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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. Daniel Bjorkegren & Joshua E. Blumenstock & Samsun Knight, 2022. "(Machine) Learning What Policies Value," Papers 2206.00727, arXiv.org.
  2. 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.
  3. Blumenstock, Joshua & Callen, Mike & Ghani, Tarek & González, Roberto, 2022. "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.
  4. Bjorkegren, Daniel & Blumenstock, Joshua & Knight, Samsun, 2022. "(Machine) Learning What Policies Value," CEPR Discussion Papers 17364, C.E.P.R. Discussion Papers.
  5. 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.
  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.
  8. 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.
  9. Daniel Bjorkegren & Joshua E. Blumenstock & Samsun Knight, 2020. "Manipulation-Proof Machine Learning," Papers 2004.03865, arXiv.org.
  10. 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.
  11. Matthew Olckers & Joshua E. Blumenstock, 2020. "Gamblers Learn from Experience," SoDa Laboratories Working Paper Series 2020-07, Monash University, SoDa Laboratories.
  12. Blumenstock, Joshua & Chi, Guanghua & Tan, Xu, 2019. "Migration and the Value of Social Networks," CEPR Discussion Papers 13611, C.E.P.R. Discussion Papers.
  13. 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.
  14. 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.
  15. 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.
  16. 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.

    repec:nbr:nberwo:30694 is not listed on IDEAS

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.
  2. 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.
  3. Emily Aiken & Suzanne Bellue & Dean Karlan & Chris Udry & Joshua E. Blumenstock, 2022. "Machine learning and phone data can improve targeting of humanitarian aid," Nature, Nature, vol. 603(7903), pages 864-870, March.
  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. 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.
  6. Joshua Blumenstock, 2018. "Don’t forget people in the use of big data for development," Nature, Nature, vol. 561(7722), pages 170-172, September.
  7. 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.
  8. Joshua E. Blumenstock, 2018. "Estimating Economic Characteristics with Phone Data," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 72-76, May.
  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.

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. 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. Vu, Khoa & Vuong, Nguyen Dinh Tuan & Vu-Thanh, Tu-Anh & Nguyen, Anh Ngoc, 2022. "Income shock and food insecurity prediction Vietnam under the pandemic," World Development, Elsevier, vol. 153(C).
    3. 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.
    4. Anders Christensen & Joel Ferguson & Sim'on Ram'irez Amaya, 2022. "Incorporating High-Frequency Weather Data into Consumption Expenditure Predictions," Papers 2211.01406, arXiv.org.

  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.

    Cited by:

    1. Aiken, Emily & Bellue, Suzanne & Blumenstock, Joshua & Karlan, Dean S. & Udry, Christopher, 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. 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.

  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. 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.
    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. 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.

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

    Cited by:

    1. Aiken, Emily & Bellue, Suzanne & Blumenstock, Joshua & Karlan, Dean S. & Udry, Christopher, 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. Evan Munro, 2020. "Learning to Personalize Treatments When Agents Are Strategic," Papers 2011.06528, arXiv.org, revised Mar 2022.
    3. 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).
    4. Meena Jagadeesan & Celestine Mendler-Dunner & Moritz Hardt, 2021. "Alternative Microfoundations for Strategic Classification," Papers 2106.12705, arXiv.org.
    5. Roshni Sahoo & Stefan Wager, 2022. "Policy Learning with Competing Agents," Papers 2204.01884, arXiv.org.
    6. Elliott Ash & Sergio Galletta & Tommaso Giommoni, 2021. "A Machine Learning Approach to Analyze and Support Anti-Corruption Policy," CESifo Working Paper Series 9015, CESifo.

  5. 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. 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. 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. 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.

