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Determinants of Short-term Lender Location and Interest Rates

Author

Listed:
  • Taylor J. Canann

    (Department of Economics, Brigham Young University)

  • Richard W. Evans

    (Department of Economics, Brigham Young University)

Abstract

This study tests the degree to which payday and title lenders differentiate their store location and interest rates based on the socioeconomic characteristics of the areas in which they operate. We use store-level lender data, geographically matched IRS income data, and Census Bureau demographic data to answer these questions. In the case of lender location, we find that payday and title lenders tend to locate in areas with lower median age, a larger population of not married households, more restaurants, and more pawn shops. We also find a nonlinear relationship between lender location and individual incomes in the surrounding area. Regarding lender interest rates, we find that competition among lenders reduces average interest rates and that riskiness of borrowers, as measured by defaults, increases average interest rates. We also find that payday and title lenders have higher interest rates in areas with lower educational attainment, smaller proportions of Black residents, and fewer married households. This evidence seems to contradict the argument that payday and title lenders prey on minorities.

Suggested Citation

  • Taylor J. Canann & Richard W. Evans, 2013. "Determinants of Short-term Lender Location and Interest Rates," BYU Macroeconomics and Computational Laboratory Working Paper Series 2013-06, Brigham Young University, Department of Economics, BYU Macroeconomics and Computational Laboratory.
    • Handle: RePEc:byu:byumcl:201306
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    References listed on IDEAS

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    1. Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107667273, June.
    2. Sumit Agarwal & Paige Marta Skiba & Jeremy Tobacman, 2009. "Payday Loans and Credit Cards: New Liquidity and Credit Scoring Puzzles?," American Economic Review, American Economic Association, vol. 99(2), pages 412-417, May.
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    Cited by:

    1. Braggion, Fabio & Manconi, Alberto & Zhu, Haikun, 2023. "Household credit and regulatory arbitrage: Evidence from online marketplace lending," Other publications TiSEM 9fbc0f2e-26f5-414f-8384-c, Tilburg University, School of Economics and Management.
    2. Jaakko Sääskilahti, 2018. "Retail Bank Interest Margins in Low Interest Rate Environments," Journal of Financial Services Research, Springer;Western Finance Association, vol. 53(1), pages 37-68, February.
    3. Pankaj Kumar Maskara & Emre Kuvvet & Gengxuan Chen, 2021. "The role of P2P platforms in enhancing financial inclusion in the United States: An analysis of peer‐to‐peer lending across the rural–urban divide," Financial Management, Financial Management Association International, vol. 50(3), pages 747-774, September.

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    More about this item

    Keywords

    Consumer lending; interest rates; payday lending; lender location;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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