IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-01491217.html
   My bibliography  Save this paper

Learning to walk before you run : Financial Behavior and mobile banking in Madagascar

Author

Listed:
  • Florence Arestoff

    (LEDa - Laboratoire d'Economie de Dauphine - IRD - Institut de Recherche pour le Développement - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Baptiste Venet

    (LEDa - Laboratoire d'Economie de Dauphine - IRD - Institut de Recherche pour le Développement - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

Abstract

In Madagascar, Orange introduced its mobile banking services in September 2010. Mobile-banking (m-banking) is a system that allows users to conduct a number of financial transactions through a mobile phone. The existing body of literature suggests that the use of m-banking services may have a positive impact on individual savings, affect money transfer behavior and/or encourage financial inclusion. In 2012, we conducted a survey of 598 randomly selected Orange clients in Antananarivo. We use the matching methodology to assess the impacts of m-banking on clients' financial behavior. The results show that the use of m-banking services increases the number of national remittances sent and received. It is in line with the conclusions of the existing literature devoted to M-Pesa in Kenya. Yet we find that using of m-banking services has no significant impact on the sums saved by users or the sums of remittances sent and received, which appears to contradict the users' perceptions. This result may, however, be explained by a learning-by-doing process: users need to first learn to trust the e-money system before making any significant changes to their financial behavior.

Suggested Citation

  • Florence Arestoff & Baptiste Venet, 2017. "Learning to walk before you run : Financial Behavior and mobile banking in Madagascar," Working Papers hal-01491217, HAL.
    • Handle: RePEc:hal:wpaper:hal-01491217
    Note: View the original document on HAL open archive server: https://hal.science/hal-01491217v1
    as

    Download full text from publisher

    File URL: https://hal.science/hal-01491217v1/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Olga Morawczynski & Mark Pickens, 2009. "Poor People Using Mobile Financial Services : Observations on Customer Usage and Impact from M-PESA," World Bank Publications - Reports 9492, The World Bank Group.
    2. Isaac Mbiti & David N. Weil, 2015. "Mobile Banking: The Impact of M-Pesa in Kenya," NBER Chapters, in: African Successes, Volume III: Modernization and Development, pages 247-293, National Bureau of Economic Research, Inc.
    3. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    4. William Jack & Tavneet Suri, 2011. "Mobile Money: The Economics of M-PESA," NBER Working Papers 16721, National Bureau of Economic Research, Inc.
    5. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
    6. Alberto Abadie & Guido W. Imbens, 2008. "On the Failure of the Bootstrap for Matching Estimators," Econometrica, Econometric Society, vol. 76(6), pages 1537-1557, November.
    7. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    8. Beatriz Armendariz & Jonathan Morduch, 2007. "The Economics of Microfinance," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262512017, December.
    9. Thomas Brodaty & Bruno Crépon & Denis Fougère, 2007. "Les méthodes micro-économétriques d'évaluation et leurs applications aux politiques actives de l'emploi," Economie & Prévision, La Documentation Française, vol. 0(1), pages 93-118.
    10. Donald B. Rubin, 1977. "Assignment to Treatment Group on the Basis of a Covariate," Journal of Educational and Behavioral Statistics, , vol. 2(1), pages 1-26, March.
    11. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Possner, Annkathrin & Rosero, Gabriel & Musshoff, Oliver, 2022. "Saving on the Phone - Evidence from Ghanaian Cocoa Farmers," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 321156, Agricultural Economics Society - AES.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Florence Arestoff & Baptiste Venet, 2013. "Learning to walk before you run: Financial Behavior and mobile banking in Madagascar," Working Papers DT/2013/09, DIAL (Développement, Institutions et Mondialisation).
    2. repec:dau:papers:123456789/11979 is not listed on IDEAS
    3. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    4. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    5. Jasmin Kantarevic & Boris Kralj, 2013. "Link Between Pay For Performance Incentives And Physician Payment Mechanisms: Evidence From The Diabetes Management Incentive In Ontario," Health Economics, John Wiley & Sons, Ltd., vol. 22(12), pages 1417-1439, December.
    6. Ruben Enikolopov, 2009. "Estimation of treatment effects (in Russian)," Quantile, Quantile, issue 6, pages 3-14, March.
    7. Sankar Mukhopadhyay & David Oxborrow, 2012. "The Value of an Employment-Based Green Card," Demography, Springer;Population Association of America (PAA), vol. 49(1), pages 219-237, February.
    8. Andrea Pufahl & Christoph R. Weiss, 2009. "Evaluating the effects of farm programmes: results from propensity score matching," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 79-101, March.
    9. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    10. Olivier Dagnelie & Philippe Lemay‐Boucher, 2012. "Rosca Participation in Benin: A Commitment Issue," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 235-252, April.
    11. Ramírez-Álvarez, Aurora Alejandra, 2019. "Land titling and its effect on the allocation of public goods: Evidence from Mexico," World Development, Elsevier, vol. 124(C), pages 1-1.
    12. Tymon Słoczyński, 2015. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 588-604, August.
    13. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LP, vol. 7(3), pages 334-350, September.
    14. Dettmann, Eva & Becker, Claudia & Schmeißer, Christian, 2010. "Is there a Superior Distance Function for Matching in Small Samples?," IWH Discussion Papers 3/2010, Halle Institute for Economic Research (IWH).
    15. Hohendanner Christian, 2011. "Ein-Euro-Jobs und reguläre Beschäftigung / One-Euro-Jobs and Regular Employment: Eine Analyse potenzieller Substitutionseffekte mit Daten des IAB-Betriebspanels / An Analysis of Potential Substitution," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(2), pages 210-246, April.
    16. Rodrigo Dorantes-Gilardi & Aurora A. Ramírez-Álvarez & Diana Terrazas-Santamaría, 2023. "Is there a differentiated gender effect of collaboration with super-cited authors? Evidence from junior researchers in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2317-2336, April.
    17. Anupam Nanda, 2005. "Property Condition Disclosure Law: Does 'Seller Tell All' Matter in Property Values?," Working papers 2005-47, University of Connecticut, Department of Economics, revised Jul 2006.
    18. Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2007. "Using State Administrative Data to Measure Program Performance," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 761-783, November.
    19. Johar, Meliyanni, 2009. "The impact of the Indonesian health card program: A matching estimator approach," Journal of Health Economics, Elsevier, vol. 28(1), pages 35-53, January.
    20. A. Nivorozhkin & E. Nivorozhkin, 2007. "Do government sponsored vocational training programmes help the unemployed find jobs? Evidence from Russia," Applied Economics Letters, Taylor & Francis Journals, vol. 14(1), pages 5-10.
    21. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).

    More about this item

    Keywords

    Mobile banking; Low Income countries; Financial behavior; Matching methodology; Banque mobile; Matching; Comportements financiers; Pays en développement;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:wpaper:hal-01491217. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.