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Joshua Evan Blumenstock

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. Blumenstock, Joshua & Callen, Mike & Ghani, Tarek & Gonzalez, Robert, 2024. "Violence and financial decisions: evidence from mobile money in Afghanistan," LSE Research Online Documents on Economics 117303, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Ablam Estel Apeti & Jean-Louis Combes & Eyah Denise Edoh, 2023. "Entrepreneurship in developing countries: can mobile money play a role?," Working Papers hal-04081304, HAL.

  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. Emily Aiken & Anik Ashraf & Joshua E. Blumenstock & Raymond P. Guiteras & Ahmed Mushfiq Mobarak, 2025. "Scalable Targeting of Social Protection: When Do Algorithms Out-Perform Surveys and Community Knowledge?," CESifo Working Paper Series 11928, CESifo.
    2. 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. Daniel Bjorkegren & Joshua E. Blumenstock & Samsun Knight, 2022. "(Machine) Learning What Policies Value," Papers 2206.00727, arXiv.org.

    Cited by:

    1. Nir Chemaya & Daniel Martin, 2023. "Perceptions and Detection of AI Use in Manuscript Preparation for Academic Journals," Papers 2311.14720, arXiv.org, revised Jan 2024.
    2. Nir Chemaya & Daniel Martin, 2024. "Perceptions and detection of AI use in manuscript preparation for academic journals," PLOS ONE, Public Library of Science, vol. 19(7), pages 1-16, July.
    3. Johannes Haushofer & Paul Niehaus & Carlos Paramo & Edward Miguel & Michael Walker, 2025. "Targeting Impact versus Deprivation," American Economic Review, American Economic Association, vol. 115(6), pages 1936-1974, June.

  4. Emily Aiken & Guadalupe Bedoya & Joshua Blumenstock & Aidan Coville, 2022. "Program Targeting with Machine Learning and Mobile Phone Data: Evidence from an Anti-Poverty Intervention in Afghanistan," Papers 2206.11400, arXiv.org.

    Cited by:

    1. Merfeld,Joshua D. & Dang, Hai-Anh H. & Newhouse, David, 2023. "Improving Estimates of Mean Welfare and Uncertainty in Developing Countries," Policy Research Working Paper Series 10348, The World Bank.
    2. 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.

  5. Oeindrila Dube & Joshua Blumenstock & Michael Callen, 2022. "Measuring Religion from Behavior: Climate Shocks and Religious Adherence in Afghanistan," NBER Working Papers 30694, National Bureau of Economic Research, Inc.

    Cited by:

    1. Kelton Minor & Esteban Moro & Nick Obradovich, 2023. "Adverse weather amplifies social media activity," Papers 2302.08456, arXiv.org.
    2. Tim Friehe & Christian Pfeifer, 2024. "A family member's death increases religious activity: Evidence from Germany," Kyklos, Wiley Blackwell, vol. 77(2), pages 458-468, May.
    3. Brummund, Peter & Makowsky, Michael D., 2024. "Monopsony and Local Religious Clubs: Evidence from Indonesia," IZA Discussion Papers 16999, Institute of Labor Economics (IZA).

  6. Daniel Bjorkegren & Joshua Blumenstock & Omowunmi Folajimi-Senjobi & Jacqueline Mauro & Suraj R. Nair, 2022. "Instant Loans Can Lift Subjective Well-Being: A Randomized Evaluation of Digital Credit in Nigeria," Papers 2202.13540, arXiv.org.

    Cited by:

    1. Burlando, Alfredo & Kuhn, Michael A. & Prina, Silvia, 2023. "Too Fast, Too Furious? Digital Credit Delivery Speed and Repayment Rates," IZA Discussion Papers 16451, Institute of Labor Economics (IZA).

  7. Guanghua Chi & Han Fang & Sourav Chatterjee & Joshua E. Blumenstock, 2021. "Micro-Estimates of Wealth for all Low- and Middle-Income Countries," Papers 2104.07761, arXiv.org.

    Cited by:

    1. Philipp Koch & Viktor Stojkoski & César A. Hidalgo, 2024. "Augmenting the availability of historical GDP per capita estimates through machine learning," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 121(39), pages 2402060121-, September.
    2. Van Der Weide,Roy & Blankespoor,Brian & Elbers,Chris T.M. & Lanjouw,Peter F., 2022. "How Accurate Is a Poverty Map Based on Remote Sensing Data ? An Application to Malawi," Policy Research Working Paper Series 10171, The World Bank.
    3. Parra-Mujica, Fiorella & Roope, Laurence SJ. & Abdul-Aziz, Alia & Mustapha, Feisul & Ng, Chiu Wan & Rampal, Sanjay & Lim, Lee-Ling & Dakin, Helen & Clarke, Philip, 2024. "Health poverty among people with type 2 diabetes mellitus (T2DM) in Malaysia," Social Science & Medicine, Elsevier, vol. 340(C).
    4. Nathan Ratledge & Gabe Cadamuro & Brandon de la Cuesta & Matthieu Stigler & Marshall Burke, 2021. "Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access," Papers 2109.02890, arXiv.org.
    5. Jung, Woojin & Ghadimi, Saeed & Ntarlagiannis, Dimitrios & Kim, Andrew H., 2025. "Using Artificial Intelligence/machine learning to evaluate the distribution of community development aid across Myanmar," Socio-Economic Planning Sciences, Elsevier, vol. 98(C).
    6. 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.
    7. Corral, Paul & Henderson, Heath & Segovia, Sandra, 2025. "Poverty mapping in the age of machine learning," Journal of Development Economics, Elsevier, vol. 172(C).
    8. 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).
    9. Stevanato, Nicolò & Fioriti, Davide & Ferrucci, Tommaso & Belloni, Luca & Rinaldi, Lorenzo & Poli, Davide & Colombo, Emanuela, 2025. "Data-driven analysis for the characterization of household appliance ownership and use in Sub-Saharan Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 212(C).
    10. Emily Aiken & Suzanne Bellue & Dean Karlan & Christopher R. Udry & Joshua Blumenstock, 2021. "Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance," NBER Working Papers 29070, National Bureau of Economic Research, Inc.
    11. Nicolò Golinucci & Nicolò Stevanato & Negar Namazifard & Mohammad Amin Tahavori & Lamya Adil Sulliman Hussain & Benedetta Camilli & Federica Inzoli & Matteo Vincenzo Rocco & Emanuela Colombo, 2022. "Comprehensive and Integrated Impact Assessment Framework for Development Policies Evaluation: Definition and Application to Kenyan Coffee Sector," Energies, MDPI, vol. 15(9), pages 1-19, April.
    12. 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.
    13. 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.
    14. de Silva, Tiloka, 2025. "The impact of Covid-19 disruptions on primary education: Evidence from the national grade 5 scholarship examination in Sri Lanka," International Journal of Educational Development, Elsevier, vol. 114(C).
    15. Agneman, Gustav & Cappelen, Christoffer & Brandt, Kasper & Sjöberg, David, 2025. "The uneven reach of the state: A novel approach to mapping local state presence," Journal of Development Economics, Elsevier, vol. 174(C).
    16. Lee, Kamwoo & Braithwaite, Jeanine, 2022. "High-resolution poverty maps in Sub-Saharan Africa," World Development, Elsevier, vol. 159(C).
    17. Dumedah, Gift & Abass, Kabila & Gyasi, Razak M. & Forkuor, John Boulard & Novignon, Jacob, 2023. "Inefficient allocation of paratransit service terminals and routes in Ghana: The role of driver unions and paratransit operators," Journal of Transport Geography, Elsevier, vol. 111(C).
    18. World Bank, 2023. "Central African Republic Poverty Assessment 2023 [Évaluation de la pauvreté en République centrafricaine 2023]," World Bank Publications - Reports 40706, The World Bank Group.

