Mobile Money in Tanzania

In developing countries with sparse retail banking branches, mobile telecom net- works have emerged as major providers of financial services bypassing traditional banks. Using individual-level mobile money transaction data in Tanzania, we find that the vast majority of these transactions can be classified as either (i) transferring money to others, (ii) transporting money for short distances, or (iii) storing money for short to medium periods of time. We find that the demand for long-distance transfers is less elastic than for short-distance transfers suggesting that the mobile networks compete with traditional cash transportation by bus drivers, in addition to competing with each other. Using the revealed preferences for transportation and storage transactions, we monetize the economic damage caused by a high level of crime. We estimate the willingness to pay to avoid walking with cash an extra kilometer and to avoid storing money at home for an extra day to be 1.1% and 1% of an average transaction, respectively. We propose a Pareto superior price discrimination scheme where cash-out fees that follow a transfer are set to zero, while otherwise cash-out fees are set a bit below transfer fees.

[1]  Bo E. Honoré On Marginal Effects in Semiparametric Censored Regression Models , 2008 .

[2]  Niina Mallat,et al.  Exploring consumer adoption of mobile payments - A qualitative study , 2007, J. Strateg. Inf. Syst..

[3]  K. Sudhir,et al.  The "Peter Pan Syndrome" in Emerging Markets: The Productivity-Transparency Trade-off in IT Adoption , 2015, Mark. Sci..

[4]  Greg M. Allenby,et al.  Modeling Interdependent Consumer Preferences , 2003 .

[5]  Kannan Srinivasan,et al.  Editorial - Marketing Science in Emerging Markets , 2015, Mark. Sci..

[6]  Antitrust Evaluation of Horizontal Mergers: An Economic Alternative to Market Definition , 2008 .

[7]  Raimar Richers The theory of economic development , 1961 .

[8]  Grant Miller,et al.  Learning About New Technologies Through Social Networks: Experimental Evidence on Nontraditional Stoves in Bangladesh , 2015, Mark. Sci..

[9]  William Jack,et al.  Risk Sharing and Transactions Costs: Evidence from Kenya's Mobile Money Revolution , 2014 .

[10]  R. Levine Financial Development and Economic Growth: Views and Agenda , 1999 .

[11]  Vijay Mahajan,et al.  Unobserved Retailer Behavior in Multimarket Data: Joint Spatial Dependence in Market Shares and Promotion Variables , 2001 .

[12]  N. Economides The principle of minimum differentiation revisited , 1984 .

[13]  Kaifu Zhang,et al.  Breaking Free of a Stereotype: Should a Domestic Brand Pretend to Be a Foreign One? , 2015, Mark. Sci..

[14]  Matthew Osborne,et al.  Spatial differentiation and price discrimination in the cement industry: evidence from a structural model , 2014 .

[15]  Wolfgang Jank,et al.  Understanding Geographical Markets of Online Firms Using Spatial Models of Customer Choice , 2005 .

[16]  M. Rosenzweig,et al.  Credit Market Constraints, Consumption Smoothing, and the Accumulation of Durable Production Assets in Low-Income Countries: Investments in Bullocks in India , 1993, Journal of Political Economy.

[17]  H. Hotelling Stability in Competition , 1929 .

[18]  Marcel Fafchamps,et al.  Risk Sharing Networks in Rural Philippines , 1997 .

[19]  H. Broadman,et al.  Finance and Growth: Schumpeter Might Be Right , 1993 .

[20]  Ganesh Iyer,et al.  Research Opportunities in Emerging Markets: an Inter-disciplinary Perspective from Marketing, Economics, and Psychology , 2015, Customer Needs and Solutions.

[21]  S. Salop Monopolistic competition with outside goods , 1979 .

[22]  Peter E. Rossi,et al.  Marketing models of consumer heterogeneity , 1998 .

[23]  N. Economides The economics of networks , 1996 .

[24]  N. Economides The Economics of Networks , 1995 .

[25]  Estimation of Panel Data Regression Models with Two-Sided Censoring or Truncation , 2011 .

[26]  R. Thomadsen The Effect of Ownership Structure on Prices in Geographically Differentiated Industries , 2005 .

[27]  Brian McManus,et al.  Nonlinear pricing in an oligopoly market: the case of specialty coffee , 2007 .

[28]  Bilal Zia,et al.  Prices or Knowledge? What Drives Demand for Financial Services in Emerging Markets? , 2010 .

[29]  J. Aker Information from Markets Near and Far: Mobile Phones and Agricultural Markets in Niger , 2010 .

[30]  Antoinette Louw,et al.  DAR ES SALAAM , 2001 .

[31]  N. Economides,et al.  Compatibility and the Creation of Shared Networks , 1996 .

[32]  T. Khanna,et al.  Why Focused Strategies May Be Wrong for Emerging Markets , 1997 .

[33]  D. Pollard,et al.  Simulation and the Asymptotics of Optimization Estimators , 1989 .

[34]  P. Davis Spatial competition in retail markets: movie theaters , 2006 .

[35]  Leora F. Klapper,et al.  Financial Inclusion in Africa: An Overview , 2012 .

[36]  Steven T. Berry,et al.  Automobile Prices in Market Equilibrium , 1995 .

[37]  Joseph Farrell,et al.  Converters, Compatibility, and the Control of Interfaces , 2015 .

[38]  Bo E. Honoré,et al.  Trimmed LAD and Least Squares Estimation of Truncated and Censored Regression Models with Fixed Effects , 1992 .

[39]  W. Maloney The Peter Pan Syndrome , 2014 .

[40]  J. Blumenstock,et al.  Violence and financial decisions: evidence from mobile money in Afghanistan , 2014 .

[41]  P. Klemperer,et al.  Chapter 31 Coordination and Lock-In: Competition with Switching Costs and Network Effects , 2007 .

[42]  C. Shapiro,et al.  Systems Competition and Network Effects , 1994 .

[43]  Yuxin Chen,et al.  Untangling Searchable and Experiential Quality Responses to Counterfeits , 2013, Mark. Sci..

[44]  J. M. Villas-Boas,et al.  Endogeneity in Brand Choice Models , 1999 .

[45]  A. Mushfiq Mobarak,et al.  LEARNING ABOUT NEW TECHNOLOGIES THROUGH OPINION LEADERS AND SOCIAL NETWORKS: EXPERIMENTAL EVIDENCE ON NON-TRADITIONAL STOVES IN RURAL BANGLADESH * , 2013 .

[46]  X. Vives,et al.  On the Strategic Choice of Spatial Price Policy , 1998 .