IDEAS home Printed from https://ideas.repec.org/a/kap/jrefec/v61y2020i4d10.1007_s11146-019-09727-7.html
   My bibliography  Save this article

Correction to: Appraisal Accuracy and Automated Valuation Models in Rural Areas

Author

Listed:
  • Alexander N. Bogin

    (Federal Housing Finance Agency, Office of Policy Analysis & Research)

  • Jessica Shui

    (Federal Housing Finance Agency, Office of Policy Analysis & Research)

Abstract

The article Appraisal Accuracy and Automated Valuation Models in Rural Areas, written by Alexander N. Bogin and Jessica Shui, was originally published electronically on the publisher’s internet portal (currently SpringerLink) on August 2019 without open access.

Suggested Citation

  • Alexander N. Bogin & Jessica Shui, 2020. "Correction to: Appraisal Accuracy and Automated Valuation Models in Rural Areas," The Journal of Real Estate Finance and Economics, Springer, vol. 61(4), pages 730-731, November.
    • Handle: RePEc:kap:jrefec:v:61:y:2020:i:4:d:10.1007_s11146-019-09727-7
    DOI: 10.1007/s11146-019-09727-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11146-019-09727-7
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11146-019-09727-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mari O. Mamre & Dag Einar Sommervoll, 2024. "Coming of Age: Renovation Premiums in Housing Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 69(2), pages 307-342, August.
    2. Juergen Deppner & Marcelo Cajias, 2024. "Accounting for Spatial Autocorrelation in Algorithm-Driven Hedonic Models: A Spatial Cross-Validation Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 68(2), pages 235-273, February.
    3. Tien Foo Sing & Jesse Jingye Yang & Shi Ming Yu, 2022. "Boosted Tree Ensembles for Artificial Intelligence Based Automated Valuation Models (AI-AVM)," The Journal of Real Estate Finance and Economics, Springer, vol. 65(4), pages 649-674, November.
    4. Sebastian Gnat, 2021. "Property Mass Valuation on Small Markets," Land, MDPI, vol. 10(4), pages 1-14, April.

    More about this item

    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:kap:jrefec:v:61:y:2020:i:4:d:10.1007_s11146-019-09727-7. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.