  8. 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. 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.
    3. 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.
    4. 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.
    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.
    7. 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.

  9. Cornelia Ilin & Sébastien E. Annan-Phan & Xiao Hui Tai & Shikhar Mehra & Solomon M. Hsiang & Joshua E. Blumenstock, 2020. "Public Mobility Data Enables COVID-19 Forecasting and Management at Local and Global Scales," NBER Working Papers 28120, National Bureau of Economic Research, Inc.

    Cited by:

    1. 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.
    2. John McLaren & Su Wang, 2020. "Effects of Reduced Workplace Presence on COVID-19 Deaths: An Instrumental-Variables Approach," NBER Working Papers 28275, National Bureau of Economic Research, Inc.
    3. Nicholas W. Papageorge, 2021. "Modeling Behavior during a Pandemic: Using HIV as an Historical Analogy," NBER Working Papers 28898, National Bureau of Economic Research, Inc.

  10. Blumenstock, Joshua & Dillon, Brian & Aker, Jenny, 2020. "How Important is the Yellow Pages? Experimental Evidence from Tanzania," CEPR Discussion Papers 14489, C.E.P.R. Discussion Papers.

    Cited by:

    1. Campenhout, Bjorn Van, 2021. "ICTs to Address Information Inefficiencies in Food Supply Chains," 2021 Conference, August 17-31, 2021, Virtual 315054, International Association of Agricultural Economists.
    2. Campenhout, Bjorn Van, 2021. "ICTs to Address Information Inefficiencies in Food Supply Chains," 2021 Conference, August 17-31, 2021, Virtual 313801, International Association of Agricultural Economists.
    3. Anderson,Stephen J. & Mckenzie,David J., 2021. "What Prevents More Small Firms from Using Professional Business Services ? An Information and Quality-Rating Experiment in Nigeria," Policy Research Working Paper Series 9614, The World Bank.
    4. Hardy, Morgan & Kim, Seongyoon & McCasland, Jamie & Menzel, Andreas & Witte, Marc, 2024. "Allocating labor across small firms: Experimental evidence on information constraints," Journal of Development Economics, Elsevier, vol. 171(C).

  11. Daniel Bjorkegren & Joshua E. Blumenstock & Samsun Knight, 2020. "Manipulation-Proof Machine Learning," Papers 2004.03865, arXiv.org.

    Cited by:

    1. Delprato, Marcos & Frola, Alessia & Antequera, Germán, 2022. "Indigenous and non-Indigenous proficiency gaps for out-of-school and in-school populations: A machine learning approach," International Journal of Educational Development, Elsevier, vol. 93(C).
    2. Elliott Ash & Sergio Galletta & Tommaso Giommoni, 2021. "A Machine Learning Approach to Analyze and Support Anti-Corruption Policy," CESifo Working Paper Series 9015, CESifo.
    3. 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).
    4. Roshni Sahoo & Stefan Wager, 2022. "Policy Learning with Competing Agents," Papers 2204.01884, arXiv.org, revised Mar 2025.
    5. Emily Aiken & Suzanne Bellue & Dean Karlan & Christopher R. Udry & Joshua Blumenstock, 2021. "Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance," NBER Working Papers 29070, National Bureau of Economic Research, Inc.
    6. Meena Jagadeesan & Celestine Mendler-Dunner & Moritz Hardt, 2021. "Alternative Microfoundations for Strategic Classification," Papers 2106.12705, arXiv.org.

  12. Matthew Olckers & Joshua E. Blumenstock, 2020. "Gamblers Learn from Experience," SoDa Laboratories Working Paper Series 2020-07, Monash University, SoDa Laboratories.

    Cited by:

    1. Martin Chegere & Paolo Falco & Marco Nieddiu & Lorenzo Pandolfi & Mattea Stein, 2022. "The Magic of the Game:Experimental Evidence on Sports Betting Behavior," CSEF Working Papers 655, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy, revised 15 Nov 2024.

  13. Blumenstock, Joshua & Chi, Guanghua & Tan, Xu, 2019. "Migration and the Value of Social Networks," CEPR Discussion Papers 13611, C.E.P.R. Discussion Papers.

    Cited by:

    1. Paul Blanchard & Douglas Gollin & Martina Kirchberger, 2023. "Perpetual Motion: High-Frequency Human Mobility in Three African Countries," Trinity Economics Papers tep0823, Trinity College Dublin, Department of Economics.
    2. Kenneth Yakubu & Claire Blacklock & Kudus Oluwatoyin Adebayo & David Peiris & Rohina Joshi & Shinjini Mondal, 2023. "Social networks and skilled health worker migration in Nigeria: An ego network analysis," International Journal of Health Planning and Management, Wiley Blackwell, vol. 38(2), pages 457-472, March.
    3. Lea-Maria Löbel & Hannes Kröger & Ana Nanette Tibubos, 2021. "Social Isolation and Loneliness in the Context of Migration: A Cross-Sectional Study of Refugees, Migrants, and the Native Population in Germany," SOEPpapers on Multidisciplinary Panel Data Research 1124, DIW Berlin, The German Socio-Economic Panel (SOEP).
    4. Patacchini, Eleonora & Barwick, Panle Jia & Liu, Yanyan & Wu, Qi, 2019. "Information, Mobile Communication, and Referral Effects," CEPR Discussion Papers 13786, C.E.P.R. Discussion Papers.
    5. Anandi Mani & Emma Riley, 2019. "Social networks, role models, peer effects, and aspirations," WIDER Working Paper Series wp-2019-120, World Institute for Development Economic Research (UNU-WIDER).
    6. Yuan Tian & Maria Esther Caballero & Brian K. Kovak, 2020. "Social Learning along International Migrant Networks," NBER Working Papers 27679, National Bureau of Economic Research, Inc.
    7. Rabia Arif & Theresa Thompson Chaudhry & Azam Amjad Chaudhry, 2023. "Emigration’s Heterogeneous Impact on Children’s Wellbeing in Punjab, Pakistan," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(3), pages 1251-1295, June.
    8. Beine, Michel & Bertinelli, Luisito & Cömertpay, Rana & Litina, Anastasia & Maystadt, Jean-François, 2021. "A gravity analysis of refugee mobility using mobile phone data," Journal of Development Economics, Elsevier, vol. 150(C).
    9. Harshil Sahai & Michael Bailey, 2022. "Social Networks and Spatial Mobility: Evidence from Facebook in India," Papers 2203.05595, arXiv.org.
    10. Richard Serbeh & Prince Osei-Wusu Adjei, 2020. "Social Networks and the Geographies of Young People’s Migration: Evidence from Independent Child Migration in Ghana," Journal of International Migration and Integration, Springer, vol. 21(1), pages 221-240, March.
    11. Toman Barsbai & Victoria Licuanan & Andreas Steinmayr & Erwin Tiongson & Dean Yang, 2020. "Information and the Acquisition of Social Network Connections," NBER Working Papers 27346, National Bureau of Economic Research, Inc.
    12. Toman Barsbai & Victoria Licuanan & Andreas Steinmayr & Erwin Tiongson & Dean Yang, 2021. "Information and Immigrant Settlement," Working Papers 2021-30, Faculty of Economics and Statistics, Universität Innsbruck.
    13. Bertoli, Simone & Ruyssen, Ilse, 2016. "Networks and Migrants' Intended Destination," IZA Discussion Papers 10213, Institute of Labor Economics (IZA).
    14. Meenakshi Fernandes & d'Artis Kancs & Cecilia Navarra, 2021. "Legal migration policy and law," EERI Research Paper Series EERI RP 2021/10, Economics and Econometrics Research Institute (EERI), Brussels.
    15. Konstantin Büchel & Maximilian V. Ehrlich & Diego Puga & Elisabet Viladecans-Marsal, 2019. "Calling from the outside: The role of networks in residential mobility," Working Papers wp2019_1909, CEMFI.
    16. László Lőrincz & Brigitta Németh, 2022. "How Social Capital is Related to Migration Between Communities?," European Journal of Population, Springer;European Association for Population Studies, vol. 38(5), pages 1119-1143, December.
    17. Kirchberger, Martina, 2021. "Measuring internal migration," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    18. Selod, Harris & Shilpi, Forhad, 2021. "Rural-urban migration in developing countries: Lessons from the literature," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    19. Ananyev, Maxim & Poyker, Michael & Tian, Yuan, 2021. "The Safest Time to Fly: Pandemic Response in the Era of Fox News," GLO Discussion Paper Series 742 [pre.], Global Labor Organization (GLO).
    20. Basu, Arnab K. & Chau, Nancy H. & Lin, Gary C., 2022. "Migration Gravity, Networks, and Unemployment," IZA Discussion Papers 15808, Institute of Labor Economics (IZA).

