Silent Suffering: Using Machine Learning to Measure CEO Depression

IF 4.9 2区管理学 Q1 BUSINESS, FINANCE

Journal of Accounting Research Pub Date : 2025-01-08 DOI:10.1111/1475-679x.12590

SUNG-YUAN (MARK) CHENG, NARGESS M. GOLSHAN

引用次数: 0

Abstract

We introduce a novel measure of CEO depression by applying machine learning models that analyze vocal acoustic features from CEOs' conference call recordings. Our research was preregistered via the Journal of Accounting Research's registration-based editorial process. In this study, we validate this measure and examine associated factors. We find that greater firm risk is positively associated with CEO depression, whereas higher job demands are negatively associated with CEO depression. Female and older CEOs show a lower likelihood of depression. Using this novel measure, we then explore the relationship between CEO depression and career outcomes. Although we do not find any evidence that CEO depression is associated with CEO turnover, we find some evidence that turnover-performance sensitivity is higher among depressed CEOs. We also find limited evidence of higher compensation and higher pay-performance sensitivity for depressed CEOs. This study provides new insights into the relationship between CEO mental health and career outcomes.

查看原文本刊更多论文

无声的痛苦：用机器学习来衡量CEO的抑郁

我们通过应用机器学习模型来分析CEO电话会议录音的声音特征，引入了一种新的CEO抑郁测量方法。我们的研究是通过《会计研究杂志》的基于注册的编辑过程预先注册的。在本研究中，我们验证了这一措施，并检查了相关因素。研究发现，较高的企业风险与CEO抑郁呈正相关，而较高的工作要求与CEO抑郁呈负相关。女性和年长的ceo患抑郁症的可能性较低。利用这一新颖的测量方法，我们探讨了CEO抑郁与职业成果之间的关系。虽然我们没有发现任何证据表明CEO抑郁与CEO离职有关，但我们发现一些证据表明，抑郁的CEO的离职-绩效敏感性更高。我们也发现有限的证据表明，抑郁的ceo薪酬更高，薪酬绩效敏感度更高。本研究为CEO心理健康与职业发展之间的关系提供了新的视角。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Accounting Research BUSINESS, FINANCE-

CiteScore

7.80

自引率

6.80%

发文量

期刊介绍： The Journal of Accounting Research is a general-interest accounting journal. It publishes original research in all areas of accounting and related fields that utilizes tools from basic disciplines such as economics, statistics, psychology, and sociology. This research typically uses analytical, empirical archival, experimental, and field study methods and addresses economic questions, external and internal, in accounting, auditing, disclosure, financial reporting, taxation, and information as well as related fields such as corporate finance, investments, capital markets, law, contracting, and information economics.