IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-91231-4_103.html
   My bibliography  Save this book chapter

Alternative Errors-in-Variables Models and Their Applications in Finance Research

In: Encyclopedia of Finance

Author

Listed:
  • Hong-Yi Chen

    (National Chengchi University)

  • Alice C. Lee

    (Center for PBBEF Research)

  • Cheng-Few Lee

    (Rutgers University)

Abstract

Specification error and measurement error are two major issues in finance research. The main purpose of this chapter is (i) to review and extend existing errors-in-variables (EIV) estimation methods, including classical method, grouping method, instrumental variable method, mathematical programming method, maximum likelihood method, LISREL method, and the Bayesian approach; (ii) to investigate how EIV estimation methods have been used to finance related studies, such as cost of capital, capital structure, investment equation, and test capital asset pricing models; and (iii) to give a more detailed explanation of the methods used by Almeida et al. (Review of Financial Studies, 23, 3279–3328, 2010).

Suggested Citation

  • Hong-Yi Chen & Alice C. Lee & Cheng-Few Lee, 2022. "Alternative Errors-in-Variables Models and Their Applications in Finance Research," Springer Books, in: Cheng-Few Lee & Alice C. Lee (ed.), Encyclopedia of Finance, edition 0, chapter 100, pages 2369-2408, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-91231-4_103
    DOI: 10.1007/978-3-030-91231-4_103
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    Measurement error; Errors-in-variables; Cost of capital; Capital structure; Investment equation; Capital asset pricing model;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    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:spr:sprchp:978-3-030-91231-4_103. 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.