  14. Toomet,Ott & Blumenstock,Joshua Evan & Scherer,Thomas & Herskowitz,Sylvan Rene & Ghani,Tarek F. & Kapstein,Ethan B., 2018. "Insecurity and industrial organization : evidence from Afghanistan," Policy Research Working Paper Series 8301, The World Bank.

    Cited by:

    1. Carolina Bernal & M�nica Ortiz & Mounu Prem & Juan F. Vargas, 2022. "Peaceful entry: Entrepreneurship dynamics during Colombia’s peace agreement," Documentos de Trabajo 19939, The Latin American and Caribbean Economic Association (LACEA).
    2. Mr. Philip Barrett, 2018. "The Fiscal Cost of Conflict: Evidence from Afghanistan 2005-2016," IMF Working Papers 2018/204, International Monetary Fund.
    3. Atamanov, Aziz & Tandon, Sharad & Lopez-Acevedo, Gladys & Vergara Bahena, Mexico Alberto, 2020. "Measuring Monetary Poverty in the Middle East and North Africa (MENA) Region: Data Gaps and Different Options to Address Them," IZA Discussion Papers 13363, Institute of Labor Economics (IZA).
    4. Del Prete, Davide & Di Maio, Michele & Rahman, Aminur, 2023. "Firms amid conflict: Performance, production inputs, and market competition," Journal of Development Economics, Elsevier, vol. 164(C).
    5. Galdo, Virgilio & Lopez-Acevedo, Gladys & Rama, Martin, 2020. "Conflict and the Composition of Economic Activity in Afghanistan," IZA Policy Papers 153, Institute of Labor Economics (IZA).
    6. Barrett, Philip, 2022. "The fiscal cost of conflict: Evidence from Afghanistan 2005–2017," World Development, Elsevier, vol. 157(C).
    7. Leonardo M. Klüppel & Lamar Pierce & Jason A. Snyder, 2018. "Perspective—The Deep Historical Roots of Organization and Strategy: Traumatic Shocks, Culture, and Institutions," Organization Science, INFORMS, vol. 29(4), pages 702-721, August.
    8. Christopher Ksoll & Rocco Macchiavello & Ameet Morjaria, 2023. "Electoral Violence and Supply Chain Disruptions in Kenya's Floriculture Industry," The Review of Economics and Statistics, MIT Press, vol. 105(6), pages 1335-1351, November.
    9. Matteo Neri-Lainé, 2024. "Firms under fire! How insecurity affects formal firms’ existence," Working Papers DT/2024/09, DIAL (Développement, Institutions et Mondialisation).

  15. Callen, Michael & Blumenstock, Joshua & Ghani, Tarek, 2017. "Why Do Defaults Affect Behavior? Experimental Evidence from Afghanistan," CEPR Discussion Papers 12142, C.E.P.R. Discussion Papers.

    Cited by:

