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Bayesian analysis of the dividend behaviour

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  • Ho-Chuan River Huang

Abstract

In contrast to conventional setup, a type 2 Tobit model is proposed to characterize the dividend behaviour. In the model, the selection regression determines whether a company would pay dividends whereas the output regression decides how much dividend a company will pay given that the company has decided to pay dividends. This modelling allows for the possibility that these two decisions might be affected by different variables and a given variable might influence each of the two decisions differently. Estimation is carried out via the Gibbs sampler with data augmentation algorithm which has been shown to be conceptually easy as well as computationally feasible and provides exact small sample properties.

Suggested Citation

  • Ho-Chuan River Huang, 2001. "Bayesian analysis of the dividend behaviour," Applied Financial Economics, Taylor & Francis Journals, vol. 11(3), pages 333-339.
  • Handle: RePEc:taf:apfiec:v:11:y:2001:i:3:p:333-339
    DOI: 10.1080/096031001300138735
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    Cited by:

    1. Al-Malkawi, Husam-Aldin Nizar & Bhatti, M. Ishaq & Magableh, Sohail I., 2014. "On the dividend smoothing, signaling and the global financial crisis," Economic Modelling, Elsevier, vol. 42(C), pages 159-165.
    2. repec:eee:ecmode:v:64:y:2017:i:c:p:502-512 is not listed on IDEAS
    3. Lee, King Fuei, 2010. "Retail minority shareholders and corporate reputation as determinant of dividend policy in Australia," Pacific-Basin Finance Journal, Elsevier, vol. 18(4), pages 351-368, September.
    4. Khamis Hamed Al-Yahyaee & Toan Pham & Terry Walter, 2010. "Dividend stability in a unique environment," Managerial Finance, Emerald Group Publishing, vol. 36(10), pages 903-916, August.
    5. Xuan Minh Nguyen & Quoc Trung Tran, 2016. "Dividend Smoothing and Signaling Under the Impact of the Global Financial Crisis: A Comparison of US and Southeast Asian Markets," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(11), pages 118-123, November.

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