Daniel Björkegren
(Daniel Bjorkegren)

Personal Details

First Name:	Daniel
Middle Name:
Last Name:	Bjorkegren
Suffix:
RePEc Short-ID:	pbj21
	[This author has chosen not to make the email address public]
	http://dan.bjorkegren.com
Twitter:	@danbjork

Affiliation

Economics Department
Brown University

Providence, Rhode Island (United States)
http://www.econ.brown.edu/
RePEc:edi:edbrous (more details at EDIRC)

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)

1. Daniel Björkegren, 2019. "The Adoption of Network Goods: Evidence from the Spread of Mobile Phones in Rwanda," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(3), pages 1033-1060.

   Mentioned in:

   1. The Adoption of Network Goods: Evidence from the Spread of Mobile Phones in Rwanda (REStud 2019) in ReplicationWiki ()

Working papers

1. Daniel Bjorkegren & Joshua E. Blumenstock & Samsun Knight, 2022. "(Machine) Learning What Policies Value," Papers 2206.00727, arXiv.org.
   • Bjorkegren, Dan & Blumenstock, Joshua & Knight, Samsun, 2022. "(Machine) Learning What Policies Value," CEPR Discussion Papers 17364, C.E.P.R. Discussion Papers.

   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.
      • Haushofer, Johannes & Niehaus, Paul & Paramo, Carlos & Miguel, Edward & Walker, Michael W, 2022. "Targeting Impact Versus Deprivation," Department of Economics, Working Paper Series qt07j8n9vz, Department of Economics, Institute for Business and Economic Research, UC Berkeley.

2. B. Douglas Bernheim & Daniel Björkegren & Jeffrey Naecker & Michael Pollmann, 2021. "Causal Inference from Hypothetical Evaluations," NBER Working Papers 29616, National Bureau of Economic Research, Inc.

   Cited by:

   1. Romuald Meango, 2023. "Using Probabilistic Stated Preference Analyses to Understand Actual Choices," Papers 2307.13966, arXiv.org.

3. Daniel Bjorkegren, 2020. "Competition in Network Industries: Evidence from the Rwandan Mobile Phone Network," Working Papers 2020-04, Brown University, Department of Economics.
   • Daniel Björkegren, 2022. "Competition in network industries: Evidence from the Rwandan mobile phone network," RAND Journal of Economics, RAND Corporation, vol. 53(1), pages 200-225, March.

   Cited by:

   1. Bianchi, Milo & Bouvard, Matthieu & Gomes, Renato & Rhodes, Andrew & Shreeti, Vatsala, 2021. "Mobile Payments and Interoperability: Insights from the Academic Literature," TSE Working Papers 21-1279, Toulouse School of Economics (TSE), revised Nov 2023.
      • Milo Bianchi & Matthieu Bouvard & Renato Gomes & Andrew Rhodes & Vatsala Shreeti, 2023. "Mobile payments and interoperability: Insights from the academic literature," Post-Print hal-04374028, HAL.
      • Milo Bianchi & Matthieu Bouvard & Renato Gomes & Andrew Rhodes & Vatsala Shreeti, 2022. "Mobile Payments and Interoperability: Insights from the Academic Literature," Working Papers hal-03629513, HAL.
      • Milo Bianchi & Matthieu Bouvard & Renato Gomes & Andrew Rhodes & Vatsala Shreeti, 2023. "Mobile payments and interoperability: Insights from the academic literature," BIS Working Papers 1092, Bank for International Settlements.
      • Bianchi, Milo & Bouvard, Matthieu & Gomes, Renato & Rhodes, Andrew & Shreeti, Vatsala, 2023. "Mobile payments and interoperability: Insights from the academic literature," Information Economics and Policy, Elsevier, vol. 65(C).
   2. Kelsey Jack & Kathryn McDermott & Anja Sautmann, 2022. "Multiple Price Lists for Willingness to Pay Elicitation," NBER Working Papers 30433, National Bureau of Economic Research, Inc.
      • Jack, B. Kelsey & McDermott, Kathryn & Sautmann, Anja, 2022. "Multiple price lists for willingness to pay elicitation," Journal of Development Economics, Elsevier, vol. 159(C).
      • Jack,B. Kelsey & McDermott,Kathryn & Sautmann,Anja, 2022. "Multiple Price Lists for Willingness to Pay Elicitation," Policy Research Working Paper Series 10173, The World Bank.
   3. Marc Bourreau & Yutec Sun, 2022. "Competition and Quality: Evidence from the Entry of Mobile Network Service," Working Papers 22-04, NET Institute.
   4. Daniel Bjorkegren & Burak Ceyhun Karaca, 2020. "The Effect of Network Adoption Subsidies: Evidence from Digital Traces in Rwanda," Papers 2002.05791, arXiv.org.