  6. 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. Simone Bertoli & Ilse Ruyssen, 2018. "Networks and migrants’ intended destination," Journal of Economic Geography, Oxford University Press, vol. 18(4), pages 705-728.
    2. Buechel, Konstantin & Puga, Diego & Viladecans-Marsal, Elisabet & von Ehrlich, Maximilian, 2019. "Calling from the outside: The role of networks in residential mobility," CEPR Discussion Papers 13615, C.E.P.R. Discussion Papers.
    3. 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.
    4. Selod, Harris & Shilpi, Forhad, 2021. "Rural-urban migration in developing countries: Lessons from the literature," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. Maxim Ananyev & Michael Poyker & Yuan Tian, 2021. "The safest time to fly: pandemic response in the era of Fox News," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(3), pages 775-802, July.
    10. Kirchberger, Martina, 2021. "Measuring internal migration," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    11. 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).
    12. Harshil Sahai & Michael Bailey, 2022. "Social Networks and Spatial Mobility: Evidence from Facebook in India," Papers 2203.05595, arXiv.org.
    13. Selod,Harris & Shilpi,Forhad J., 2021. "Rural-Urban Migration in Developing Countries : Lessons from the Literature," Policy Research Working Paper Series 9662, The World Bank.
    14. 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).
    15. 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.

  7. 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. Galdo Virgilio & Acevedo Gladys Lopez & Rama Martin, 2021. "Conflict and the composition of economic activity in Afghanistan," IZA Journal of Development and Migration, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 12(1), pages 1-23, January.
    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. 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.
    5. Carolina Bernal & Mónica Ortiz & Mounu Prem & Juan F. Vargas, 2022. "Peaceful entry: Entrepreneurship dynamics during Colombia’s peace agreement," Documentos de Trabajo LACEA 019939, The Latin American and Caribbean Economic Association - LACEA.
    6. Atamanov,Aziz & Tandon,Sharad Alan & Lopez-Acevedo,Gladys C. & 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," Policy Research Working Paper Series 9259, The World Bank.
    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. Barrett, Philip, 2022. "The fiscal cost of conflict: Evidence from Afghanistan 2005–2017," World Development, Elsevier, vol. 157(C).
    9. Galdo,Virgilio & Lopez-Acevedo,Gladys C. & Rama,Martin G., 2020. "Conflict and the Composition of Economic Activity in Afghanistan," Policy Research Working Paper Series 9188, The World Bank.

  8. 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. Catia Batista & Pedro C. Vicente, 2018. "Is mobile money changing rural Africa? Evidence from a field experiment," NOVAFRICA Working Paper Series wp1805, Universidade Nova de Lisboa, Nova School of Business and Economics, NOVAFRICA.
    2. 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.
    3. 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.
    4. Casaburi, Lorenzo & Macchiavello, Rocco, 2018. "Firm and Market Response to Saving Constraints: Evidence from the Kenyan Dairy Industry," CAGE Online Working Paper Series 367, Competitive Advantage in the Global Economy (CAGE).
    5. Spantig, Lisa, 2019. "Cash in Hand and Savings Decisions," Rationality and Competition Discussion Paper Series 180, CRC TRR 190 Rationality and Competition.
    6. 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.
    7. 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).
    8. Katharina Momsen & Sebastian O. Schneider, 2022. "Motivated Reasoning, Information Avoidance, and Default Bias," Working Papers 2022-05, Faculty of Economics and Statistics, University of Innsbruck.
    9. 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.
    10. Blumenstock, Joshua & Callen, Mike & Ghani, Tarek & González, Roberto, 2022. "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. 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.
    12. 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.
    13. 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.
    14. Pierre Bachas & Paul Gertler & Sean Higgins & Enrique Seira, 2021. "How Debit Cards Enable the Poor to Save More," Journal of Finance, American Finance Association, vol. 76(4), pages 1913-1957, August.
    15. Tourek, Gabriel, 2022. "Targeting in tax behavior: Evidence from Rwandan firms," Journal of Development Economics, Elsevier, vol. 158(C).
    16. 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.
    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. 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.
    19. 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.
    20. 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).
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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).
    27. 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.
    28. 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.
    29. 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.
    30. 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.

  9. 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. Cátia Batista & Marcel Fafchamps & Pedro C. Vicente, 2018. "Keep It Simple: A Field Experiment on Information Sharing in Social Networks," NBER Working Papers 24908, National Bureau of Economic Research, Inc.
    2. 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.
    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. 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.

