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Innovations in Information Technology and the Mortgage Market

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  • Bulent Guler

    (Indiana University)

Abstract

contracts to prospective home buyers and the terms of these contracts depend on the observable characteristics of households. Households are born as either good credit risk types---having a high time discount factor---or bad types---having a low time discount factor. The type of the household is the only source of asymmetric information between households and lenders. I find that as lenders have better information about the type of households, the average downpayment fraction decreases together with an increase in the average mortgage premium, the foreclosure rate, and the dispersions of mortgage interest rates and downpayment fractions, which are consistent with the trends in the housing market in the last 15 years.

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  • Bulent Guler, 2010. "Innovations in Information Technology and the Mortgage Market," 2010 Meeting Papers 856, Society for Economic Dynamics.
  • Handle: RePEc:red:sed010:856
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    Cited by:

    1. Carlos Hatchondo, Juan & Martinez, Leonardo & Sánchez, Juan M., 2015. "Mortgage defaults," Journal of Monetary Economics, Elsevier, pages 173-190.
      • Hatchondo, Juan Carlos & Martinez, Leonardo & Sánchez, Juan M., 2011. "Mortgage defaults," Working Papers 2011-019, Federal Reserve Bank of St. Louis, revised 31 Jul 2015.
      • Leonardo Martinez & Juan Carlos Hatchondo & Juan M. Sanchez, 2012. "Mortgage Defaults," IMF Working Papers 12/26, International Monetary Fund.
      • Juan Carlos Hatchondo & Leonardo Martinez & Juan M. Sanchez, 2011. "Mortgage defaults," Working Paper 11-05, Federal Reserve Bank of Richmond.
      • Juan Carlos Hatchondo & Leonardo Martinez & Juan M. Sanchez, 2015. "Mortgage Defaults," Caepr Working Papers 2015-011 Classification-D, Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington.
    2. Gete, Pedro & Zecchetto, Franco, 2017. "Distributional Implications of Government Guarantees in Mortgage Markets," MPRA Paper 80643, University Library of Munich, Germany.
    3. Dean Corbae & Erwan Quintin, 2015. "Leverage and the Foreclosure Crisis," Journal of Political Economy, University of Chicago Press, vol. 123(1), pages 1-65.
    4. Eric M. Leeper, 2015. "Fiscal Analysis is Darned Hard," Caepr Working Papers 2015-021 Classification-E, Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington.
    5. Satyajit Chatterjee & Burcu Eyigungor, 2015. "A Quantitative Analysis of the US Housing and Mortgage Markets and the Foreclosure Crisis," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(2), pages 165-184, April.
    6. Mark Wright & Alexander Karaivanov, 2009. "Distinguishing Across Models of International Capital Flows," 2009 Meeting Papers 124, Society for Economic Dynamics.
    7. Davis, Andrew & Kim, Jiseob, 2017. "Explaining changes in the US credit card market: Lenders are using more information," Economic Modelling, Elsevier, vol. 61(C), pages 76-92.
    8. Kaplan, Greg & Mitman, Kurt & Violante, Giovanni L., 2017. "The Housing Boom and Bust: Model Meets Evidence," CEPR Discussion Papers 12215, C.E.P.R. Discussion Papers.
    9. Jonathan Halket & Santhanagopalan Vasudev, 2014. "Saving Up or Settling Down: Home Ownership over the Life Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(2), pages 345-366, April.
    10. Silvo, Aino, 2017. "House prices, lending standards, and the macroeconomy," Research Discussion Papers 4/2017, Bank of Finland.

    More about this item

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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