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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 & González, Roberto, 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. 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. Johannes Haushofer & Paul Niehaus & Carlos Paramo & Edward Miguel & Michael W. Walker, 2022. "Targeting Impact versus Deprivation," NBER Working Papers 30138, National Bureau of Economic Research, Inc.

  3. 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. Brummund, Peter & Makowsky, Michael D., 2024. "Monopsony and Local Religious Clubs: Evidence from Indonesia," IZA Discussion Papers 16999, Institute of Labor Economics (IZA).

  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, 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.

  5. 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. Nathan Ratledge & Gabriel Cadamuro & Brandon De la Cuesta & Matthieu Stigler & Marshall Burke, 2021. "Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access," NBER Working Papers 29237, National Bureau of Economic Research, Inc.
    2. 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.
    3. Lee, Kamwoo & Braithwaite, Jeanine, 2022. "High-resolution poverty maps in Sub-Saharan Africa," World Development, Elsevier, vol. 159(C).
    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.
    5. 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).
    6. 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).
    7. 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.
    8. 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).

  6. 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.

  7. 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. 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.
    2. 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.
    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.

  8. 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 313801, International Association of Agricultural Economists.
    2. 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.
    3. 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.

  9. 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. Roshni Sahoo & Stefan Wager, 2022. "Policy Learning with Competing Agents," Papers 2204.01884, arXiv.org, revised Apr 2024.
    3. 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.
    4. Meena Jagadeesan & Celestine Mendler-Dunner & Moritz Hardt, 2021. "Alternative Microfoundations for Strategic Classification," Papers 2106.12705, arXiv.org.
    5. Elliott Ash & Sergio Galletta & Tommaso Giommoni, 2021. "A Machine Learning Approach to Analyze and Support Anti-Corruption Policy," CESifo Working Paper Series 9015, CESifo.
    6. 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).

  10. 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. 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).
    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. 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).
    4. 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).
    5. 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.
    6. Simone Bertoli & Ilse Ruyssen, 2018. "Networks and migrants’ intended destination," Journal of Economic Geography, Oxford University Press, vol. 18(4), pages 705-728.
    7. 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.
    8. Kirchberger, Martina, 2021. "Measuring internal migration," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    9. Barsbai, Toman & Licuanan, Victoria & Steinmayr, Andreas & Tiongson, Erwin & Yang, Dean, 2024. "Information and immigrant settlement," Journal of Development Economics, Elsevier, vol. 170(C).
    10. Selod, Harris & Shilpi, Forhad, 2021. "Rural-urban migration in developing countries: Lessons from the literature," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    11. 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).
    12. Tian, Yuan & Caballero, Maria Esther & Kovak, Brian K., 2022. "Social learning along international migrant networks," Journal of Economic Behavior & Organization, Elsevier, vol. 195(C), pages 103-121.
    13. 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.
    14. 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.
    15. 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.
    16. Harshil Sahai & Michael Bailey, 2022. "Social Networks and Spatial Mobility: Evidence from Facebook in India," Papers 2203.05595, arXiv.org.
    17. 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.
    18. 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.
    19. 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.
    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).

  11. 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. 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).
    2. 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).
    3. 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).
    4. Barrett, Philip, 2022. "The fiscal cost of conflict: Evidence from Afghanistan 2005–2017," World Development, Elsevier, vol. 157(C).
    5. Bernal, C & Ortiz, M & Prem, M & Vargas, J. F, 2022. "Peaceful Entry: Entrepreneurship Dynamics During Colombia s Peace Agreement," Documentos de Trabajo 19938, Universidad del Rosario.
    6. 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.
    7. Ksoll, Christopher & Macchiavello, Rocco & Morjaria, Ameet, 2023. "Electoral violence and supply chain disruptions in Kenya's floriculture industry," LSE Research Online Documents on Economics 112128, London School of Economics and Political Science, LSE Library.
    8. Matteo Neri-Lainé, 2024. "Firms under fire! How insecurity affects formal firms’ existence," Working Papers DT/2024/09, DIAL (Développement, Institutions et Mondialisation).
    9. Mr. Philip Barrett, 2018. "The Fiscal Cost of Conflict: Evidence from Afghanistan 2005-2016," IMF Working Papers 2018/204, International Monetary Fund.

