IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-91231-4_70.html
   My bibliography  Save this book chapter

Current Versus Permanent Earnings for Estimating Alternative Dividend Payment Behavioral Model: Theory, Methods and Applications

In: Encyclopedia of Finance

Author

Listed:
  • Cheng-Few Lee

    (Rutgers University)

  • Hong-Yi Chen

    (Department of Finance, National Chengchi University)

  • Alice C. Lee

    (Center for PBBEF Research)

  • Yuhsin Tai

    (Rutgers, The State University of New Jersey)

Abstract

The main purposes of this chapter are to: (1) theoretically explain why firms generally allocate permanent earnings and transitory earnings between dividends payments and retained earnings; (2) develop alternative methods for decomposing current earnings into permanent and transitory components; (3) empirically estimate alternative dividend payment behavior models by using two alternative permanent EPS estimates for both individual firms and pooled data; and (4) test Lambrecht and Myer’s (2012) theoretically results related to alternative dividend payment behavior models. We find that the average long-term payout ratio is downward biased and the average estimated intercept is generally upward biased when current instead of permanent EPS are used. We also find that the combined model performs well to deal with both measurement errors and specification errors in describing the dividend payment behavior model.

Suggested Citation

  • Cheng-Few Lee & Hong-Yi Chen & Alice C. Lee & Yuhsin Tai, 2022. "Current Versus Permanent Earnings for Estimating Alternative Dividend Payment Behavioral Model: Theory, Methods and Applications," Springer Books, in: Cheng-Few Lee & Alice C. Lee (ed.), Encyclopedia of Finance, edition 0, chapter 70, pages 1599-1640, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-91231-4_70
    DOI: 10.1007/978-3-030-91231-4_70
    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.

    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_70. 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.