  10. 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. 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.
    2. 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.
    3. 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.
    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. Thorsten Beck & Robert Cull, 2013. "Banking in Africa," CSAE Working Paper Series 2013-16, Centre for the Study of African Economies, University of Oxford.
    6. Beck, Thorsten & Cull, Robert, 2013. "Banking in Africa," Policy Research Working Paper Series 6684, The World Bank.
    7. Cull, Robert & Gine, Xavier & Harten, Sven & Heitmann, Soren & Rusu, Anca Bogdana, 2018. "Agent banking in a highly under-developed financial sector: Evidence from Democratic Republic of Congo," World Development, Elsevier, vol. 107(C), pages 54-74.

Articles

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

    Cited by:

    1. Abay,Kibrom A. & Yonzan,Nishant & Kurdi,Sikandra Smith & Hirfrfot,Kibrom Tafere, 2022. "Revisiting Poverty Trends and the Role of Social Protection Systems in Africa during theCOVID-19 Pandemic," Policy Research Working Paper Series 10172, The World Bank.
    2. 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.

  2. 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.

    Cited by:

    1. 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.
    2. Lee, Kamwoo & Braithwaite, Jeanine, 2022. "High-resolution poverty maps in Sub-Saharan Africa," World Development, Elsevier, vol. 159(C).

  3. 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. 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.

  4. 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. Aiken, Emily & Bellue, Suzanne & Blumenstock, Joshua & Karlan, Dean S. & Udry, Christopher, 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. 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.
  6. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Aiken, Emily & Bellue, Suzanne & Blumenstock, Joshua & Karlan, Dean S. & Udry, Christopher, 2021. "Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance," CEPR Discussion Papers 16385, C.E.P.R. Discussion Papers.
    7. Daniel Bjorkegren & Joshua E. Blumenstock & Samsun Knight, 2020. "Manipulation-Proof Machine Learning," Papers 2004.03865, arXiv.org.
    8. 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.

  7. 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. Büchel, Konstantin & Ehrlich, Maximilian v., 2020. "Cities and the structure of social interactions: Evidence from mobile phone data," Journal of Urban Economics, Elsevier, vol. 119(C).
    2. Catia Batista & Pedro C. Vicente, 2018. "Is mobile money changing rural Africa? Evidence from a field experiment," NOVAFRICA Working Paper Series wp1805, Universidade Nova de Lisboa, Nova School of Business and Economics, NOVAFRICA.
    3. Johanna Choumert-Nkolo & Anaïs Lamour & Pascale Phélinas, 2021. "The Economics of Volcanoes," Economics of Disasters and Climate Change, Springer, vol. 5(2), pages 277-299, July.
    4. 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.
    5. 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.
    6. Milusheva, Sveta, 2020. "Managing the spread of disease with mobile phone data," Journal of Development Economics, Elsevier, vol. 147(C).
    7. Bahia, Kalvin & Castells, Pau & Cruz, Genaro & Masaki, Takaaki & Rodriguez Castelan, Carlos & Sanfelice, Viviane, 2021. "Mobile Broadband Internet, Poverty and Labor Outcomes in Tanzania," IZA Discussion Papers 14720, Institute of Labor Economics (IZA).
    8. Gupta, Apoorv & Ponticelli, Jacopo & Tesei, Andrea, 2019. "Technology Adoption and Access to Credit via Mobile Phones," CEPR Discussion Papers 13956, C.E.P.R. Discussion Papers.
    9. 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.
    10. 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.
    11. 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.
    12. Olukorede Abiona & Martin Foureaux Koppensteiner, 2022. "Financial Inclusion, Shocks, and Poverty: Evidence from the Expansion of Mobile Money in Tanzania," Journal of Human Resources, University of Wisconsin Press, vol. 57(2), pages 435-464.
    13. Eduardo Nakasone & Maximo Torero, 2016. "A text message away: ICTs as a tool to improve food security," Agricultural Economics, International Association of Agricultural Economists, vol. 47(S1), pages 49-59, November.
    14. 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).
    15. Takahashi, Kazushi, 2016. "Mobile Phone Expansion, Informal Risk Sharing, and Consumption Smoothing: Evidence from Rural Uganda," MPRA Paper 75135, University Library of Munich, Germany.
    16. Blumenstock, Joshua & Callen, Mike & Ghani, Tarek & González, Roberto, 2022. "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.
    17. Carolina Mattsson, 2019. "Networks of monetary flow at native resolution," Papers 1910.05596, arXiv.org.
    18. Blumenstock, Joshua & Callen, Mike & Ghani, Tarek, 2018. "Why do defaults affect behavior? Experimental evidence from Afghanistan," LSE Research Online Documents on Economics 102899, London School of Economics and Political Science, LSE Library.
    19. 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.
    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. 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.
    22. 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.
    23. 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.
    24. 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).
    25. 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.
    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. 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.
    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.
    29. 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).
    30. Milusheva,Sveta, 2020. "Using Mobile Phone Data to Reduce Spread of Disease," Policy Research Working Paper Series 9198, The World Bank.
    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. 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.
    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.
    34. 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).
    35. 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.
    36. 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).
    37. 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.
    38. Xu, Dafeng, 2017. "Acculturational homophily," Economics of Education Review, Elsevier, vol. 59(C), pages 29-42.
    39. 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.
    40. Andrea Cinque & Lennart Reiners, 2022. "Confined to Stay: Natural Disasters and Indonesia's Migration Ban," CESifo Working Paper Series 9837, CESifo.
    41. 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).
    42. Daniel Björkegren, 2017. "Scoping for: Competition in Network Industries: Evidence from Mobile Telecommunications in Rwanda," Working Papers 17-10, NET Institute.
    43. A. T. M. Hasibul Islam & Syed Abul Basher & A. K. Enamul Haque, 2022. "The impact of mobile money on long-term poverty: evidence from Bangladesh," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 24(2), pages 436-455, December.
    44. Cull, Robert & Gine, Xavier & Harten, Sven & Heitmann, Soren & Rusu, Anca Bogdana, 2018. "Agent banking in a highly under-developed financial sector: Evidence from Democratic Republic of Congo," World Development, Elsevier, vol. 107(C), pages 54-74.
    45. Riley, Emma, 2018. "Mobile money and risk sharing against village shocks," Journal of Development Economics, Elsevier, vol. 135(C), pages 43-58.
    46. 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).
    47. 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.
    48. 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.
    49. 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.