  12. 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. 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.
    3. Paul Heidhues & Mats Köster & Botond Kőszegi & Botond Köszegi, 2024. "A Theory of Digital Ecosystems," CESifo Working Paper Series 11332, CESifo.
    4. Spantig, Lisa, 2019. "Cash in Hand and Savings Decisions," Rationality and Competition Discussion Paper Series 180, CRC TRR 190 Rationality and Competition.
    5. 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.
    6. 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, Osaka University, revised Mar 2023.
    7. Yoonyoung Cho, 2024. "Entrepreneurship for the poor in developing countries," IZA World of Labor, Institute of Labor Economics (IZA), pages 167-167, April.
    8. Benjamin Enke & Thomas Graeber & Ryan Oprea & Thomas W. Graeber, 2023. "Complexity and Hyperbolic Discounting," CESifo Working Paper Series 10861, CESifo.
    9. Lars Behlen & Oliver Himmler & Robert Jäckle, 2023. "Defaults and effortful tasks," Experimental Economics, Springer;Economic Science Association, vol. 26(5), pages 1022-1059, November.
    10. Blumenstock, Joshua & Callen, Mike & Ghani, Tarek & González, Roberto, 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.
    11. Tourek, Gabriel, 2022. "Targeting in tax behavior: Evidence from Rwandan firms," Journal of Development Economics, Elsevier, vol. 158(C).
    12. 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.
    13. 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.
    14. 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.
    15. Antinyan, Armenak & Asatryan, Zareh, 2024. "Nudging for tax compliance: A meta-analysis," ZEW Discussion Papers 24-054, ZEW - Leibniz Centre for European Economic Research.
    16. Catia Batista & Pedro C. Vicente, 2021. "Is Mobile Money Changing Rural Africa? Evidence from a Field Experiment," RF Berlin - CReAM Discussion Paper Series 2116, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    17. 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.
    18. 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.
    19. 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).
    20. Katharina Momsen & Sebastian O. Schneider, 2022. "Motivated Reasoning, Information Avoidance, and Default Bias," Working Papers 2022-05, Faculty of Economics and Statistics, Universität Innsbruck.
    21. John Beshears & James J. Choi & David Laibson & Brigitte C. Madrian & William L. Skimmyhorn, 2022. "Borrowing to Save? The Impact of Automatic Enrollment on Debt," Journal of Finance, American Finance Association, vol. 77(1), pages 403-447, February.
    22. 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.
    23. 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.
    24. Leora Klapper, 2023. "How digital payments can benefit entrepreneurs," IZA World of Labor, Institute of Labor Economics (IZA), pages 396-396, April.
    25. Goldin, Jacob & Homonoff, Tatiana & Patterson, Richard & Skimmyhorn, William, 2020. "How much to save? Decision costs and retirement plan participation," Journal of Public Economics, Elsevier, vol. 191(C).
    26. 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.
    27. Batista, Catia & Vicente, Pedro C., 2020. "Improving access to savings through mobile money: Experimental evidence from African smallholder farmers," World Development, Elsevier, vol. 129(C).
    28. Giné, Xavier & Goldberg, Jessica, 2023. "Experience in financial decision-making: Field evidence from Malawi," Journal of Development Economics, Elsevier, vol. 161(C).
    29. 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.
    30. Emma Riley, 2022. "Resisting Social Pressure in the Household Using Mobile Money: Experimental Evidence on Microenterprise Investment in Uganda," CSAE Working Paper Series 2022-04, Centre for the Study of African Economies, University of Oxford.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. Atasoy, Ayse Tugba & Madlener, Reinhard, 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).
    40. 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.
    41. 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.
    42. 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.
    43. 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.
    44. 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.
    45. Ginzburg, Boris & Guerra, Jose Alberto & Lekfuangfu, Warn N., 2023. "Critical mass in collective action," Documentos CEDE 20819, Universidad de los Andes, Facultad de Economía, CEDE.
    46. 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.
    47. 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.
    48. 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.
    49. 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.

  13. 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 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. 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.
    4. 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.
    5. 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.
    6. 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.

  14. 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. 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.
    3. 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.
    4. 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.
    5. Beck, Thorsten & Cull, Robert, 2013. "Banking in Africa," Policy Research Working Paper Series 6684, The World Bank.
    6. 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. 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.

  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. 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. Baez, Javier E. & Kshirsagar, Varun & Skoufias, Emmanuel, 2024. "Drought-sensitive targeting and child growth faltering in Southern Africa," World Development, Elsevier, vol. 182(C).
    6. 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).
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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).
    12. 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.
    13. 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.
    14. 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).
    15. 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.
    16. Verme, Paolo, 2023. "Predicting Poverty with Missing Incomes," GLO Discussion Paper Series 1260, Global Labor Organization (GLO).
    17. 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).
    18. 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.
    19. 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.

  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. Kirchberger, Martina, 2021. "Measuring internal migration," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    2. 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.
    3. 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. 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.
    2. 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).

  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. 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.
    2. Daniel Bjorkegren & Joshua E. Blumenstock & Samsun Knight, 2020. "Manipulation-Proof Machine Learning," Papers 2004.03865, arXiv.org.
    3. 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.
    4. 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.
    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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    11. 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.

