| 来源类型 | Discussion paper
|
| 规范类型 | 论文
|
| 来源ID | DP16761
|
| DP16761 The Gender Gap at the Top: How Network Size and Composition Impact CEO Pay |
| José Tavares; Sharmin Sazedj
|
| 发表日期 | 2021-11-29
|
| 出版年 | 2021
|
| 语种 | 英语
|
| 摘要 | This paper advances the literature on the gender pay gap amongst top managers, by
explicitly assessing the relevance of professional networks. We use data on the universe of
firms in Portugal, where female top managers earn 25% less than their male counterparts,
conditional on age, education and firm tenure. We estimate that 20% of the above femalemale earnings difference is due to differences in networks across gender. Making use
of Gelbach’s decomposition, we find that the network effect can be ascribed to firm
sorting, i.e. well-connected managers tend to be associated to higher paying firms. By
focusing on episodes of transitions between firms, and relying on a propensity score
matching procedure, we estimate that around 90% of the gender pay gap emerges
during the hiring process, and is only slightly aggravated thereafter, due to biased career
progression. Roughly one third of the gender gap can be attributed to firm sorting, two
thirds of which to differences in networks. We then examine the gender composition
of female and male CEOs’ networks. While we find no evidence that females benefit
differently from network size, we do find evidence that male connections are more
valuable. If, however, we proxy for the inner circle of a manager, taking into account
the proximity of connections, we conclude that same gender connections gain relevance.
These results suggest that connections between females do play an important role in the
existing corporate framework where males are over-represented. We conclude that policies
furthering female representation in leadership positions can have positive spillover effect
for other women. |
| 主题 | Organizational Economics
|
| 关键词 | Gender gap
Networks
Ceo compensation
Firm sorting
|
| URL | https://cepr.org/publications/dp16761
|
| 来源智库 | Centre for Economic Policy Research (United Kingdom)
|
| 资源类型 | 智库出版物
|
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/545695
|
推荐引用方式
GB/T 7714 |
José Tavares,Sharmin Sazedj. DP16761 The Gender Gap at the Top: How Network Size and Composition Impact CEO Pay. 2021.
|
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