    1. Lorenzo Casaburi & Rocco Macchiavello, 2019. "Demand and Supply of Infrequent Payments as a Commitment Device: Evidence from Kenya," American Economic Review, American Economic Association, vol. 109(2), pages 523-555, February.
    2. Antinyan, Armenak & Asatryan, Zareh, 2019. "Nudging for tax compliance: A meta-analysis," ZEW Discussion Papers 19-055, ZEW - Leibniz Centre for European Economic Research.
    3. Benjamin Enke & Thomas Graeber & Ryan Oprea, 2023. "Complexity and Hyperbolic Discounting," NBER Working Papers 31047, National Bureau of Economic Research, Inc.
    4. Jacob Goldin & Tatiana Homonoff & Richard W. Patterson & William L. Skimmyhorn, 2020. "How Much to Save? Decision Costs and Retirement Plan Participation," NBER Working Papers 27575, National Bureau of Economic Research, Inc.
    5. Emma Riley, 2024. "Resisting Social Pressure in the Household Using Mobile Money: Experimental Evidence on Microenterprise Investment in Uganda," American Economic Review, American Economic Association, vol. 114(5), pages 1415-1447, May.
    6. Batista, Catia & Vicente, Pedro C., 2019. "Improving Access to Savings through Mobile Money: Experimental Evidence from African Smallholder Farmers," IZA Discussion Papers 12813, Institute of Labor Economics (IZA).
    7. Asen Ivanov, 2021. "Optimal pension plan default policies when employees are biased," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 23(3), pages 583-596, June.
    8. Joshua Tasoff & Wenjie Zhang, 2022. "The Performance of Time-Preference and Risk-Preference Measures in Surveys," Management Science, INFORMS, vol. 68(2), pages 1149-1173, February.
    9. Paul Heidhues & Mats Köster & Botond Kőszegi & Botond Köszegi, 2024. "A Theory of Digital Ecosystems," CESifo Working Paper Series 11332, CESifo.
    10. John Beshears & James J. Choi & David Laibson & Brigitte C. Madrian & William L. Skimmyhorn, 2019. "Borrowing to Save? The Impact of Automatic Enrollment on Debt," NBER Working Papers 25876, National Bureau of Economic Research, Inc.
    11. Saniya Ansar & Leora Klapper & Dorothe Singer, 2025. "Financial Inclusion and Economic Development : A Review of the Data and Evidence," Policy Research Working Paper Series 11021, The World Bank.
    12. Spantig, Lisa, 2019. "Cash in Hand and Savings Decisions," Rationality and Competition Discussion Paper Series 180, CRC TRR 190 Rationality and Competition.
    13. Diederich, Johannes & Goeschl, Timo & Waichman, Israel, 2025. "Trading off autonomy and efficiency in choice architectures: Self-nudging versus social nudging," Journal of Economic Behavior & Organization, Elsevier, vol. 229(C).
    14. Diederich, Johannes & Goeschl, Timo & Waichman, Israel, 2023. "Self-nudging is more ethical, but less efficient than social nudging," Working Papers 0726, University of Heidelberg, Department of Economics.
    15. Keigo Inukai & Yuta Shimodaira & Kohei Shiozawa, 2022. "Investigation of the Convex Time Budget Experiment by Parameter Recovery Simulation," ISER Discussion Paper 1185r, Institute of Social and Economic Research, The University of Osaka, revised Mar 2023.
    16. Joshua E. Blumenstock & Michael Callen & Tarek Ghani & Robert Gonzalez, 2024. "Violence and Financial Decisions: Evidence from Mobile Money in Afghanistan," The Review of Economics and Statistics, MIT Press, vol. 106(2), pages 352-369, March.
    17. Dawoon Jung & Tushar Bharati & Seungwoo Chin, 2021. "Does Education Affect Time Preference? Evidence from Indonesia," Economic Development and Cultural Change, University of Chicago Press, vol. 69(4), pages 1451-1499.
    18. Yoonyoung Cho, 2024. "Entrepreneurship for the poor in developing countries," IZA World of Labor, Institute of Labor Economics (IZA), pages 167-167, April.
    19. Christian Creed & Paulo Santos, 2023. "Present bias predicts low adoption of profitable technologies: The case of livestock vaccination in northern Laos," Monash Economics Working Papers 2023-03, Monash University, Department of Economics.
    20. Lars Behlen & Oliver Himmler & Robert Jäckle, 2023. "Defaults and effortful tasks," Experimental Economics, Springer;Economic Science Association, vol. 26(5), pages 1022-1059, November.
    21. Tourek, Gabriel, 2022. "Targeting in tax behavior: Evidence from Rwandan firms," Journal of Development Economics, Elsevier, vol. 158(C).
    22. Paul Heidhues & Mats Köster & Botond Kőszegi, 2024. "A Theory of Digital Ecosystems," ECONtribute Discussion Papers Series 329, University of Bonn and University of Cologne, Germany.
    23. Goldin, Jacob & Reck, Daniel, 2020. "Optimal defaults with normative ambiguity," LSE Research Online Documents on Economics 105863, London School of Economics and Political Science, LSE Library.
    24. Batista, Catia & Vicente, Pedro C., 2023. "Is Mobile Money Changing Rural Africa? Evidence from a Field Experiment," IZA Discussion Papers 16101, Institute of Labor Economics (IZA).
    25. Eva Haaser & Melanie Koch, 2019. "Do Default Assignments Increase Savings of the Poor? Empirical Evidence," DIW Roundup: Politik im Fokus 130, DIW Berlin, German Institute for Economic Research.
    26. Pierre Bachas & Paul Gertler & Sean Higgins & Enrique Seira, 2017. "How Debit Cards Enable the Poor to Save More," NBER Working Papers 23252, National Bureau of Economic Research, Inc.
    27. John Beshears & Ruofei Guo & David Laibson & Brigitte C. Madrian & James J. Choi, 2023. "Automatic Enrollment with a 12% Default Contribution Rate," NBER Working Papers 31601, National Bureau of Economic Research, Inc.
    28. Ansar,Saniya & Klapper,Leora & Singer,Dorothe, 2023. "The Importance of Financial Education for the Effective Use of Formal Financial Services," Policy Research Working Paper Series 10345, The World Bank.
    29. Ayse Tugba Atasoy & Reinhard Madlener, 2020. "Default vs. Active Choices: An Experiment on Electricity Tariff Switching," FCN Working Papers 7/2020, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    30. Macchiavello, Rocco & Casaburi, Lorenzo, 2015. "Firm and Market Response to Saving Constraints: Evidence from the Kenyan Dairy Industry," CEPR Discussion Papers 10952, C.E.P.R. Discussion Papers.
    31. Vladimir Ivanov & Elena Nikishina, 2025. "Applying Behavioural Economics to Promote Financial Literate Behaviour: An Overview of Studies," Russian Journal of Money and Finance, Bank of Russia, vol. 84(2), pages 89-112, June.
    32. Diederich, Johannes & Goeschl, Timo & Waichman, Israel, 2022. "Self-Nudging vs. Social Nudging in Social Dilemmas: An Experiment," Working Papers 0710, University of Heidelberg, Department of Economics.
    33. de Bresser, Jochem & Knoef, Marike, 2025. "Different defaults affect different groups differently," Journal of Economic Behavior & Organization, Elsevier, vol. 231(C).
    34. Niu, Xiaofei & Li, Jianbiao, 2020. "Incentivizing organ donation by swearing an oath: The role of signature and ritual," EconStor Preprints 203243, ZBW - Leibniz Information Centre for Economics, revised 2020.
    35. Burgherr, David, 2022. "Behavioral Responses to a Pension Savings Mandate : Quasi-experimental Evidence from Swiss Tax Data," CAGE Online Working Paper Series 645, Competitive Advantage in the Global Economy (CAGE).
    36. Katharina Momsen & Sebastian O. Schneider, 2022. "Motivated Reasoning, Information Avoidance, and Default Bias," Working Papers 2022-05, Faculty of Economics and Statistics, Universität Innsbruck.
    37. Sinja Buri & Robert Cull & Xavier Giné, 2023. "Alternative delivery channels and impacts: agent banking," Chapters, in: Valentina Hartarska & Robert J. Cull (ed.), Handbook of Microfinance, Financial Inclusion and Development, chapter 9, pages 150-163, Edward Elgar Publishing.
    38. Leora Klapper, 2017. "How digital payments can benefit entrepreneurs," IZA World of Labor, Institute of Labor Economics (IZA), pages 396-396, November.
    39. Gärtner, Florian & Semmler, Darwin & Bannier, Christina E., 2023. "What could possibly go wrong? Predictable misallocation in simple debt repayment experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 28-43.
    40. Behlen, Lars & Himmler, Oliver & Jaeckle, Robert, 2022. "Can defaults change behavior when post-intervention effort is required? Evidence from education," MPRA Paper 112962, University Library of Munich, Germany.
    41. Yang, Jiaqi, 2025. "Status quo bias with choice overload," Games and Economic Behavior, Elsevier, vol. 149(C), pages 170-186.
    42. Leora Klapper, 2024. "Expanding Financial Inclusion through Digital Financial Services : A Literature Review," Policy Research Working Paper Series 11008, The World Bank.
    43. Anirudh Srivastava & Pavel ?ežábek, 2022. "Impact of Digital Payments on the Economic growth of a country- A case of the Czech Republic," International Journal of Economic Sciences, European Research Center, vol. 11(1), pages 85-104, April.
    44. Kanz, Martin & Breza, Emily & Klapper, Leora F., 2020. "Learning to Navigate a New Financial Technology: Evidence from Payroll Accounts," CEPR Discussion Papers 15565, C.E.P.R. Discussion Papers.
    45. Till Koebe, 2020. "Better coverage, better outcomes? Mapping mobile network data to official statistics using satellite imagery and radio propagation modelling," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-28, November.
    46. Boris Ginzburg & Jose Alberto Guerra & Warn N. Lekfuangfu, 2023. "Critical mass in collective action," Documentos CEDE 20819, Universidad de los Andes, Facultad de Economía, CEDE.
    47. Thunström, Linda & Gilbert, Ben & Ritten, Chian Jones, 2018. "Nudges that hurt those already hurting – distributional and unintended effects of salience nudges," Journal of Economic Behavior & Organization, Elsevier, vol. 153(C), pages 267-282.
    48. David J. Freeman & Hanh T. Tong & Lanny Zrill, 2021. "Default-Setting and Default Bias: Does the Choice Architect Matter?," Discussion Papers dp21-08, Department of Economics, Simon Fraser University.
    49. Banerjee, Abhijit & Claudia, Martínez A. & Puentes, Esteban, 2025. "Better strategies for saving more: Evidence from three interventions in Chile," Journal of Development Economics, Elsevier, vol. 173(C).
    50. Giné, Xavier & Goldberg, Jessica, 2023. "Experience in financial decision-making: Field evidence from Malawi," Journal of Development Economics, Elsevier, vol. 161(C).
    51. de Bresser, Jochem & Knoef, Marike, 2019. "Heterogeneous Default Effects on Retirement Saving : Sledgehammers or Precision Instruments," Other publications TiSEM c889dcee-39b2-4817-99fc-7, Tilburg University, School of Economics and Management.
    52. Creed, Christian, 2021. "Present Bias Predicts Low Adoption of Profitable Technologies : The Case of Livestock Vaccination in Northern Laos," Warwick-Monash Economics Student Papers 27, Warwick Monash Economics Student Papers.
    53. Aydemir, Abdurrahman B. & Ersan, Yasar, 2025. "Does Education Improve Financial Outcomes? Evidence from Stock Market and Retirement Accounts in Türkiye," IZA Discussion Papers 17927, Institute of Labor Economics (IZA).
    54. Zarek Brot-Goldberg & Timothy J. Layton & Boris Vabson & Adelina Yanyue Wang, 2021. "The Behavioral Foundations of Default Effects: Theory and Evidence from Medicare Part D," Working Papers 2021-03, Becker Friedman Institute for Research In Economics.
    55. Hernández Romero, Karla & Vera-Cossio, Diego A. & Hoffmann, Bridget & Pecha, Camilo, 2024. "The Promises of Digital Bank Accounts for Low-income Individuals," IDB Publications (Working Papers) 13379, Inter-American Development Bank.
    56. Cull, Robert J. & Foster, Vivien & Jolliffe, Dean Mitchell & Lederman, Daniel & Mare, Davide Salvatore & Veerappan, Malarvizhi, 2023. "Digital Payments and the COVID-19 Shock : The Role of Preexisting Conditions in Banking, Infrastructure, Human Capabilities, and Digital Regulation," Policy Research Working Paper Series 10603, The World Bank.
    57. Itzik Fadlon & David Laibson, 2017. "Paternalism and Pseudo-Rationality: An Illustration Based on Retirement Savings," NBER Working Papers 23620, National Bureau of Economic Research, Inc.
    58. Shilpa Aggarwal & Valentina Brailovskaya & Jonathan Robinson, 2020. "Saving for Multiple Financial Needs: Evidence from Lockboxes and Mobile Money in Malawi," NBER Working Papers 27035, National Bureau of Economic Research, Inc.
    59. Lipscomb, Molly & Schechter, Laura, 2018. "Subsidies versus mental accounting nudges: Harnessing mobile payment systems to improve sanitation," Journal of Development Economics, Elsevier, vol. 135(C), pages 235-254.
    60. Himanshi Jain & Wendy Cunningham, 2023. "Understanding the (Un)met Saving Needs of Poor Urban Liberians in the Informal Sector," World Bank Publications - Reports 40548, The World Bank Group.
    61. Bossavie, Laurent Loic Yves & Rozo, Sandra & Urbina Florez, Maria Jose, 2023. "Impacts of Extremist Ideologies on Refugees' Integration : Evidence from Afghan Refugees in Tajikistan," Policy Research Working Paper Series 10612, The World Bank.
    62. Orazio Attanasio & Matthew Bird & Lina Cardona-Sosa & Pablo Lavado, 2019. "Freeing Financial Education via Tablets: Experimental Evidence from Colombia," NBER Working Papers 25929, National Bureau of Economic Research, Inc.