4. 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.
      • 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.
   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).

5. Daniel Bjorkegren & Burak Ceyhun Karaca, 2020. "The Effect of Network Adoption Subsidies: Evidence from Digital Traces in Rwanda," Papers 2002.05791, arXiv.org.

   Cited by:

   1. Vatsala Shreeti, 2024. "Tracing the adoption of digital technologies," BIS Working Papers 1166, Bank for International Settlements.

6. Bjorkegren,Daniel & Grissen,Darrell, 2019. "Behavior Revealed in Mobile Phone Usage Predicts Credit Repayment," Policy Research Working Paper Series 9074, The World Bank.
   • Daniel Björkegren & Darrell Grissen, 0. "Behavior Revealed in Mobile Phone Usage Predicts Credit Repayment," The World Bank Economic Review, World Bank, vol. 34(3), pages 618-634.

   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.
      • Panle Jia Barwick & Yanyan Liu & Eleonora Patacchini & Qi Wu, 2019. "Information, Mobile Communication, and Referral Effects," NBER Working Papers 25873, National Bureau of Economic Research, Inc.
   2. Asif M. Islam & Silvia Muzi, 2022. "Does mobile money enable women-owned businesses to invest? Firm-level evidence from Sub-Saharan Africa," Small Business Economics, Springer, vol. 59(3), pages 1245-1271, October.
   3. Evan Munro, 2020. "Treatment Allocation with Strategic Agents," Papers 2011.06528, arXiv.org, revised Apr 2023.
   4. Pauline Affeldt, 2019. "EU Merger Policy Predictability Using Random Forests," Discussion Papers of DIW Berlin 1800, DIW Berlin, German Institute for Economic Research.
   5. Croux, Christophe & Jagtiani, Julapa & Korivi, Tarunsai & Vulanovic, Milos, 2020. "Important factors determining Fintech loan default: Evidence from a lendingclub consumer platform," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 270-296.
      • Christophe Croux & Julapa Jagtiani & Tarunsai Korivi & Milos Vulanovic, 2020. "Important Factors Determining Fintech Loan Default: Evidence from the LendingClub Consumer Platform," Working Papers 20-15, Federal Reserve Bank of Philadelphia.
   6. Adair Morse & Karen Pence, 2020. "Technological Innovation and Discrimination in Household Finance," NBER Working Papers 26739, National Bureau of Economic Research, Inc.
      • Adair Morse & Karen M. Pence, 2020. "Technological Innovation and Discrimination in Household Finance," Finance and Economics Discussion Series 2020-018, Board of Governors of the Federal Reserve System (U.S.).
      • Adair Morse & Karen Pence, 2021. "Technological Innovation and Discrimination in Household Finance," Springer Books, in: Raghavendra Rau & Robert Wardrop & Luigi Zingales (ed.), The Palgrave Handbook of Technological Finance, pages 783-808, Springer.
   7. Susan Athey, 2018. "The Impact of Machine Learning on Economics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 507-547, National Bureau of Economic Research, Inc.
   8. Milusheva,Sveta, 2020. "Using Mobile Phone Data to Reduce Spread of Disease," Policy Research Working Paper Series 9198, The World Bank.
   9. Woodruff, Christopher & De Mel, Suresh & McKenzie, David, 2019. "Micro-equity for Microenterprises," CEPR Discussion Papers 13698, C.E.P.R. Discussion Papers.
      • De Mel,Suresh & Mckenzie,David J. & Woodruff,Christopher M., 2019. "Micro-Equity for Microenterprises," Policy Research Working Paper Series 8799, The World Bank.
   10. Milusheva, Sveta, 2020. "Managing the spread of disease with mobile phone data," Journal of Development Economics, Elsevier, vol. 147(C).
   11. Elinor Benami & Michael R. Carter, 2021. "Can digital technologies reshape rural microfinance? Implications for savings, credit, & insurance," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(4), pages 1196-1220, December.
   12. Daniel Bjorkegren & Burak Ceyhun Karaca, 2020. "The Effect of Network Adoption Subsidies: Evidence from Digital Traces in Rwanda," Papers 2002.05791, arXiv.org.

