Mobile Money and Mobile Technologies: A Structural Estimation

References

• Angrist J, Krueger AB (1994) Why do World War II veterans earn more than nonveterans? J. Labor Econom. 12(1):74–97.Crossref, Google Scholar
• Aron J (2017) ‘Leapfrogging’: A survey of the nature and economic implications of mobile money (No. 2017-02). Centre for the Study of African Economies, University of Oxford, Oxford, UK.Google Scholar
• Balasubramanian K, Drake DF (2015) Mobile money: The effect of service quality and competition on demand. Working paper, Harvard Business School, Boston.Google Scholar
• Berry S (1994) Estimating discrete-choice models of product differentiation. RAND J. Econom. 25(2):242–262.Crossref, Google Scholar
• Berry S, Levinsohn J, Pakes A (1995) Automobile prices in market equilibrium. Econometrica. 63(4):841–890.Crossref, Google Scholar
• Bhargava HK (2013) Mixed bundling of two independent valued goods. Management Sci. 59(9):2170–2185.Link, Google Scholar
• Brynjolfsson E, Hu Y, Smith MD (2003) Consumer surplus in the digital economy: Estimating the value of increased product variety at online booksellers. Management Sci. 49(11):1580–1596.Link, Google Scholar
• Dewan RM, Freimer ML (2003) Consumers prefer bundled add-ins. J. Management Inform. Systems 20(2):99–111.Crossref, Google Scholar
• Dong Y, Chung M, Zhou C, Venkataraman S (2018) Banking on “mobile money”: The implications of mobile money services on the value chain. Manufacturing Service Oper. Management 21(2):290–307.Google Scholar
• Donovan K (2012) Mobile money for financial inclusion. Inform. Comm. Development 61(1):61–73.Google Scholar
• Economides N, Jeziorski P (2017) Compatibility and interoperability in mobile phone-based banking networks. Working paper, New York University, New York.Google Scholar
• Economist, The (2009) The power of mobile money. Accessed May 1, 2018, https://www.economist.com/leaders/2009/09/24/the-power-of-mobile-money.Google Scholar
• Etzion H, Pang M-S (2014) Complementary online services in competitive markets: Maintaining profitability in the presence of network effects. Management Inform. Systems Quart. 38(1):231–248.Crossref, Google Scholar
• Federal Reserve Board (2013) Consumers and mobile financial services. Accessed May 1, 2018, https://www.federalreserve.gov/econresdata/consumers-and-mobile-financial-services-report-201303.pdf.Google Scholar
• Ghose A, Han SP (2014) Estimating demand for mobile applications in the new economy. Management Sci. 60(6):1470–1488.Link, Google Scholar
• Goolsbee A, Petrin A (2004) The consumer gains from direct broadcast satellites and the competition with cable TV. Econometrica 72(2):351–381.Crossref, Google Scholar
• Greenstein SM (1996) From superminis to supercomputers: Estimating surplus in the computing market. Timothy FB, Gordon RJ, eds. The Economics of New Goods (University of Chicago Press, Chicago, IL), 329–372.Google Scholar
• GSMA (2017) State of the industry report on mobile money. Accessed June 10, 2018, https://www.gsma.com/mobilefordevelopment/wp-content/uploads/2018/05/GSMA_2017_State_of_the_Industry_Report_on_Mobile_Money_Full_Report.pdf.Google Scholar
• Guajardo JA, Cohen MA, Netessine S (2016) Service competition and product quality in the U.S. automobile industry. Management Sci. 62(7):1860–1877.Link, Google Scholar
• Heyer A, Mas I (2009) Factors affecting uptake of mobile money services: M-Pesa in Kenya and Tanzania. Bill and Melinda Gates Foundation. Unpublished.Google Scholar
• Hughes N, Lonie S (2007) M-PESA: Mobile money for the “unbanked” turning cellphones into 24-hour tellers in Kenya. Innovation 2(1–2):63–81.Crossref, Google Scholar
• Jack W, Ray A, Suri T (2013) Transaction networks: Evidence from mobile money in Kenya. Amer. Econom. Rev. 103(3):356–361.Crossref, Google Scholar