More information

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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 16 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-PAY: Payment Systems & Financial Technology (8) 2016-07-30 2019-04-01 2020-07-13 2020-11-16 2020-11-23 2021-08-23 2022-05-09 2022-08-22. Author is listed
  2. NEP-BIG: Big Data (6) 2019-04-01 2020-04-20 2021-04-26 2021-08-23 2022-07-25 2022-08-22. Author is listed
  3. 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
  4. NEP-CMP: Computational Economics (5) 2020-04-20 2021-04-26 2021-08-23 2022-07-25 2022-08-22. Author is listed
  5. NEP-DEV: Development (4) 2011-10-22 2021-04-26 2022-05-09 2022-08-22
  6. NEP-AFR: Africa (2) 2011-10-22 2022-05-09
  7. NEP-CWA: Central & Western Asia (2) 2016-07-30 2017-07-23
  8. NEP-MFD: Microfinance (2) 2019-12-23 2020-07-13
  9. NEP-NET: Network Economics (2) 2011-10-22 2019-04-01
  10. NEP-CIS: Confederation of Independent States (1) 2011-10-22
  11. NEP-FDG: Financial Development & Growth (1) 2022-05-09
  12. NEP-FOR: Forecasting (1) 2020-12-21
  13. NEP-GTH: Game Theory (1) 2020-04-20
  14. NEP-HAP: Economics of Happiness (1) 2022-05-09
  15. NEP-ICT: Information & Communication Technologies (1) 2019-04-01
  16. NEP-INT: International Trade (1) 2019-04-01
  17. NEP-ISF: Islamic Finance (1) 2021-08-23
  18. NEP-MIG: Economics of Human Migration (1) 2019-04-01
  19. NEP-SOC: Social Norms & Social Capital (1) 2019-04-01
  20. NEP-SPO: Sports & Economics (1) 2020-11-16
  21. NEP-UPT: Utility Models & Prospect Theory (1) 2019-04-01
  22. NEP-URE: Urban & Real Estate Economics (1) 2019-04-01

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