1996
DOI: 10.1016/0378-4266(95)00010-0
|View full text |Cite
|
Sign up to set email alerts
|

The monitoring rationale for dividends and the interaction of capital structure and dividend decisions

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

2
23
0
8

Year Published

2001
2001
2021
2021

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 68 publications
(35 citation statements)
references
References 19 publications
2
23
0
8
Order By: Relevance
“…Non-debt tax shield (NDT): the tax saving interest of the debt would be balanced by non-debt tax shield. Therefore, non-debt tax shield and the leverage were negative correlated (DeAngelo and Masulis, 1980;Doukas and Pantzails, 2003;Noronha, 1996;Ozkan, 2001). Ratio of depreciation and amortization expenses to total sales was used for measurement.…”
Section: Measure Variablesmentioning
confidence: 99%
“…Non-debt tax shield (NDT): the tax saving interest of the debt would be balanced by non-debt tax shield. Therefore, non-debt tax shield and the leverage were negative correlated (DeAngelo and Masulis, 1980;Doukas and Pantzails, 2003;Noronha, 1996;Ozkan, 2001). Ratio of depreciation and amortization expenses to total sales was used for measurement.…”
Section: Measure Variablesmentioning
confidence: 99%
“…13 Lang and Litzenberger (1989) chose the debt in book value when the market value was not available. 14 This measurement was chosen by Nijoukou (1994), Noronha et al (1996).…”
Section: Ownership Variablesmentioning
confidence: 99%
“…Much of the established literature attempts to estimate an agency cost function which characterizes the impact dividend policies and insider ownership on the firm's debt position (Jensen & Meckling, 1976;Ross, 1977;Kalay, 1982;Myers & Majluf, 1984;Jensen, 1986;Morck, Shleifer, & Vishny, 1988). The majority of these studies account for the simultaneity bias that exists between debt, dividends, and ownershipusing two-stage least squares if estimating a single agency cost equation (Bathala, Moon, & Rao, 1994;Chen & Steiner, 1999) or some combination of three-stage least squares (Jensen, Solberg, & Zorn, 1992;Noronha, Shome, & Morgan, 1996;Kim, Rhim, & Friesner, 2007) orfull information maximum likelihood or generalized method of moments (Pindado & de la Torre, 2006)if estimating a system of equations. In some cases, for example Crutchley et al(1999) and Chen and Steiner (1999), an attempt is made to explicitly specify a nonlinear agency cost function.…”
mentioning
confidence: 99%