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The Effect of Network Adoption Subsidies: Evidence from Digital Traces in Rwanda

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  • Daniel Bjorkegren
  • Burak Ceyhun Karaca

Abstract

Governments spend billions of dollars subsidizing the adoption of different goods. However, it is difficult to gauge whether those goods are resold, or are valued by their ultimate recipients. This project studies a program to subsidize the adoption of mobile phones in one of the poorest countries in the world. Rwanda subsidized the equivalent of 8% of the stock of mobile phones for select rural areas. We analyze the program using 5.3 billion transaction records from the dominant mobile phone network. Transaction records reveal where and how much subsidized handsets were ultimately used, and indicators of resale. Some subsidized handsets drifted from the rural areas where they were allocated to urban centers, but the subsidized handsets were used as much as handsets purchased at retail prices, suggesting they were valued. Recipients are similar to those who paid for phones, but are highly connected to each other. We then simulate welfare effects using a network demand system that accounts for how each person's adoption affects the rest of the network. Spillovers are substantial: 73-76% of the operator revenue generated by the subsidy comes from nonrecipients. We compare the enacted subsidy program to counterfactual targeting based on different network heuristics.

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  • Daniel Bjorkegren & Burak Ceyhun Karaca, 2020. "The Effect of Network Adoption Subsidies: Evidence from Digital Traces in Rwanda," Papers 2002.05791, arXiv.org.
  • Handle: RePEc:arx:papers:2002.05791
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    References listed on IDEAS

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    1. Burton Mark & Macher Jeffrey & Mayo John W, 2007. "Understanding Participation in Social Programs: Why Don't Households Pick up the Lifeline?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-28, November.
    2. 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.
    3. Banerjee, Abhijit & Jackson, Matthew O. & Duflo, Esther & Chandrasekhar, Arun G., 2014. "Gossip: Identifying Central Individuals in a Social Network," CEPR Discussion Papers 10120, C.E.P.R. Discussion Papers.
    4. 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.
    5. Vivi Alatas & Abhijit Banerjee & Rema Hanna & Benjamin A. Olken & Julia Tobias, 2012. "Targeting the Poor: Evidence from a Field Experiment in Indonesia," American Economic Review, American Economic Association, vol. 102(4), pages 1206-1240, June.
    6. Daniel Bjorkegren & Darrell Grissen, 2017. "Behavior Revealed in Mobile Phone Usage Predicts Loan Repayment," Papers 1712.05840, arXiv.org, revised Dec 2019.
    7. 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.
    8. Vivi Alatas & Abhijit Banerjee & Rema Hanna & Benjamin A. Olken & Ririn Purnamasari & Matthew Wai-Poi, 2016. "Self-Targeting: Evidence from a Field Experiment in Indonesia," Journal of Political Economy, University of Chicago Press, vol. 124(2), pages 371-427.
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    Cited by:

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

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