IDEAS home Printed from https://ideas.repec.org/p/eui/euiwps/eco2007-02.html
   My bibliography  Save this paper

Does the Good Matter? Evidence on Moral Hazard and Adverse Selection from Consumer Credit Market

Author

Listed:
  • Alena Bicakova

Abstract

Default rates on instalment loans vary with type of the good purchased. Using an Italian dataset of instalment loans between 1995-1999, we first show that the variation persists even after controlling for contract and individual-specific characteristics, and for the potential selection bias due to credit rationing. We explore whether the residual variation in the default rates across the different types of goods is due to unobserved individual heterogeneity (selection effect) or due to the effect of the specific characteristics of the good (good effect). We claim that the two effects may be interpreted as adverse selection and moral hazard. We exploit the data on multiple contracts per individual to disentangle the two effects, and find that most of the variation is explained by the selection effect. Individuals who buy motorcycles on credit are more likely to default on any loan, while those buying kitchen appliances, furniture and computers are more likely to repay, compared to average. We conclude that there is asymmetric information in the consumer credit market, mostly in the form of adverse selection.

Suggested Citation

  • Alena Bicakova, 2007. "Does the Good Matter? Evidence on Moral Hazard and Adverse Selection from Consumer Credit Market," Economics Working Papers ECO2007/02, European University Institute.
  • Handle: RePEc:eui:euiwps:eco2007/02
    as

    Download full text from publisher

    File URL: http://cadmus.iue.it/dspace/bitstream/1814/6745/1/ECO-2007-02.pdf
    File Function: main text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Michael E. Staten & John M. Barron & Andrew B. Chong, 2004. "The Emergence of Captive Finance Companies and Risk Segmentation of the Consumer Loan Market:Theory and Evidence," Econometric Society 2004 Far Eastern Meetings 584, Econometric Society.
    2. Orazio P. Attanasio & Pinelopi Koujianou Goldberg & Ekaterini Kyriazidou, 2008. "Credit Constraints In The Market For Consumer Durables: Evidence From Micro Data On Car Loans," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(2), pages 401-436, May.
    3. Giuseppe Bertola & Stefan Hochguertel & Winfried Koeniger, 2005. "Dealer Pricing Of Consumer Credit ," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(4), pages 1103-1142, November.
    4. Rob Alessie & Stefan Hochguertel & Guglielmo Weber, 2005. "Consumer Credit: Evidence From Italian Micro Data," Journal of the European Economic Association, MIT Press, vol. 3(1), pages 144-178, March.
    5. Wang, Hung-Jen & White, Michelle J, 2000. "An Optimal Personal Bankruptcy Procedure and Proposed Reforms," The Journal of Legal Studies, University of Chicago Press, vol. 29(1), pages 255-286, January.
    6. Wendy Edelberg, 2003. "Risk-based pricing of interest rates in household loan markets," Finance and Economics Discussion Series 2003-62, Board of Governors of the Federal Reserve System (U.S.).
    7. Luca Casolaro & Leonardo Gambacorta & Luigi Guiso, 2005. "Regulation, formal and informal enforcement and the development of the household loan market. Lessons from Italy," Temi di discussione (Economic working papers) 560, Bank of Italy, Economic Research and International Relations Area.
    8. Charles Grant & Mario Padula, 2006. "Informal Credit Markets, Judicial Costs and Consumer Credit: Evidence from Firm Level Data," CSEF Working Papers 155, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    9. Elisabetta Iossa & Giuliana Palumbo, 2004. "Product quality, lender liability, and consumer credit," Oxford Economic Papers, Oxford University Press, vol. 56(2), pages 331-343, April.
    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. Grant, Charles & Padula, Mario, 2013. "Using bounds to investigate household debt repayment behaviour," Research in Economics, Elsevier, vol. 67(4), pages 336-354.
    2. Mario Padula & Charles Grant, 2007. "Bounds on repayment behavior: evidence for the consumer credit market," Working Papers 2007_26, Department of Economics, University of Venice "Ca' Foscari".
    3. Giraudet, Louis-Gaëtan & Petronevich, Anna & Faucheux, Laurent, 2021. "Differentiated green loans," Energy Policy, Elsevier, vol. 149(C).
    4. Gabriela Kuvikova, 2015. "Does Loan Maturity Matter in Risk-Based Pricing? Evidence from Consumer Loan Data," CERGE-EI Working Papers wp538, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    5. Gabriela Kuvikova, 2015. "Loans for Better Living: The Role of Informal Collateral," CERGE-EI Working Papers wp541, The Center for Economic Research and Graduate Education - Economics Institute, Prague.