7. Daniel Bjorkegren & Darrell Grissen, 2017. "Behavior Revealed in Mobile Phone Usage Predicts Loan Repayment," Papers 1712.05840, arXiv.org, revised Dec 2019.

   Cited by:

   1. Asif M. Islam & Silvia Muzi, 2022. "Does mobile money enable women-owned businesses to invest? Firm-level evidence from Sub-Saharan Africa," Small Business Economics, Springer, vol. 59(3), pages 1245-1271, October.
   2. Alberto Tron & Maurizio Dallocchio & Salvatore Ferri & Federico Colantoni, 2023. "Corporate governance and financial distress: lessons learned from an unconventional approach," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(2), pages 425-456, June.
   3. Woodruff, Christopher & De Mel, Suresh & McKenzie, David, 2019. "Micro-equity for Microenterprises," CEPR Discussion Papers 13698, C.E.P.R. Discussion Papers.
      • De Mel,Suresh & Mckenzie,David J. & Woodruff,Christopher M., 2019. "Micro-Equity for Microenterprises," Policy Research Working Paper Series 8799, The World Bank.
   4. Milusheva, Sveta, 2020. "Managing the spread of disease with mobile phone data," Journal of Development Economics, Elsevier, vol. 147(C).
   5. Elinor Benami & Michael R. Carter, 2021. "Can digital technologies reshape rural microfinance? Implications for savings, credit, & insurance," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(4), pages 1196-1220, December.
   6. Daniel Bjorkegren & Burak Ceyhun Karaca, 2020. "The Effect of Network Adoption Subsidies: Evidence from Digital Traces in Rwanda," Papers 2002.05791, arXiv.org.

8. B. Douglas Bernheim & Daniel Bjorkegren & Jeffrey Naecker & Antonio Rangel, 2013. "Non-Choice Evaluations Predict Behavioral Responses to Changes in Economic Conditions," NBER Working Papers 19269, National Bureau of Economic Research, Inc.

   Cited by:

   1. Raj Chetty, 2015. "Behavioral Economics and Public Policy: A Pragmatic Perspective," American Economic Review, American Economic Association, vol. 105(5), pages 1-33, May.
      • Chetty, Nadarajan, 2015. "Behavioral Economics and Public Policy: A Pragmatic Perspective," Scholarly Articles 34330194, Harvard University Department of Economics.
      • Raj Chetty, 2015. "Behavioral Economics and Public Policy: A Pragmatic Perspective," NBER Working Papers 20928, National Bureau of Economic Research, Inc.
   2. Diane Coyle & Leonard Nakamura, 2019. "Towards a Framework for Time Use, Welfare and Household-centric Economic Measurement," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-01, Economic Statistics Centre of Excellence (ESCoE).
      • Diane Coyle & Leonard I. Nakamura, 2019. "Toward a Framework for Time Use, Welfare, and Household Centric Economic Measurement," Working Papers 19-11, Federal Reserve Bank of Philadelphia.
   3. John A. Clithero & Jae Joon Lee & Joshua Tasoff, 2019. "Supervised Machine Learning for Eliciting Individual Demand," Papers 1904.13329, arXiv.org, revised Feb 2021.
   4. Bart Los & Marcel P. Timmer, 2018. "Measuring Bilateral Exports of Value Added: A Unified Framework," NBER Working Papers 24896, National Bureau of Economic Research, Inc.
      • Bart Los & Marcel P. Timmer, 2019. "Measuring Bilateral Exports of Value Added: A Unified Framework," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-03, Economic Statistics Centre of Excellence (ESCoE).
      • Bart Los & Marcel P. Timmer, 2020. "Measuring Bilateral Exports of Value Added: A Unified Framework," NBER Chapters, in: Challenges of Globalization in the Measurement of National Accounts, pages 389-421, National Bureau of Economic Research, Inc.
   5. Krecik, Markus, 2024. "A needs-based framework for approximating decisions and well-being," Discussion Papers 2024/2, Free University Berlin, School of Business & Economics.

Articles

1. Björkegren, Daniel & Karaca, Burak Ceyhun, 2022. "Network adoption subsidies: A digital evaluation of a rural mobile phone program in Rwanda," Journal of Development Economics, Elsevier, vol. 154(C).