  16. Callen, Michael & Blumenstock, Joshua & Ghani, Tarek, 2016. "Mobile-izing Savings with Automatic Contributions: Experimental Evidence on Present Bias and Default Effects in Afghanistan," CEPR Discussion Papers 11400, C.E.P.R. Discussion Papers.

    Cited by:

    1. Ruggeri, Kai & Panin, Amma & García-Garzon, Eduardo & , e.a., 2021. "The globalizability of temporal discounting," LIDAM Discussion Papers CORE 2021024, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
      • Kai Ruggeri & Amma Panin & Milica Vdovic & Bojana Većkalov & Nazeer Abdul-Salaam & Jascha Achterberg & Carla Akil & Jolly Amatya & Kanchan Amatya & Thomas Lind Andersen & Sibele D Aquino & Arjoon Arun, 2022. "The globalizability of temporal discounting," Post-Print halshs-03903193, HAL.
      • Kai Ruggeri & Amma Panin & Milica Vdovic & Bojana Većkalov & Nazeer Abdul-Salaam & Jascha Achterberg & Carla Akil & Jolly Amatya & Kanchan Amatya & Thomas Lind Andersen & Sibele D. Aquino & Arjoon Aru, 2022. "The globalizability of temporal discounting," Nature Human Behaviour, Nature, vol. 6(10), pages 1386-1397, October.
    2. Sarojini Hirshleifer, 2017. "Incentives for Effort or Outputs? A Field Experiment to Improve Student Performance," Working Papers 201701, University of California at Riverside, Department of Economics.
    3. Blumenstock, Joshua E. & Eagle, Nathan & Fafchamps, Marcel, 2016. "Airtime transfers and mobile communications: Evidence in the aftermath of natural disasters," Journal of Development Economics, Elsevier, vol. 120(C), pages 157-181.
    4. Catia Batista & Pedro Vicente & Marcel Fafchamps, 2018. "Keep It Simple: A field experiment on information sharing in social networks," NOVAFRICA Working Paper Series wp1801, Universidade Nova de Lisboa, Nova School of Business and Economics, NOVAFRICA.
    5. Emily Breza & Martin Kanz & Leora Klapper, 2017. "Scarcity at the End of the Month: First Results from a Field Experiment in Bangladesh," Working Papers id:11993, eSocialSciences.

  17. Joshua Blumenstock & Nathan Eagle & Marcel Fafchamps, 2011. "Risk and Reciprocity Over the Mobile Phone Network: Evidence from Rwanda," CSAE Working Paper Series 2011-19, Centre for the Study of African Economies, University of Oxford.

    Cited by:

    1. Haseeb Ahmed & Benjamin W. Cowan, 2019. "Mobile Money and Healthcare Use: Evidence from East Africa," NBER Working Papers 25669, National Bureau of Economic Research, Inc.
    2. Thorsten Beck & Robert Cull, 2013. "Banking in Africa," CSAE Working Paper Series 2013-16, Centre for the Study of African Economies, University of Oxford.
    3. Cull,Robert J. & Gine,Xavier & Harten,Sven & Rusu,Anca Bogdana, 2017. "Agent banking in a highly under-developed financial sector : evidence from the Democratic Republic of Congo," Policy Research Working Paper Series 7984, The World Bank.
    4. Shinya Obayashi & Misato Inaba & Tetsushi Ohdaira & Toko Kiyonari, 2023. "It’s my turn: empirical evidence of upstream indirect reciprocity in society through a quasi-experimental approach," Journal of Computational Social Science, Springer, vol. 6(2), pages 1055-1079, October.
    5. Francis Rathinam & Sayak Khatua & Zeba Siddiqui & Manya Malik & Pallavi Duggal & Samantha Watson & Xavier Vollenweider, 2021. "Using big data for evaluating development outcomes: A systematic map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(3), September.
    6. Xin Lu & David J. Wrathall & Pål Roe Sundsøy & Md. Nadiruzzaman & Erik Wetter & Asif Iqbal & Taimur Qureshi & Andrew J. Tatem & Geoffrey S. Canright & Kenth Engø-Monsen & Linus Bengtsson, 2016. "Detecting climate adaptation with mobile network data in Bangladesh: anomalies in communication, mobility and consumption patterns during cyclone Mahasen," Climatic Change, Springer, vol. 138(3), pages 505-519, October.
    7. Jennifer Helgeson & Simon Dietz & Stefan Hochrainer-Stigler, 2012. "Vulnerability to weather disasters: the choice of coping strategies in rural Uganda," GRI Working Papers 91, Grantham Research Institute on Climate Change and the Environment.

