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Joshua Evan Blumenstock

Personal Details

First Name:Joshua
Middle Name:Evan
Last Name:Blumenstock
Suffix:
RePEc Short-ID:pbl237
[This author has chosen not to make the email address public]
http://www.jblumenstock.com

Affiliation

(90%) University of California, Berkeley, School of Information (Joshua Evan Blumenstock)

http://ischool.berkeley.edu
Berkeley

(4%) Center for Effective Global Action (CEGA)
University of California-Berkeley

Berkeley, California (United States)
http://cega.berkeley.edu/
RePEc:edi:cgbrkus (more details at EDIRC)

(3%) Institute of Labor Economics (IZA)

Bonn, Germany
http://www.iza.org/
RePEc:edi:izaaade (more details at EDIRC)

(3%) Abdul Latif Jameel Poverty Action Lab (J-PAL)
Massachusetts Institute of Technology (MIT)

Cambridge, Massachusetts (United States)
http://www.povertyactionlab.org/
RePEc:edi:jpmitus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. 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.
  2. 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.
  3. 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.
  4. Matthew Olckers & Joshua E. Blumenstock, 2020. "Gamblers Learn from Experience," SoDa Laboratories Working Paper Series 2020-07, Monash University, SoDa Laboratories.
  5. Aker, Jenny & Blumenstock, Joshua & Dillon, Brian, 2020. "How Important is the Yellow Pages? Experimental Evidence from Tanzania," CEPR Discussion Papers 14489, C.E.P.R. Discussion Papers.
  6. Daniel Bjorkegren & Joshua E. Blumenstock & Samsun Knight, 2020. "Manipulation-Proof Machine Learning," Papers 2004.03865, arXiv.org.
  7. Blumenstock, Joshua & Chi, Guanghua & Tan, Xu, 2019. "Migration and the Value of Social Networks," CEPR Discussion Papers 13611, C.E.P.R. Discussion Papers.
  8. 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.
  9. Blumenstock, Joshua & Callen, Michael & Ghani, Tarek, 2017. "Why Do Defaults Affect Behavior? Experimental Evidence from Afghanistan," CEPR Discussion Papers 12142, C.E.P.R. Discussion Papers.
  10. Blumenstock, Joshua & Callen, Michael & 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.
  11. Joshua Evan Blumenstock & Nathan Eagle & Marcel Fafchamps, 2011. "Risk and Reciprocity Over the Mobile Phone Network: Evidence from Rwanda," Working Papers 11-25, NET Institute, revised Sep 2011.

Articles

  1. 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.
  2. Joshua Blumenstock, 2018. "Don’t forget people in the use of big data for development," Nature, Nature, vol. 561(7722), pages 170-172, September.
  3. Joshua E. Blumenstock, 2018. "Estimating Economic Characteristics with Phone Data," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 72-76, May.
  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. 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.

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. 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.

    Cited by:

    1. Edward Miguel & Ahmed Mushfiq Mobarak, 2021. "The Economics of the COVID-19 Pandemic in Poor Countries," NBER Working Papers 29339, National Bureau of Economic Research, Inc.

  2. 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. Edward Miguel & Ahmed Mushfiq Mobarak, 2021. "The Economics of the COVID-19 Pandemic in Poor Countries," NBER Working Papers 29339, National Bureau of Economic Research, Inc.

  3. Aker, Jenny & Blumenstock, Joshua & Dillon, Brian, 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.

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

    Cited by:

    1. Elliott Ash & Sergio Galletta & Tommaso Giommoni, 2021. "A Machine Learning Approach to Analyze and Support Anti-Corruption Policy," CESifo Working Paper Series 9015, CESifo.
    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. Meena Jagadeesan & Celestine Mendler-Dunner & Moritz Hardt, 2021. "Alternative Microfoundations for Strategic Classification," Papers 2106.12705, arXiv.org.