   Cited by:

   1. Chunfang Yang & Changming Cheng & Nanyang Cheng & Yifeng Zhang, 2023. "Research on the Impact of Internet Use on Farmers’ Adoption of Agricultural Socialized Services," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
   2. Mengling Tian & Ruifeng Liu & Jian Wang & Jiahao Liang & Yefan Nian & Hengyun Ma, 2023. "Impact of Environmental Values and Information Awareness on the Adoption of Soil Testing and Formula Fertilization Technology by Farmers—A Case Study Considering Social Networks," Agriculture, MDPI, vol. 13(10), pages 1-22, October.

2. Daniel Björkegren, 2022. "Competition in network industries: Evidence from the Rwandan mobile phone network," RAND Journal of Economics, RAND Corporation, vol. 53(1), pages 200-225, March.
   • Daniel Bjorkegren, 2020. "Competition in Network Industries: Evidence from the Rwandan Mobile Phone Network," Working Papers 2020-04, Brown University, Department of Economics.
   See citations under working paper version above.
3. Daniel Björkegren, 2019. "The Adoption of Network Goods: Evidence from the Spread of Mobile Phones in Rwanda," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(3), pages 1033-1060.

   Cited by:

   1. Xiaomeng Lu & Yali Lai & Yong Zhang, 2023. "Digital financial inclusion and investment diversification: Evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(S2), pages 2781-2799, June.
   2. Oughton, Edward J. & Comini, Niccolò & Foster, Vivien & Hall, Jim W., 2022. "Policy choices can help keep 4G and 5G universal broadband affordable," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
   3. Blouin, Authur & Mukand, Sharun W, 2019. "Erasing Ethnicity? Propaganda, Nation Building and Identity in Rwanda," The Warwick Economics Research Paper Series (TWERPS) 1231, University of Warwick, Department of Economics.
      • Arthur Blouin & Sharun W. Mukand, 2019. "Erasing Ethnicity? Propaganda, Nation Building, and Identity in Rwanda," Journal of Political Economy, University of Chicago Press, vol. 127(3), pages 1008-1062.
      • Blouin, Arthur & Mukand, Sharun W., 2019. "Erasing Ethnicity? Propaganda, Nation Building and Identity in Rwanda," CAGE Online Working Paper Series 443, Competitive Advantage in the Global Economy (CAGE).
   4. Joel Cariolle, 2018. "Telecommunication Submarine-C able Deployment and the Digital Divide in Sub-Saharan Africa [fondation pour les études et recherches sur le développement international Telecommunication Submarine- C," Post-Print hal-01938451, HAL.
      • Joël CARIOLLE, 2019. "Telecommunication Submarine- Cable Deployment and the Digital Divide in Sub-Saharan Africa," Working Papers P241, FERDI.
      • Joël Cariolle, 2018. "Telecommunication Submarine-Cable Deployment and the Digital Divide in Sub-Saharan Africa," CESifo Working Paper Series 7415, CESifo.
      • Joël CARIOLLE, 2019. "Telecommunication Submarine- Cable Deployment and the Digital Divide in Sub-Saharan Africa," Working Papers P241, FERDI.
   5. Liangfei Qiu & Zhan (Michael) Shi & Andrew B. Whinston, 2018. "Learning from Your Friends’ Check-Ins: An Empirical Study of Location-Based Social Networks," Information Systems Research, INFORMS, vol. 29(4), pages 1044-1061, December.
   6. Björkegren, Daniel & Karaca, Burak Ceyhun, 2022. "Network adoption subsidies: A digital evaluation of a rural mobile phone program in Rwanda," Journal of Development Economics, Elsevier, vol. 154(C).
   7. Theresa Kuchler & Johannes Stroebel, 2022. "Social Interactions, Resilience, and Access to Economic Opportunity: A Research Agenda for the Field of Computational Social Science," CESifo Working Paper Series 9606, CESifo.
   8. Jianjing Lin, 2023. "To follow the market or the parent system: Evidence from health IT adoption by hospital chains," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 891-910, October.
