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Foreclosure Discount, Homeowner Participation and The Effect of Biased Valuations

Author

Listed:
  • Gianluca Marcato
  • Are Oust
  • Endre Reite

Abstract

We study foreclosure discounts for all forced Norwegian house sales between December 2001 and February 2018. Micro-data from two Norwegian banks are further analyzed to shed light upon biased valuation methods. We estimate foreclosure discounts using an advanced statistical valuation model (AVM), repeated sales, and a real estate agent’s value estimate. We expand on earlier research by exploring how homeowner participation, centrality and the valuation method (human vs. automated valuation) adopted at origination are interlinked and contribute to the explanation of foreclosure discounts. Homeowners in rural areas are less likely to participate in foreclosure sales, and banks granting mortgages are less likely to employ AVM valuation. Our findings enrich research on biased valuations and link the bias in valuation methods with bias in banks’ valuation methods. Banks granting mortgages with a high loan-to-value ratio should exercise caution in rural areas while deviating from AVM valuation and calibrating their lending models considering risk differences.

Suggested Citation

  • Gianluca Marcato & Are Oust & Endre Reite, 2022. "Foreclosure Discount, Homeowner Participation and The Effect of Biased Valuations," ERES 2022_260, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:2022_260
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    More about this item

    Keywords

    Forclosures; Housing Finance; mortgages; Valuation Methods;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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