• Jack W, Suri T (2011) Mobile money: The economics of M-PESA. Working paper, Georgetown University, Washington, DC.Google Scholar
• Jack W, Suri T (2014) Risk sharing and transactions costs: evidence from Kenya’s mobile money revolution. Amer. Econom. Rev. 104(1):183–223.Crossref, Google Scholar
• Kadiyali V, Sudhir K, Rao VR (2001) Structural analysis of competitive behavior: New empirical industrial organization methods in marketing. Internat. J. Res. Marketing 18(1-2):161–186.Crossref, Google Scholar
• Kendall J, Maurer B, Machoka P, Veniard C (2011) An emerging platform: From money transfer system to mobile money ecosystem. Innovation 6(4):49–64.Crossref, Google Scholar
• Lal R, Sachdev I (2015) Mobile money services: Design and development for financial inclusion (pp. 15-083). Working paper, Harvard Business School, Boston.Google Scholar
• Mallat N (2007) Exploring consumer adoption of mobile payments: A qualitative study. J Strategic Inform. Systems 16(4):413–432.Crossref, Google Scholar
• Mas I, Morawczynski O (2009) Designing mobile money services lessons from M-PESA. Innovations 4(2):77–91.Crossref, Google Scholar
• Mbiti I, Weil DN (2013) The home economics of e-money: Velocity, cash management, and discount rates of M-pesa users. Amer. Econom. Rev. 103(3):369–374.Crossref, Google Scholar
• McKie E, Ferguson ME, Galbreth M, Venkataraman S (2018) How do consumers choose between multiple product generations and conditions? An empirical study of iPad sales on ebay. Production Oper. Management 27(8):1574–1594.Crossref, Google Scholar
• Milgrom P, Roberts J (1990) The economics of modern manufacturing: Technology, strategy, and organization. Amer. Econom. Rev. 80(3):511–528.Google Scholar
• Narayanan S, Manchanda P, Chintagunta PK (2005) Temporal differences in the role of marketing communication in new product categories. J. Marketing Res. 42(3):278–290.Crossref, Google Scholar
• Nevo A (2000) A practitioner’s guide to estimation of random-coefficients logit models of demand. J. Econom. Management Strategy 9(4):513–548.Crossref, Google Scholar
• Oritgão MSR (2015) Electronic payments in Mozambique: A baseline on their adoption in Maputo and Matola. PhD thesis, Nova School of Business and Economics, Lisbon, Portugal.Google Scholar
• Pang M, Etzion H (2012) Analyzing pricing strategies for online services with network effects. Inform. Systems Res. 23(4):1364–1377.Link, Google Scholar
• Porter ME, Heppelmann JE (2014) How smart, connected products are transforming competition. Harvard Bus. Rev. 92(11):66–68.Google Scholar
• Prasad A, Venkatesh R, Mahajan V (2010) Optimal bundling of technological products with network externality. Management Sci. 56(12):2224–2236.Link, Google Scholar
• Prince J, Greenstein S (2014) Does service bundling reduce churn? J. Econom. Management Strategy 23(4):839–875.Crossref, Google Scholar
• Qualcomm (2014) The evolution of mobile technologies. Accessed June 10, 2018, https://www.qualcomm.com/documents/evolution-mobile-technologies-1g-2g-3g-4g-lte.Google Scholar
• Shrier D, Canale G, Pentland A (2016) Mobile money & payments: Technology trends. Accessed June 23, 2018, https://www.getsmarter.com/blog/wp-content/uploads/2017/07/mit_mobile_and_money_payments_report.pdf.Google Scholar
• Staiger D, Stock JH (1997) Instrumental variables regression with weak instruments. Econometrica 65(3):557–586.Crossref, Google Scholar
• Stremersch S, Tellis GJ (2002) Strategic bundling of products and prices: A new synthesis for marketing. J. Marketing 66(1):55–72.Crossref, Google Scholar
• Suri T (2017) Mobile money. Annual Rev. Econom. 9:497–520.Crossref, Google Scholar
• Suri T, Jack W (2016) The long-run poverty and gender impacts of mobile money. Science 354(6317):1288–1292.Google Scholar
• Xu Y, Ghose A, Xiao B (2019) Mobile payment adoption: An empirical investigation on Alipay. https://ssrn.com/abstract=3270523.Google Scholar