   9. Joël Cariolle & David A Carroll, 2020. "Digital Technologies for Small and Medium Enterprises and job creation in Sub-Saharan Africa," Working Papers hal-03004583, HAL.
   10. Joël Cariolle, 2021. "International connectivity and the digital divide in Sub-Saharan Africa," Post-Print hal-04217762, HAL.
       • Joel Cariolle, 2020. "International Connectivity and the Digital Divide in Sub-Saharan Africa," Working Papers hal-02865546, HAL.
       • Cariolle, Joël, 2021. "International connectivity and the digital divide in Sub-Saharan Africa," Information Economics and Policy, Elsevier, vol. 55(C).
   11. Jin‐Hyuk Kim & Peter Newberry & Liad Wagman & Ran Wolff, 2022. "Local Network Effects in the Adoption of a Digital Platform," Journal of Industrial Economics, Wiley Blackwell, vol. 70(3), pages 493-524, September.
   12. Francis Annan & Belinda Archibong, 2023. "The Value of Communication for Mental Health," NBER Working Papers 31638, National Bureau of Economic Research, Inc.
   13. Mukeshimana, Marie Claire & Zhao, Zhen-Yu & Nshimiyimana, Jean Pierre, 2021. "Evaluating strategies for renewable energy development in Rwanda: An integrated SWOT – ISM analysis," Renewable Energy, Elsevier, vol. 176(C), pages 402-414.
   14. 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.
       • Marcel Fafchamps & Måns Söderbom & Monique van den Boogart, 2022. "Adoption with Social Learning and Network Externalities," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(6), pages 1259-1282, December.
   15. Jenny Aker & Joel Cariolle, 2022. "The Use of Digital for Public Service Provision in Sub-Saharan Africa," Post-Print hal-03003899, HAL.
       • Joël Cariolle & David A Carroll, 2022. "The Use of Digital for Public Service Provision in Sub-Saharan Africa," Working Papers hal-03004535, HAL.
   16. Gautam, Sanghmitra, 2023. "Quantifying welfare effects in the presence of externalities: An ex-ante evaluation of sanitation interventions," Journal of Development Economics, Elsevier, vol. 164(C).
   17. Shane Greenstein, 2020. "Digital Infrastructure," NBER Chapters, in: Economic Analysis and Infrastructure Investment, pages 409-447, National Bureau of Economic Research, Inc.
   18. Daniel Björkegren, 2022. "Competition in network industries: Evidence from the Rwandan mobile phone network," RAND Journal of Economics, RAND Corporation, vol. 53(1), pages 200-225, March.
       • Daniel Bjorkegren, 2020. "Competition in Network Industries: Evidence from the Rwandan Mobile Phone Network," Working Papers 2020-04, Brown University, Department of Economics.
   19. Angelo D'Andrea & Patrick Hitayezu & Kangni Kpodar & Nicola Limodio & Andrea F. Presbitero, 2024. "Mobile internet, collateral and banking," Temi di discussione (Economic working papers) 1454, Bank of Italy, Economic Research and International Relations Area.
       • Angelo D’Andrea & Patrick Hitayezu & Mr. Kangni R Kpodar & Nicola Limodio & Mr. Andrea F Presbitero, 2024. "Mobile Internet, Collateral, and Banking," IMF Working Papers 2024/070, International Monetary Fund.
   20. Yue Liu & Rong Luo, 2023. "Network Effects and Multinetwork Sellers’ Dynamic Pricing in the U.S. Smartphone Market," Management Science, INFORMS, vol. 69(6), pages 3297-3318, June.
   21. Joël Cariolle & Michele Imbruno & Jaime de Melo, 2020. "Bilateral digital connectivity and firm participation in export markets," Working Papers hal-03182438, HAL.
   22. Mobarak, Ahmed & Levinsohn, James & Guiteras, Raymond, 2019. "Demand Estimation with Strategic Complementarities: Sanitation in Bangladesh," CEPR Discussion Papers 13498, C.E.P.R. Discussion Papers.
   23. Daniel Bjorkegren & Burak Ceyhun Karaca, 2020. "The Effect of Network Adoption Subsidies: Evidence from Digital Traces in Rwanda," Papers 2002.05791, arXiv.org.

