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Erschienen in: Review of Quantitative Finance and Accounting 2/2020

09.11.2019 | Original Research

Are all outside directors created equal with respect to firm disclosure policy?

verfasst von: Luminita Enache, Antonio Parbonetti, Anup Srivastava

Erschienen in: Review of Quantitative Finance and Accounting | Ausgabe 2/2020

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Abstract

Empirical evidence on the association between outside directors and firms’ voluntary disclosures is mixed and controversial. We hypothesize that the outside directors do not represent a homogeneous group of people as considered in the literature. Using hand-collected data from a sample of biotechnology firms, we find that the aforesaid association differs based on the directors’ professional backgrounds. Our results are consistent with two ideas. First, an outside director’s influence on firm disclosure policy is shaped by her professional background. Second, firms match outside directors’ professional backgrounds with their disclosure policy. We cannot distinguish between the two explanations. Yet, we make an important contribution to the literature. We show that the impact and the selection prospects of outside directors are not as uniform as previously considered in the literature. Thus, the researchers examining financial disclosures must take into account the background characteristics of all outside directors, not just of those in the audit committee. And investor bodies must consider the background characteristics of candidates in their recommendation for outside-director selection.

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Fußnoten
1
See Jensen and Meckling (1976), Fama (1980), Williamson (1981), and Lambert (2001).
 
2
Prior studies find both negative and positive association between the proportion of outside directors and voluntary disclosures (Forker 1992; Adams and Hossain 1998; Eng and Mak 2003; Gul and Leung 2004; Cheng and Courtenay 2006; Barako et al. 2006; Leung and Horwitz 2004; Cerbioni and Parbonetti 2007; Li et al. 2008).
 
3
This product classification is consistent with the US Food and Drug Administration (FDA) classification. A successful drug goes through three phases of clinical trials (on humans), after the efficacy of the compound is assessed in the preclinical stage. The probability of a chemical compound making it through from discovery to final commercialization is assessed at about one in five thousand (Healy et al. 2002).
 
4
Larcker and Rusticus (2010, p. 187) assert: "When the instrument is only weakly correlated with the regressor, IV methods can produce highly biased estimates when the instrumental variable is even slightly endogenous. In those cases, it is likely that IV estimates are more biased and more likely to provide the wrong statistical inference than simple OLS estimates that make no correction for endogeneity".
 
5
See Guo et al. (2004; biotechnology firms), Rajgopal and Shevlin (2002; oil and gas sector), and Srivastava (2014; software industry).
 
6
For a complete review of literature on financial reporting environment, see Beyer et al. (2010).
 
7
Liu et al. (2019a), DeBoskey et al. (2019), Huang et al. (2016), Lu and Boateng (2018), Ting-Kai and Hsuan-Ling (2018), Jaggi et al. (2018), Mitra et al. (2019), Liu et al. (2019b), Tosun et al. (2019), Lu and Boateng (2018), Belghitar et al. (2016), Cao et al. (2018), Faleye et al. (2018), Boateng et al. (2017), Wang et al. (2017), Lai and Tam (2017), Chan et al. (2017), Sokolyk (2015), Yu et al. (2015), Cao et al. (2015), Ge and Kim (2014), Wang (2012), Leung and Horwitz (2010), Cheng et al. (2008), Fich and Slezak (2008).
 
8
We find similar results after controlling for discretionary accruals (Jones 1991; Kothari et al. 2005).
 
9
We admit that these p values are smaller than the conventional cut offs of 0.10. However, ours is a small sample study that uses firm-fixed effects in addition to multiple control variables.
 
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Metadaten
Titel
Are all outside directors created equal with respect to firm disclosure policy?
verfasst von
Luminita Enache
Antonio Parbonetti
Anup Srivastava
Publikationsdatum
09.11.2019
Verlag
Springer US
Erschienen in
Review of Quantitative Finance and Accounting / Ausgabe 2/2020
Print ISSN: 0924-865X
Elektronische ISSN: 1573-7179
DOI
https://doi.org/10.1007/s11156-019-00852-1

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