    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. Serena Trucchi, 2011. "How credit markets affect homeownership: an explanation based on differences between Italian regions," CeRP Working Papers 122, Center for Research on Pensions and Welfare Policies, Turin (Italy).
    2. Mario Padula & Charles Grant, 2007. "Bounds on repayment behavior: evidence for the consumer credit market," Working Papers 2007_26, Department of Economics, University of Venice "Ca' Foscari".
    3. Grant, Charles & Padula, Mario, 2013. "Using bounds to investigate household debt repayment behaviour," Research in Economics, Elsevier, vol. 67(4), pages 336-354.
    4. Charles Grant & Mario Padula, 2006. "Informal Credit Markets, Judicial Costs and Consumer Credit: Evidence from Firm Level Data," CSEF Working Papers 155, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    5. DeFusco, Anthony A. & Tang, Huan & Yannelis, Constantine, 2022. "Measuring the welfare cost of asymmetric information in consumer credit markets," Journal of Financial Economics, Elsevier, vol. 146(3), pages 821-840.
    6. Lukas, Moritz & Nöth, Markus, 2022. "Voluntary minimum repayments and borrower heterogeneity: Evidence from revolving consumer credit," Journal of Banking & Finance, Elsevier, vol. 135(C).
    7. Sule Alan & Gyongyi Loranth, 2013. "Subprime Consumer Credit Demand: Evidence from a Lender's Pricing Experiment," Review of Financial Studies, Society for Financial Studies, vol. 26(9), pages 2353-2374.
    8. Nuno C. Martins & Ernesto Villanueva, 2003. "The impact of interest-rate subsidies on long-term household debt: Evidence from a large program," Economics Working Papers 713, Department of Economics and Business, Universitat Pompeu Fabra.
    9. Karlan, Dean S. & Zinman, Jonathan, 2005. "Elasticities of Demand for Consumer Credit," Center Discussion Papers 28485, Yale University, Economic Growth Center.
    10. Lukas, Moritz, 2017. "Estimating interest rate elasticities in consumer credit," Economics Letters, Elsevier, vol. 156(C), pages 155-158.
    11. Lukas, M., 2019. "Relative prices and product substitution: Evidence from shocks to consumer credit interest rates," Journal of Behavioral and Experimental Finance, Elsevier, vol. 21(C), pages 39-49.
    12. Elisabetta Iossa & Giuliana Palumbo, 2010. "Over-optimism and lender liability in the consumer credit market," Oxford Economic Papers, Oxford University Press, vol. 62(2), pages 374-394, April.
    13. Philip Brock & Helmut Franken M., 2003. "Measuring the Determinants of Average and Marginal Bank Interest Rate Spreads in Chile, 1994-2001," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 6(3), pages 45-65, December.
    14. Martins, Nuno C. & Villanueva, Ernesto, 2006. "The impact of mortgage interest-rate subsidies on household borrowing," Journal of Public Economics, Elsevier, vol. 90(8-9), pages 1601-1623, September.
    15. Lukas, Moritz & Nöth, Markus, 2016. "Commitment and Borrower Heterogeneity: Evidence from Revolving Consumer Credit," VfS Annual Conference 2016 (Augsburg): Demographic Change 145870, Verein für Socialpolitik / German Economic Association.
    16. Madeira, Carlos, 2019. "The impact of interest rate ceilings on households’ credit access: Evidence from a 2013 Chilean legislation," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 166-179.
    17. Luis E. Arango & Lina Cardona-Sosa, 2015. "Determinants of consumer credit within a debt constrained framework. Evidence from microdata," Borradores de Economia 13965, Banco de la Republica.
    18. Luis Eduardo Arango & Lina Cardona-Sosa, 2015. "Determinants of consumer credit within a constrained framework: evidence from Colombian microdata," Borradores de Economia 912, Banco de la Republica de Colombia.
    19. Akgündüz, Yusuf Emre & Dursun-de Neef, H. Özlem & Hacihasanoğlu, Yavuz Selim & Yılmaz, Fatih, 2023. "Cost of credit, mortgage demand and house prices," Journal of Banking & Finance, Elsevier, vol. 154(C).
    20. Gabriela Kuvikova, 2015. "Does Loan Maturity Matter in Risk-Based Pricing? Evidence from Consumer Loan Data," CERGE-EI Working Papers wp538, The Center for Economic Research and Graduate Education - Economics Institute, Prague.

    More about this item

    Keywords

    consumer credit; default; adverse selection; moral hazard;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

    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:eui:euiwps:eco2007/02. 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: Cécile Brière (email available below). General contact details of provider: https://edirc.repec.org/data/deiueit.html .

    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.