2022. "Guiding Social Protection Targeting Through Satellite Data in São Tomé and Príncipe," World Bank Publications - Reports 38222, The World Bank Group.
    16. Crippa, Federico, 2025. "Regret analysis in threshold policy design," Journal of Econometrics, Elsevier, vol. 249(PB).
    17. Kilic, Talip & Letta, Marco & Montalbano, Pierluigi & Petruccelli, Federica, 2026. "CLARE : A Causal machine Learning Approach to Resilience Estimation," Policy Research Working Paper Series 11292, The World Bank.
    18. Rolando Gonzales Martinez & Mariza Cooray, 2025. "Enhancing Poverty Targeting with Spatial Machine Learning: An application to Indonesia," Papers 2503.04300, arXiv.org.
    19. Paolo Verme, 2025. "Predicting Poverty," Papers 2505.05958, arXiv.org.
    20. Mamakou, Irene & Markantoni, Athina & Kargas, Antonios D., 2025. "Leveraging AI in Diplomacy: Enhancing Foreign Policy, National Interest and Digital Diplomacy," 33rd European Regional ITS Conference, Edinburgh, 2025: Digital innovation and transformation in uncertain times 331291, International Telecommunications Society (ITS).
    21. 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.
    22. Chongchong Qi & Tao Hu & Yi Zheng & Mengting Wu & Fiona H. M. Tang & Min Liu & Bintian Zhang & Sybil Derrible & Qiusong Chen & Gongren Hu & Liyuan Chai & Zhang Lin, 2025. "Global and regional patterns of soil metal(loid) mobility and associated risks," Nature Communications, Nature, vol. 16(1), pages 1-11, December.
    23. 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).
    24. 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).
    25. Angela Lyons & Josephine Kass-Hanna & Deepika Pingali & Aiman Soliman & David Zhu & Yifang Zhang & Alejandro Montoya Castano, 2025. "A geospatial analysis of food insecurity among refugee households in Lebanon using machine learning techniques," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 17(6), pages 1625-1653, December.
    26. Marcus Buckmann & Quynh Anh Nguyen & Edward Hill, 2025. "Revealing economic facts: LLMs know more than they say," Papers 2505.08662, arXiv.org, revised Dec 2025.
    27. 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, IZA Network @ LISER.
    28. Baez, Javier E. & Kshirsagar, Varun & Skoufias, Emmanuel, 2024. "Drought-sensitive targeting and child growth faltering in Southern Africa," World Development, Elsevier, vol. 182(C).
    29. Lyons, Angela C. & Montoya Castano, Alejandro & Kass-Hanna, Josephine & Zhang, Yifang & Soliman, Aiman, 2025. "A machine learning approach to assessing multidimensional poverty and targeting assistance among forcibly displaced populations," World Development, Elsevier, vol. 192(C).
    30. Elena Lutz & Sam Heroy & David Kaufmann & Neave O'Clery, 2025. "A causal evaluation of Bogota's cable car illustrates the transformative potential of mobile phone data for policy analysis," Papers 2506.09311, arXiv.org.
    31. Abay,Kibrom A. & Yonzan,Nishant & Kurdi,Sikandra Smith & Hirfrfot,Kibrom Tafere, 2022. "Revisiting Poverty Trends and the Role of Social Protection Systems in Africa during theCOVID-19 Pandemic," Policy Research Working Paper Series 10172, The World Bank.
    32. Corral Rodas,Paul Andres & Henderson,Heath Linn & Segovia Juarez,Sandra Carolina, 2023. "Poverty Mapping in the Age of Machine Learning," Policy Research Working Paper Series 10429, The World Bank.
    33. M. Merritt Smith & Emily Aiken & Joshua E. Blumenstock & Sveta Milusheva, 2026. "Predicting Well-Being with Mobile Phone Data: Evidence from Four Countries," Papers 2602.02805, arXiv.org.
    34. Paolo Verme, 2023. "Predicting Poverty with Missing Incomes," Working Papers 642, ECINEQ, Society for the Study of Economic Inequality.
    35. Aiken, Emily & Bellue, Suzanne & Blumenstock, Joshua E. & Karlan, Dean & Udry, Christopher, 2025. "Estimating impact with surveys versus digital traces: Evidence from randomized cash transfers in Togo," Journal of Development Economics, Elsevier, vol. 175(C).
    36. 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.
    37. Juan Carlos Perdomo, 2023. "The Relative Value of Prediction in Algorithmic Decision Making," Papers 2312.08511, arXiv.org, revised May 2024.
    38. Tennant, Elizabeth J. & Michuda, Aleksandr & Upton, Joanna B. & Chamorro, Andres & Engstrom, Ryan & Mann, Michael L. & Newhouse, David & Weber, Michael & Barrett, Christopher B., 2025. "Nowcasting Disruptions to Human Capital Formation : Evidence from High-Frequency Household and Geospatial Data in Rural Malawi," Policy Research Working Paper Series 11202, The World Bank.
    39. Corral, Paul & Henderson, Heath & Segovia, Sandra, 2025. "Poverty mapping in the age of machine learning," Journal of Development Economics, Elsevier, vol. 172(C).
    40. 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.
    41. Federico Crippa, 2024. "Regret Analysis in Threshold Policy Design," Papers 2404.11767, arXiv.org, revised Apr 2025.
    42. Stephen O’Connell & Onur Altındağ & and Rim Achour, 2024. "Geographic poverty targeting in social protection programs: Evidence from a nationwide policy experiment," HiCN Working Papers 418, Households in Conflict Network.
    43. 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.
    44. Yuko Okamura & Tim Ohlenburg & Emil Tesliuc, 2024. "Scaling up Social Assistance Where Data is Scarce," World Bank Publications - Reports 41548, The World Bank Group.
    45. 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," The Social Policy and Labor Discussion Paper Series 177340, The World Bank.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 9 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 (4) 2024-03-04 2024-04-01 2024-07-08 2026-05-04. Author is listed
  3. NEP-BIG: Big Data (2) 2021-08-23 2023-11-06
  4. NEP-EXP: Experimental Economics (2) 2023-09-18 2023-09-25
  5. NEP-CMP: Computational Economics (1) 2021-08-23
  6. NEP-DEM: Demographic Economics (1) 2026-03-30
  7. NEP-HEA: Health Economics (1) 2023-11-06
  8. NEP-ISF: Islamic Finance (1) 2021-08-23
  9. NEP-LMA: Labor Markets - Supply, Demand, and Wages (1) 2024-07-08
  10. NEP-PAY: Payment Systems and Financial Technology (1) 2021-08-23

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