  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. 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.
    2. 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).
    3. 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.
    4. 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).
    5. 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).
    6. 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.
    7. 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.
    8. Daniel Björkegren, 2017. "Scoping for: Competition in Network Industries: Evidence from Mobile Telecommunications in Rwanda," Working Papers 17-10, NET Institute.
    9. 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.
    10. Johanna Choumert-Nkolo & Anais LAMOUR & Pascale PHELINAS, 2020. "The Economics of Volcanoes," Working Papers 2020.23, FAERE - French Association of Environmental and Resource Economists.
    11. 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).
    12. 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.
    13. 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).
    14. Xu, Dafeng, 2017. "Acculturational homophily," Economics of Education Review, Elsevier, vol. 59(C), pages 29-42.
    15. 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).
    16. 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.
    17. 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.
    18. Blumenstock, Joshua & Callen, Mike & Ghani, Tarek & González, Roberto, 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.
    19. Carolina Mattsson, 2019. "Networks of monetary flow at native resolution," Papers 1910.05596, arXiv.org.
    20. 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.
    21. 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.
    22. 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.
    23. Catia Batista & Pedro C. Vicente, 2021. "Is Mobile Money Changing Rural Africa? Evidence from a Field Experiment," RF Berlin - CReAM Discussion Paper Series 2116, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    24. 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.
    25. 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).
    26. 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.
    27. Alperovych, Yan & Divakaruni, Anantha & Le Grand, François, 2022. "FinTech Lending under Austerity," SocArXiv atsk9, Center for Open Science.
    28. 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.
    29. Riley, Emma, 2018. "Mobile money and risk sharing against village shocks," Journal of Development Economics, Elsevier, vol. 135(C), pages 43-58.
    30. Parag Mahajan & Dean Yang, 2020. "Taken by Storm: Hurricanes, Migrant Networks, and US Immigration," American Economic Journal: Applied Economics, American Economic Association, vol. 12(2), pages 250-277, April.
    31. 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).
    32. Kabengele, Christian & Hahn, Rüdiger, 2021. "Institutional and firm-level factors for mobile money adoption in emerging markets–A configurational analysis," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    33. Patrick-Hervé Mbouombouo Mfossa, 2019. "Mobile Money-Driven Financial Inclusion and Financial Resilience in Sub-Saharan Africa: Insights from Cameroon [L’inclusion financière via le mobile money et résilience financière en Afrique Subsah," Post-Print hal-03622403, HAL.
    34. Gonzalez, Robert & Maffioli, Elisa M., 2024. "Is the phone mightier than the virus? Cellphone access and epidemic containment efforts," Journal of Development Economics, Elsevier, vol. 167(C).
    35. Andrea Cinque & Lennart Reiners, 2022. "Confined to Stay: Natural Disasters and Indonesia's Migration Ban," CESifo Working Paper Series 9837, CESifo.
    36. Lu, Wei & Yang, Po & Zheng, Shilin & Zhou, Sen, 2023. "Natural disasters and high-stakes exam performance: Evidence from the 2008 Wenchuan earthquake," China Economic Review, Elsevier, vol. 77(C).
    37. Brunnermeier, Markus & Limodio, Nicola & Spadavecchia, Lorenzo, 2023. "Mobile Money, Interoperability and Financial Inclusion," CEPR Discussion Papers 18124, C.E.P.R. Discussion Papers.
    38. 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.
    39. Lody M. Bueri & Diana E. Schvarztein & Ignacio E. Carballo, 2019. "Retos de las microfinanzas en Argentina: nueva evidencia empírica en base a encuestas al sector nacional," Ensayos de Política Económica, Departamento de Investigación Francisco Valsecchi, Facultad de Ciencias Económicas, Pontificia Universidad Católica Argentina., vol. 3(1), pages 131-169, Octubre.
    40. Carolina E S Mattsson & Teodoro Criscione & Frank W Takes, 2022. "Circulation of a digital community currency," Papers 2207.08941, arXiv.org, revised Jun 2023.
    41. Francis Annan & Belinda Archibong, 2023. "The Value of Communication for Mental Health," NBER Working Papers 31638, National Bureau of Economic Research, Inc.
    42. 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.
    43. 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.
    44. 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.
    45. 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.
    46. Aron, Janine, "undated". "'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, revised Jan 2017.
    47. Milusheva,Sveta, 2020. "Using Mobile Phone Data to Reduce Spread of Disease," Policy Research Working Paper Series 9198, The World Bank.
    48. Divakaruni, Anantha & Alperovych, Yan & Le Grand, François, 2022. "FinTech Lending under Austerity," OSF Preprints m4tps, Center for Open Science.
    49. 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.
    50. 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.
    51. Takahashi, Kazushi, 2016. "Mobile Phone Expansion, Informal Risk Sharing, and Consumption Smoothing: Evidence from Rural Uganda," MPRA Paper 75135, University Library of Munich, Germany.
    52. 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.
    53. 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.
    54. 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.
    55. 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).
    56. 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.
    57. Putman, Daniel S., 2020. "The Scope of Risk Pooling," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304480, Agricultural and Applied Economics Association.
    58. Avom, Désiré & Bangaké, Chrysost & Ndoya, Hermann, 2023. "Do financial innovations improve financial inclusion? Evidence from mobile money adoption in Africa," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    59. 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.
    60. Milusheva, Sveta, 2020. "Managing the spread of disease with mobile phone data," Journal of Development Economics, Elsevier, vol. 147(C).
    61. 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.
    62. M. Ali Choudhary & Anil K. Jain, 2022. "Credit access and relational contracts: An experiment testing informational and contractual frictions for Pakistani farmers," International Finance Discussion Papers 2022, Board of Governors of the Federal Reserve System (U.S.).

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