Articles

  1. 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.

    Cited by:

    1. 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).
    2. 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).
    3. Okamura, Yuko & Ohlenburg, Tim & Tesliuc, Emil, 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.
    4. Van Der Weide,Roy & Blankespoor,Brian & Elbers,Chris T.M. & Lanjouw,Peter F., 2022. "How Accurate Is a Poverty Map Based on Remote Sensing Data ? An Application to Malawi," Policy Research Working Paper Series 10171, The World Bank.
    5. 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.
    6. Sinha Roy, Sutirtha & van der Weide, Roy, 2025. "Estimating poverty for India after 2011 using private-sector survey data," Journal of Development Economics, Elsevier, vol. 172(C).
    7. Corral, Paul & Henderson, Heath & Segovia, Sandra, 2025. "Poverty mapping in the age of machine learning," Journal of Development Economics, Elsevier, vol. 172(C).
    8. Yuko Okamura & Tim Ohlenburg & Emil Tesliuc, 2024. "Scaling up Social Assistance Where Data is Scarce," World Bank Publications - Reports 41548, The World Bank Group.
    9. 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. 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. 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).
    2. 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).
    3. Okamura, Yuko & Ohlenburg, Tim & Tesliuc, Emil, 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.
    4. 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.
    5. Emily Aiken & Anik Ashraf & Joshua E. Blumenstock & Raymond P. Guiteras & Ahmed Mushfiq Mobarak, 2025. "Scalable Targeting of Social Protection: When Do Algorithms Out-Perform Surveys and Community Knowledge?," CESifo Working Paper Series 11928, CESifo.
    6. 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.
    7. 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.
    8. Ali Shirali & Ariel Procaccia & Rediet Abebe, 2025. "The Hidden Cost of Waiting for Accurate Predictions," Papers 2503.00650, arXiv.org.
    9. 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.
    10. Paolo Verme, 2025. "Predicting Poverty," Papers 2505.05958, arXiv.org.
    11. 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.
    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. Federico Crippa, 2024. "Regret Analysis in Threshold Policy Design," Papers 2404.11767, arXiv.org, revised Apr 2025.
    15. Rolando Gonzales Martinez & Mariza Cooray, 2025. "Enhancing Poverty Targeting with Spatial Machine Learning: An application to Indonesia," Papers 2503.04300, arXiv.org.
    16. 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.
    17. 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.
    18. 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.
    19. Verme, Paolo, 2023. "Predicting Poverty with Missing Incomes," GLO Discussion Paper Series 1260, Global Labor Organization (GLO).
    20. Baez, Javier E. & Kshirsagar, Varun & Skoufias, Emmanuel, 2024. "Drought-sensitive targeting and child growth faltering in Southern Africa," World Development, Elsevier, vol. 182(C).
    21. 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).
    22. Corral, Paul & Henderson, Heath & Segovia, Sandra, 2025. "Poverty mapping in the age of machine learning," Journal of Development Economics, Elsevier, vol. 172(C).
    23. 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.
    24. 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.
    25. 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).
    26. 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).
    27. 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.
    28. Yuko Okamura & Tim Ohlenburg & Emil Tesliuc, 2024. "Scaling up Social Assistance Where Data is Scarce," World Bank Publications - Reports 41548, The World Bank Group.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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).
    35. Marcus Buckmann & Quynh Anh Nguyen & Edward Hill, 2025. "Revealing economic facts: LLMs know more than they say," Papers 2505.08662, arXiv.org.
    36. Juan Carlos Perdomo, 2023. "The Relative Value of Prediction in Algorithmic Decision Making," Papers 2312.08511, arXiv.org, revised May 2024.

  3. Guanghua Chi & Han Fang & Sourav Chatterjee & Joshua E. Blumenstock, 2022. "Microestimates of wealth for all low- and middle-income countries," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(3), pages 2113658119-, January.
    See citations under working paper version above.
  4. Xiao Hui Tai & Shikhar Mehra & Joshua E. Blumenstock, 2022. "Mobile phone data reveal the effects of violence on internal displacement in Afghanistan," Nature Human Behaviour, Nature, vol. 6(5), pages 624-634, May.

    Cited by:

    1. Vesco, P. & Baliki, G. & Brück, T. & Döring, S. & Eriksson, A. & Fjelde, H. & Guha-Sapir, D. & Hall, J. & Knutsen, C. H. & Leis, M. R. & Mueller, H. & Rauh, C. & Rudolfsen, I. & Swain, A., 2024. "The Impacts of Armed Conflict on Human Development," Janeway Institute Working Papers 2426, Faculty of Economics, University of Cambridge.
    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. Jafarov, Jafar & Singh, Tejendra Pratap, 2024. "Harvesting Hunger: The Impact of Opium Ban on Food Security in Afghanistan," OSF Preprints bm3yw, Center for Open Science.
    4. Vesco, Paola & Baliki, Ghassan & Brück, Tilman & Döring, Stefan & Eriksson, Anneli & Fjelde, Hanne & Guha-Sapir, Debarati & Hall, Jonathan & Knutsen, Carl Henrik & Leis, Maxine R. & Mueller, Hannes & , 2025. "The impacts of armed conflict on human development: A review of the literature," World Development, Elsevier, vol. 187(C).

  5. Guanghua Chi & Fengyang Lin & Guangqing Chi & Joshua Blumenstock, 2020. "A general approach to detecting migration events in digital trace data," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-17, October.

    Cited by:

    1. Calogero Carletto & Marco Letta & Pierluigi Montalbano & Adriana Paolantonio & Alberto Zezza, 2024. "Too rare to dare? Leveraging household surveys to boost research on climate migration," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 51(4), pages 1069-1093.
    2. Letta,Marco & Montalbano,Pierluigi & Paolantonio,Adriana, 2022. "Understanding the Climate Change-Migration Nexus through the Lens of Household Surveys: An Empirical Review to Assess Data Gaps," Policy Research Working Paper Series 10082, The World Bank.
    3. Alina Sîrbu & Diletta Goglia & Jisu Kim & Paul Maximilian Magos & Laura Pollacci & Spyridon Spyratos & Giulio Rossetti & Stefano Maria Iacus, 2024. "International mobility between the UK and Europe around Brexit: a data-driven study," Journal of Computational Social Science, Springer, vol. 7(2), pages 1451-1482, October.
    4. Kirchberger, Martina, 2021. "Measuring internal migration," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    5. Xiao Hui Tai & Shikhar Mehra & Joshua E. Blumenstock, 2022. "Mobile phone data reveal the effects of violence on internal displacement in Afghanistan," Nature Human Behaviour, Nature, vol. 6(5), pages 624-634, May.

  6. Joshua Blumenstock & Michael Callen & Tarek Ghani, 2018. "Why Do Defaults Affect Behavior? Experimental Evidence from Afghanistan," American Economic Review, American Economic Association, vol. 108(10), pages 2868-2901, October.
    See citations under working paper version above.
  7. Joshua Blumenstock, 2018. "Don’t forget people in the use of big data for development," Nature, Nature, vol. 561(7722), pages 170-172, September.

    Cited by:

    1. Galaz, Victor & Centeno, Miguel A. & Callahan, Peter W. & Causevic, Amar & Patterson, Thayer & Brass, Irina & Baum, Seth & Farber, Darryl & Fischer, Joern & Garcia, David & McPhearson, Timon & Jimenez, 2021. "Artificial intelligence, systemic risks, and sustainability," Technology in Society, Elsevier, vol. 67(C).
    2. Emily Aiken & Suzanne Bellue & Dean Karlan & Christopher R. Udry & Joshua Blumenstock, 2021. "Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance," NBER Working Papers 29070, National Bureau of Economic Research, Inc.
    3. 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.