  5. 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. Jia Barwick, Panle & Liu, Yanyan & Patacchini, Eleonora & Wu, Qi, 2019. "Information, Mobile Communication, and Referral Effects," CEPR Discussion Papers 13786, C.E.P.R. Discussion Papers.
    2. 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).
    3. 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.
    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. 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.
    6. 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.
    7. Bertoli, Simone & Ruyssen, Ilse, 2016. "Networks and Migrants' Intended Destination," IZA Discussion Papers 10213, Institute of Labor Economics (IZA).
    8. 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.
    9. Yuan Tian & Maria Esther Caballero & Brian K. Kovak, 2020. "Social learning along international migrant networks," Discussion Papers 2020-12, University of Nottingham, GEP.
    10. Tian, Yuan & Caballero, Maria Esther & Kovak, Brian K., 2020. "Social Learning along International Migrant Networks," IZA Discussion Papers 13574, Institute of Labor Economics (IZA).
    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).

  6. 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. Mr. Philip Barrett, 2018. "The Fiscal Cost of Conflict: Evidence from Afghanistan 2005-2016," IMF Working Papers 2018/204, International Monetary Fund.
    2. 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).
    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. 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.
    5. Ksoll, Christopher & Macchiavello, Rocco & Morjaria, Ameet, 2021. "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.

  7. Blumenstock, Joshua & Callen, Michael & 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. Hanh T. Tong & David J. Freeman, 2021. "Default-Setting and Default Bias: Does the Choice Architect Matter?," Discussion Papers dp21-09, Department of Economics, Simon Fraser University.
    2. 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.
    3. 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).
    4. 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.
    5. Spantig, Lisa, 2019. "Cash in Hand and Savings Decisions," Rationality and Competition Discussion Paper Series 180, CRC TRR 190 Rationality and Competition.
    6. 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.
    7. Asen Ivanov, 2019. "Optimal Pension Plan Default Policies when Employees are Biased," Working Papers 893, Queen Mary University of London, School of Economics and Finance.
    8. 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.
    9. 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.
    10. Catia Batista & Pedro C. Vicente, 2021. "Is Mobile Money Changing Rural Africa? Evidence from a Field Experiment," CReAM Discussion Paper Series 2116, Centre for Research and Analysis of Migration (CReAM), Department of Economics, University College London.
    11. 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).
    12. Casaburi, Lorenzo & Macchiavello, Rocco, 2015. "Firm and Market Response to Saving Constraints: Evidence from the Kenyan Dairy Industry," CEPR Discussion Papers 10952, C.E.P.R. Discussion Papers.
    13. 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.
    14. 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.
    15. 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.
    16. de Bresser, Jochem & Knoef, M.G., 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.

  8. Blumenstock, Joshua & Callen, Michael & 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. 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.
    2. 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.
    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.

  9. Joshua Evan Blumenstock & Nathan Eagle & Marcel Fafchamps, 2011. "Risk and Reciprocity Over the Mobile Phone Network: Evidence from Rwanda," Working Papers 11-25, NET Institute, revised Sep 2011.

    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. 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. 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. 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. Jia Barwick, Panle & Liu, Yanyan & Patacchini, Eleonora & Wu, Qi, 2019. "Information, Mobile Communication, and Referral Effects," CEPR Discussion Papers 13786, C.E.P.R. Discussion Papers.
    3. 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.
    4. Daniel Bjorkegren & Joshua E. Blumenstock & Samsun Knight, 2020. "Manipulation-Proof Machine Learning," Papers 2004.03865, arXiv.org.
    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. 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.
    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.

  2. 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.
  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.

