IDEAS home Printed from
   My bibliography  Save this article

An econometric analysis of dividends and share repurchases by US firms


  • Alok Bhargava


The paper analyses longitudinal Compustat data on dividend payments and share repurchases of over 2000 US industrial firms by using 2-yearly averages for the period 1992-2007. First, dynamic auto-regressive models for dividends and share repurchases were estimated by maximum likelihood to yield consistent and efficient estimates. Second, because firms pay dividends at different rates, comprehensive dynamic and static random-effects models for dividends were estimated. Third, models were estimated for share repurchases and the interrelationships between dividends and repurchases were investigated, tackling endogeneity issues. The results showed that dividend decisions are likely to precede those regarding share repurchases, and higher dividend payments decreased the magnitudes of repurchases; the effects of repurchases on dividends were generally insignificant. Copyright (c) 2010 Royal Statistical Society.

Suggested Citation

  • Alok Bhargava, 2010. "An econometric analysis of dividends and share repurchases by US firms," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(3), pages 631-656.
  • Handle: RePEc:bla:jorssa:v:173:y:2010:i:3:p:631-656

    Download full text from publisher

    File URL:
    File Function: link to full text
    Download Restriction: Access to full text is restricted to subscribers.

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


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

    Cited by:

    1. Black, Bernard & de Carvalho, Antonio Gledson & Khanna, Vikramaditya & Kim, Woochan & Yurtoglu, Burcin, 2014. "Methods for multicountry studies of corporate governance: Evidence from the BRIKT countries," Journal of Econometrics, Elsevier, vol. 183(2), pages 230-240.
    2. von Eije, Henk & Goyal, Abhinav & Muckley, Cal B., 2014. "Does the information content of payout initiations and omissions influence firm risks?," Journal of Econometrics, Elsevier, vol. 183(2), pages 222-229.
    3. Onali, Enrico & Ginesti, Gianluca, 2015. "Sins of Omission in Value Relevance Empirical Studies," MPRA Paper 64265, University Library of Munich, Germany.
    4. Bhargava, Alok, 2014. "Firms’ fundamentals, macroeconomic variables and quarterly stock prices in the US," Journal of Econometrics, Elsevier, vol. 183(2), pages 241-250.

    More about this item


    Access and download statistics


    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:bla:jorssa:v:173:y:2010:i:3:p:631-656. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.