4. Daniel Björkegren & Darrell Grissen, 2018. "The Potential of Digital Credit to Bank the Poor," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 68-71, May.

   Cited by:

   1. Suri, Tavneet & Bharadwaj, Prashant & Jack, William, 2021. "Fintech and household resilience to shocks: Evidence from digital loans in Kenya," Journal of Development Economics, Elsevier, vol. 153(C).
   2. Song, Yunxing & Gong, Yuanyuan & Song, Yan & Chen, Xiaohui, 2024. "Exploring the impact of digital inclusive finance on consumption volatility: Insights from household entrepreneurship and income volatility," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
   3. Valentina Michelangeli & Eliana Viviano, 2021. "Can internet banking affect households' participation in financial markets and financial awareness?," Temi di discussione (Economic working papers) 1329, Bank of Italy, Economic Research and International Relations Area.
      • Valentina Michelangeli & Eliana Viviano, 2024. "Can Internet Banking Affect Households' Participation in Financial Markets and Financial Awareness?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(4), pages 705-739, June.
   4. Daniel Kandie & Khan Jahirul Islam, 2022. "A new era of microfinance: The digital microcredit and its impact on poverty," Journal of International Development, John Wiley & Sons, Ltd., vol. 34(3), pages 469-492, April.
   5. I. Ramsay & T. Williams, 2020. "Peering Forward, 10 Years After: International Policy and Consumer Credit Regulation," Journal of Consumer Policy, Springer, vol. 43(1), pages 209-226, March.
   6. Prashant Bharadwaj & William Jack & Tavneet Suri, 2019. "Fintech and Household Resilience to Shocks: Evidence from Digital Loans in Kenya," NBER Working Papers 25604, National Bureau of Economic Research, Inc.
   7. Hoang, Daniel & Wiegratz, Kevin, 2022. "Machine learning methods in finance: Recent applications and prospects," Working Paper Series in Economics 158, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
   8. Daniel Bjorkegren & Darrell Grissen, 2017. "Behavior Revealed in Mobile Phone Usage Predicts Loan Repayment," Papers 1712.05840, arXiv.org, revised Dec 2019.
   9. Jenny Aker & Joel Cariolle, 2022. "The Use of Digital for Public Service Provision in Sub-Saharan Africa," Post-Print hal-03003899, HAL.
      • Joël Cariolle & David A Carroll, 2022. "The Use of Digital for Public Service Provision in Sub-Saharan Africa," Working Papers hal-03004535, HAL.
   10. Yang, Tong & Zhang, Xun, 2022. "FinTech adoption and financial inclusion: Evidence from household consumption in China," Journal of Banking & Finance, Elsevier, vol. 145(C).
   11. Li, Xingguang & Zhang, Jianjun, 2024. "Rural digital credit and residential energy consumption: Evidence from the agricultural production perspective," Energy, Elsevier, vol. 290(C).
   12. Xuwen Pan & Cai Zhou, 2023. "The impact of e‐commerce city pilot on the spatial agglomeration of high‐end service industry in China," International Studies of Economics, John Wiley & Sons, vol. 18(3), pages 326-350, September.
   13. Gabriel E. Kreindler & Yuhei Miyauchi, 2019. "Measuring Commuting and Economic Activity inside Cities with Cell Phone Records," Boston University - Department of Economics - Working Papers Series WP2020-006, Boston University - Department of Economics, revised Apr 2020.
   14. Constantin Johnen & Oliver Mußhoff, 2023. "Digital credit and the gender gap in financial inclusion: Empirical evidence from Kenya," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(2), pages 272-295, March.

5. Daniel Björkegren & Darrell Grissen, 0. "Behavior Revealed in Mobile Phone Usage Predicts Credit Repayment," The World Bank Economic Review, World Bank, vol. 34(3), pages 618-634.
   • Bjorkegren,Daniel & Grissen,Darrell, 2019. "Behavior Revealed in Mobile Phone Usage Predicts Credit Repayment," Policy Research Working Paper Series 9074, The World Bank.
   See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 9 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-PAY: Payment Systems and Financial Technology (5) 2017-10-22 2020-02-24 2020-02-24 2020-03-02 2022-05-09. Author is listed
2. NEP-EXP: Experimental Economics (3) 2013-08-05 2020-04-20 2022-02-07
3. NEP-BIG: Big Data (2) 2020-04-20 2022-07-25
4. NEP-CMP: Computational Economics (2) 2020-04-20 2022-07-25
5. NEP-COM: Industrial Competition (2) 2017-10-22 2020-02-24
6. NEP-AFR: Africa (1) 2022-05-09
7. NEP-CTA: Contract Theory and Applications (1) 2017-10-22
8. NEP-DCM: Discrete Choice Models (1) 2013-08-05
9. NEP-DEV: Development (1) 2022-05-09
10. NEP-ECM: Econometrics (1) 2022-02-07
11. NEP-FDG: Financial Development and Growth (1) 2022-05-09
12. NEP-GTH: Game Theory (1) 2020-04-20
13. NEP-HAP: Economics of Happiness (1) 2022-05-09
14. NEP-IND: Industrial Organization (1) 2020-02-24
15. NEP-MFD: Microfinance (1) 2020-02-24
16. NEP-NET: Network Economics (1) 2020-02-24
17. NEP-ORE: Operations Research (1) 2022-02-07
18. NEP-REG: Regulation (1) 2020-03-02
19. NEP-UPT: Utility Models and Prospect Theory (1) 2013-08-05

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