    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. 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.
    3. 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.
    4. 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).
    5. Konstantin Büchel & Maximilian von Ehrlich, 2016. "Cities and the Structure of Social Interactions: Evidence from Mobile Phone Data," Diskussionsschriften dp1608, Universitaet Bern, Departement Volkswirtschaft.
    6. 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.
    7. 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.
    8. Daniel Björkegren, 2017. "Scoping for: Competition in Network Industries: Evidence from Mobile Telecommunications in Rwanda," Working Papers 17-10, NET Institute.
    9. Johanna Choumert-Nkolo & Anais LAMOUR & Pascale PHELINAS, 2020. "The Economics of Volcanoes," Working Papers 2020.23, FAERE - French Association of Environmental and Resource Economists.
    10. 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).
    11. 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.
    12. 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.
    13. Xu, Dafeng, 2017. "Acculturational homophily," Economics of Education Review, Elsevier, vol. 59(C), pages 29-42.
    14. 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).
    15. 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.
    16. Carolina Mattsson, 2019. "Networks of monetary flow at native resolution," Papers 1910.05596, arXiv.org.
    17. 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.
    18. 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.
    19. 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.
    20. Catia Batista & Pedro C. Vicente, 2021. "Is Mobile Money Changing Rural Africa? Evidence from a Field Experiment," CReAM Discussion Paper Series 2116, Centre for Research and Analysis of Migration (CReAM), Department of Economics, University College London.
    21. 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.
    22. Milusheva,Sveta, 2020. "Using Mobile Phone Data to Reduce Spread of Disease," Policy Research Working Paper Series 9198, The World Bank.
    23. Blumenstock, Joshua & Callen, Michael & 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.
    24. Riley, Emma, 2018. "Mobile money and risk sharing against village shocks," Journal of Development Economics, Elsevier, vol. 135(C), pages 43-58.
    25. 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.
    26. Takahashi, Kazushi, 2016. "Mobile Phone Expansion, Informal Risk Sharing, and Consumption Smoothing: Evidence from Rural Uganda," MPRA Paper 75135, University Library of Munich, Germany.
    27. Apoorv Gupta & Jacopo Ponticelli & Andrea Tesei, 2020. "Information, Technology Adoption and Productivity: The Role of Mobile Phones in Agriculture," NBER Working Papers 27192, National Bureau of Economic Research, Inc.
    28. 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).
    29. 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, Economics, Graduate School of Humanities and Social Sciences, University of Tsukuba.
    30. 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).
    31. Putman, Daniel S., 2020. "The Scope of Risk Pooling," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304480, Agricultural and Applied Economics Association.
    32. Milusheva, Sveta, 2020. "Managing the spread of disease with mobile phone data," Journal of Development Economics, Elsevier, vol. 147(C).
    33. Aker, Jenny & Blumenstock, Joshua & Dillon, Brian, 2020. "How Important is the Yellow Pages? Experimental Evidence from Tanzania," CEPR Discussion Papers 14489, C.E.P.R. Discussion Papers.

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 13 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-EXP: Experimental Economics (6) 2016-07-30 2017-07-23 2017-07-23 2019-12-23 2020-04-20 2020-07-13. Author is listed
  2. NEP-PAY: Payment Systems & Financial Technology (6) 2016-07-30 2019-04-01 2020-07-13 2020-11-16 2020-11-23 2021-08-23. Author is listed
  3. NEP-BIG: Big Data (4) 2019-04-01 2020-04-20 2021-04-26 2021-08-23
  4. NEP-CMP: Computational Economics (3) 2020-04-20 2021-04-26 2021-08-23
  5. NEP-CWA: Central & Western Asia (2) 2016-07-30 2017-07-23
  6. NEP-DEV: Development (2) 2011-10-22 2021-04-26
  7. NEP-MFD: Microfinance (2) 2019-12-23 2020-07-13
  8. NEP-NET: Network Economics (2) 2011-10-22 2019-04-01
  9. NEP-AFR: Africa (1) 2011-10-22
  10. NEP-CIS: Confederation of Independent States (1) 2011-10-22
  11. NEP-FOR: Forecasting (1) 2020-12-21
  12. NEP-GTH: Game Theory (1) 2020-04-20
  13. NEP-ICT: Information & Communication Technologies (1) 2019-04-01
  14. NEP-INT: International Trade (1) 2019-04-01
  15. NEP-ISF: Islamic Finance (1) 2021-08-23
  16. NEP-MIG: Economics of Human Migration (1) 2019-04-01
  17. NEP-SOC: Social Norms & Social Capital (1) 2019-04-01
  18. NEP-SPO: Sports & Economics (1) 2020-11-16
  19. NEP-UPT: Utility Models & Prospect Theory (1) 2019-04-01
  20. NEP-URE: Urban & Real Estate Economics (1) 2019-04-01

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