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Social Ties and the Demand for Financial Services

Author

Listed:
  • Eleonora Patacchini

    (Cornell University
    EIEF
    CEPR)

  • Edoardo Rainone

    (Bank of Italy)

Abstract

This paper studies the importance of social interactions for the adoption of financial services among young adults. Specifically, we investigate whether, how, and why financial decisions among interacting agents are correlated. We exploit a unique dataset of friendship networks in the United States and a novel estimation strategy that accounts for possibly endogenous network formation. We find that not all social contacts are equally important: only long-lasting relationships influence financial decisions. Moreover, this peer influence exists only in cohesive social structures. This evidence is consistent with an important role of trust in financial decisions. When agents consider whether or not to adopt a financial instrument, they face a risk and may place greater value on information coming from agents they trust. These results can help explain the importance of face-to-face social contacts for financial decisions.

Suggested Citation

  • Eleonora Patacchini & Edoardo Rainone, 2017. "Social Ties and the Demand for Financial Services," Journal of Financial Services Research, Springer;Western Finance Association, vol. 52(1), pages 35-88, October.
  • Handle: RePEc:kap:jfsres:v:52:y:2017:i:1:d:10.1007_s10693-017-0279-0
    DOI: 10.1007/s10693-017-0279-0
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    6. Carin Cruijsen & Joris Knoben, 2021. "Ctrl+C Ctrl+Pay: Do People Mirror Electronic Payment Behavior of their Peers?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 59(1), pages 69-96, April.
    7. Marcos Agurto & Habiba Djebbari & Sudipta Sarangi Author-Name: Brenda Silupú Author-Name: Carolina Trivelli Author-Name: Javier Torres, 2020. "Local ambassadors promote mobile banking in Northern Peru," Working Papers PIERI 2020-04, PEP-PIERI.
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    More about this item

    Keywords

    Financial market participation; Financial literacy; Social interactions; Trust; Network formation; Endogeneity; Bayesian estimation;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • D1 - Microeconomics - - Household Behavior
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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