  8. Joshua E. Blumenstock, 2018. "Estimating Economic Characteristics with Phone Data," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 72-76, May.

    Cited by:

    1. Mathieu J. P. Poirier & Karen A. Grépin & Michel Grignon, 2020. "Approaches and Alternatives to the Wealth Index to Measure Socioeconomic Status Using Survey Data: A Critical Interpretive Synthesis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 1-46, February.
    2. Patacchini, Eleonora & Barwick, Panle Jia & Liu, Yanyan & Wu, Qi, 2019. "Information, Mobile Communication, and Referral Effects," CEPR Discussion Papers 13786, C.E.P.R. Discussion Papers.
    3. Katy Bergstrom & William Dodds & Nicholas Lacoste & Juan Rios, 2025. "Estimating the Welfare Cost of Labor Supply Frictions," Working Papers 2503, Tulane University, Department of Economics.
    4. Guanghua Chi & Han Fang & Sourav Chatterjee & Joshua E. Blumenstock, 2022. "Microestimates of wealth for all low- and middle-income countries," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(3), pages 2113658119-, January.
    5. Erlström, Andreas & Grillitsch, Markus & Hall, Ola, 2020. "The Geography of Connectivity: Trails of Mobile Phone Data," Papers in Innovation Studies 2020/6, Lund University, CIRCLE - Centre for Innovation Research.
    6. Marcel Fafchamps & Mans Soderbom & Monique vanden Boogaart, 2016. "Adoption with Social Learning and Network Externalities," NBER Working Papers 22282, National Bureau of Economic Research, Inc.
    7. Daniel Bjorkegren & Joshua E. Blumenstock & Samsun Knight, 2020. "Manipulation-Proof Machine Learning," Papers 2004.03865, arXiv.org.
    8. 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.
    9. Francis Rathinam & Sayak Khatua & Zeba Siddiqui & Manya Malik & Pallavi Duggal & Samantha Watson & Xavier Vollenweider, 2021. "Using big data for evaluating development outcomes: A systematic map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(3), September.
    10. Francisco H. G. Ferreira & Paolo Brunori, 2025. "Inherited Inequality, Meritocracy, and the Purpose of Economic Growth," Working Papers 681, ECINEQ, Society for the Study of Economic Inequality.
    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. Andreas Erlström & Markus Grillitsch & Ola Hall, 2022. "The geography of connectivity: a review of mobile positioning data for economic geography," Journal of Geographical Systems, Springer, vol. 24(4), pages 679-707, October.
    13. Emily Aiken & Suzanne Bellue & Dean Karlan & Christopher R. Udry & Joshua Blumenstock, 2021. "Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance," NBER Working Papers 29070, National Bureau of Economic Research, Inc.
    14. 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.
    15. 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. Blumenstock, Joshua E. & Eagle, Nathan & Fafchamps, Marcel, 2016. "Airtime transfers and mobile communications: Evidence in the aftermath of natural disasters," Journal of Development Economics, Elsevier, vol. 120(C), pages 157-181.

    Cited by:

    1. Markus K. Brunnermeier & Nicola Limodio & Lorenzo Spadavecchia, 2023. "Mobile Money, Interoperability and Financial Inclusion," Working Papers 696, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    2. Apoorv Gupta & Jacopo Ponticelli & Andrea Tesei, 2019. "Technology Adoption and Access to Credit via Mobile Phones," Working Papers 892, Queen Mary University of London, School of Economics and Finance.
    3. Naito, Hisahiro & Yamamoto, Shinnosuke, 2022. "Is better access to mobile networks associated with increased mobile money adoption? Evidence from the micro-data of six developing countries," Telecommunications Policy, Elsevier, vol. 46(6).
    4. Joshua Blumenstock & Michael Callen & Tarek Ghani, 2018. "Why Do Defaults Affect Behavior? Experimental Evidence from Afghanistan," American Economic Review, American Economic Association, vol. 108(10), pages 2868-2901, October.
    5. Nakasone, Eduardo & Torero, Maximo, 2016. "A text message away: ICTs as a tool to improve food security," MPRA Paper 75854, University Library of Munich, Germany.
    6. Atangana Ondoa, Henri & Ambombo Bella, Genevieve Lareine & Mbenga Bindop, Kunz Modeste, 2023. "Mobile money, family assistance and welfare in Cameroon," Telecommunications Policy, Elsevier, vol. 47(1).
    7. Mahmud, Mahreen & Riley, Emma, 2021. "Household response to an extreme shock: Evidence on the immediate impact of the Covid-19 lockdown on economic outcomes and well-being in rural Uganda," World Development, Elsevier, vol. 140(C).
    8. Konstantin B chel & Maximilian von Ehrlich, 2016. "Cities and the Structure of Social Interactions: Evidence from Mobile Phone Data," Diskussionsschriften dp1608, Universitaet Bern, Departement Volkswirtschaft.
    9. Cull,Robert J. & Gine,Xavier & Harten,Sven & Rusu,Anca Bogdana, 2017. "Agent banking in a highly under-developed financial sector : evidence from the Democratic Republic of Congo," Policy Research Working Paper Series 7984, The World Bank.
    10. Parag Mahajan & Dean Yang, 2017. "Taken by Storm: Hurricanes, Migrant Networks, and U.S. Immigration," Working Papers 17-50, Center for Economic Studies, U.S. Census Bureau.
    11. Daniel Björkegren, 2017. "Scoping for: Competition in Network Industries: Evidence from Mobile Telecommunications in Rwanda," Working Papers 17-10, NET Institute.
    12. Patrick-Hervé Mbouombouo Mfossa, 2022. "Mobile money-driven financial inclusion, exposure to shocks and households' financial resilience strategies adoption process: Evidence from Cameroon [Inclusion financière via le mobile money, expos," Working Papers hal-03614064, HAL.
    13. Johanna Choumert-Nkolo & Anais LAMOUR & Pascale PHELINAS, 2020. "The Economics of Volcanoes," Working Papers 2020.23, FAERE - French Association of Environmental and Resource Economists.
    14. Abiona, Olukorede & Koppensteiner, Martin Foureaux, 2018. "Financial Inclusion, Shocks and Poverty: Evidence from the Expansion of Mobile Money in Tanzania," IZA Discussion Papers 11928, Institute of Labor Economics (IZA).
    15. Bahia,Kalvin & Castells,Pau & Masaki,Takaaki & Cruz,Genaro & Rodriguez Castelan,Carlos & Sanfelice,Viviane, 2021. "Mobile Broadband Internet, Poverty and Labor Outcomes in Tanzania," Policy Research Working Paper Series 9749, The World Bank.
    16. Joshua E. Blumenstock & Michael Callen & Tarek Ghani & Robert Gonzalez, 2024. "Violence and Financial Decisions: Evidence from Mobile Money in Afghanistan," The Review of Economics and Statistics, MIT Press, vol. 106(2), pages 352-369, March.
    17. A.T.M. Hasibul, Islam & Syed Abul, Basher & A.K. Enamul, Haque, 2019. "The Impact of Mobile Money on Long-Term Poverty: Evidence from Bangladesh," MPRA Paper 97466, University Library of Munich, Germany.
    18. Guo, Feng & Huang, Yiping & Wang, Jingyi & Wang, Xue, 2022. "The informal economy at times of COVID-19 pandemic," China Economic Review, Elsevier, vol. 71(C).
    19. Désiré Avom & Chrysost Bangake & Hermann Ndoya, 2023. "Do financial innovations improve financial inclusion? Evidence from mobile money adoption in Africa," Post-Print hal-04125452, HAL.
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    21. Beine, Michel & Bertinelli, Luisito & Cömertpay, Rana & Litina, Anastasia & Maystadt, Jean-François, 2021. "A gravity analysis of refugee mobility using mobile phone data," Journal of Development Economics, Elsevier, vol. 150(C).
    22. Emmanuel Kwablah Apiors & Aya Suzuki, 2018. "Mobile Money, Individuals’ Payments, Remittances, and Investments: Evidence from the Ashanti Region, Ghana," Sustainability, MDPI, vol. 10(5), pages 1-26, May.
    23. Choung, Youngjoo & Chatterjee, Swarn & Pak, Tae-Young, 2023. "Digital Financial Literacy and Financial Well-Being," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue Journal P, pages 1-1.
    24. Carolina Mattsson, 2019. "Networks of monetary flow at native resolution," Papers 1910.05596, arXiv.org.
    25. Michel Beine & Luisito Bertinelli & rana Comertpay & Anastasia Litina & Jean-François Maystadt & Benteng Zou, 2019. "Refugee Mobility: Evidence from Phone Data in Turkey," DEM Discussion Paper Series 19-01, Department of Economics at the University of Luxembourg.
    26. Stefanija Veljanoska, 2022. "Do Remittances Promote Fertilizer Use? The Case of Ugandan Farmers," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 273-293, January.
    27. Marcel Fafchamps & Mans Soderbom & Monique vanden Boogaart, 2016. "Adoption with Social Learning and Network Externalities," NBER Working Papers 22282, National Bureau of Economic Research, Inc.
    28. Jean-Philippe Berrou & François Combarnous & Thomas Eekhout, 2017. "Les TIC : une réponse au défi du développement des micro et petites entreprises informelles en Afrique sub-saharienne ?," Working Papers hal-02148324, HAL.
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    30. Jayson S. Jia & Yiwei Li & Xin Lu & Yijian Ning & Nicholas A. Christakis & Jianmin Jia, 2021. "Triadic embeddedness structure in family networks predicts mobile communication response to a sudden natural disaster," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    31. Zhang, Chen & Li, Yanjun, 2025. "Digital inclusive finance harvest: Cultivating creditworthiness for small agricultural businesses," Pacific-Basin Finance Journal, Elsevier, vol. 91(C).
    32. Abhijit Banerjee & Emily Breza & Arun G Chandrasekhar & Esther Duflo & Matthew O Jackson & Cynthia Kinnan, 2024. "Changes in Social Network Structure in Response to Exposure to Formal Credit Markets," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(3), pages 1331-1372.
    33. Comola, Margherita & Prina, Silvia, 2023. "The Interplay among Savings Accounts and Network-Based Financial Arrangements: Evidence from a Field Experiment," IZA Discussion Papers 16303, Institute of Labor Economics (IZA).
    34. Beck,Thorsten & Cull,Robert J. & Mare,Davide Salvatore & Valenzuela,Patricio, 2023. "Banking in Africa : Opportunities and Challenges in Volatile Times," Policy Research Working Paper Series 10632, The World Bank.
    35. Aron, Janine, 2017. "'Leapfrogging': a Survey of the Nature and Economic Implications of Mobile Money," INET Oxford Working Papers 2017-02, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    36. Lashitew, Addisu A. & van Tulder, Rob & Liasse, Yann, 2019. "Mobile phones for financial inclusion: What explains the diffusion of mobile money innovations?," Research Policy, Elsevier, vol. 48(5), pages 1201-1215.
    37. 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.
    38. Milusheva,Sveta, 2020. "Using Mobile Phone Data to Reduce Spread of Disease," Policy Research Working Paper Series 9198, The World Bank.
    39. Alperovych, Yan & Divakaruni, Anantha & Le Grand, François, 2022. "FinTech Lending under Austerity," SocArXiv atsk9, Center for Open Science.
    40. Divakaruni, Anantha & Alperovych, Yan & Le Grand, François, 2022. "FinTech Lending under Austerity," OSF Preprints m4tps, Center for Open Science.
    41. Jana Hamdan & Yuanwei Xu, 2022. "COVID-19 Lockdown Compliance, Financial Stress, and Acceleration in Technology Adoption in Rural Uganda," Discussion Papers of DIW Berlin 2007, DIW Berlin, German Institute for Economic Research.
    42. Callen, Michael & Blumenstock, Joshua & Ghani, Tarek, 2016. "Mobile-izing Savings with Automatic Contributions: Experimental Evidence on Present Bias and Default Effects in Afghanistan," CEPR Discussion Papers 11400, C.E.P.R. Discussion Papers.
    43. Riley, Emma, 2018. "Mobile money and risk sharing against village shocks," Journal of Development Economics, Elsevier, vol. 135(C), pages 43-58.
    44. Michel Beine & Luisito Bertinelli & Rana Comertpay & Anastasia Litina & Jean-Francois Maystadt, 2020. "The Gravity Model of Forced Displacement Using Mobile Phone Data," Working Papers 293574571, Lancaster University Management School, Economics Department.
    45. Takahashi, Kazushi, 2016. "Mobile Phone Expansion, Informal Risk Sharing, and Consumption Smoothing: Evidence from Rural Uganda," MPRA Paper 75135, University Library of Munich, Germany.
    46. Blumenstock, Joshua & Callen, Michael & Faikina, Anastasiia & Fiorin, Stefano & Ghani, Tarek, 2023. "Strengthening Fragile States: Evidence from Mobile Salary Payments in Afghanistan," CEPR Discussion Papers 18254, C.E.P.R. Discussion Papers.
    47. Apoorv Gupta & Jacopo Ponticelli & Andrea Tesei, 2020. "Language Barriers, Technology Adoption and Productivity: Evidence from Agriculture in India," NBER Working Papers 27192, National Bureau of Economic Research, Inc.
    48. Hisahiro Naito & Shinnosuke Yamamoto, 2022. "Is Better Access to Mobile Networks Associated with Increased Mobile Money Adoption? Evidence from the Micro-data of Six Developing Countries," Tsukuba Economics Working Papers 2022-001, Faculty of Humanities and Social Sciences, University of Tsukuba.
    49. Kass-Hanna, Josephine & Lyons, Angela C. & Liu, Fan, 2022. "Building financial resilience through financial and digital literacy in South Asia and Sub-Saharan Africa," Emerging Markets Review, Elsevier, vol. 51(PA).
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    51. Askar Ismailov & Albert Benson Kimaro & Hisahiro Naito, 2019. "The Effect of Mobile Money Usage on Borrowing, Saving, and Receiving Remittances: Evidence from Tanzania," Tsukuba Economics Working Papers 2019-002, Faculty of Humanities and Social Sciences, University of Tsukuba.
    52. Naito, Hisahiro & Ismailov, Askar & Kimaro, Albert Benson, 2021. "The effect of mobile money on borrowing and saving: Evidence from Tanzania," World Development Perspectives, Elsevier, vol. 23(C).
    53. Michael A. Clemens & Timothy N. Ogden, 2020. "Migration and household finances: How a different framing can improve thinking about migration," Development Policy Review, Overseas Development Institute, vol. 38(1), pages 3-27, January.
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    61. Kayenat Kabir, 2023. "What Do We Know About Drought, Household Consumption and Seasonality: Evidence Review from Sub-Saharan Africa," Economics of Disasters and Climate Change, Springer, vol. 7(3), pages 303-317, November.
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