Statistical Time to Event Analysis in the Social Sciences: Modeling Hazard Rate and Duration in Finance

IF 2 3区 心理学 Q2 PSYCHOLOGY, MATHEMATICAL
V. Núñez-Antón, J. Orbe
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引用次数: 3

Abstract

Abstract. The relevance of statistical time to event analysis in the social sciences has proved to be of great importance in the last few years, especially in applications related to labor-market analysis, employment and/or unemployment issues, duration of strikes, and survival of new firms, and in financial applications related to the time a company spends in a given status, for example, bankruptcy. We review some of the techniques that have proved to be adequate for analyzing this type of data and the conditions they require for their proper use. In addition, we extend these techniques in order to be able to analyze specific and more complex situations by using a more general and flexible model. All of these techniques and their extensions are illustrated with an example that studies the duration of firms under bankruptcy in the United States.
社会科学中的统计事件时间分析:金融中风险率和持续时间的建模
摘要在过去几年中,社会科学中统计时间与事件分析的相关性已被证明是非常重要的,特别是在与劳动力市场分析、就业和/或失业问题、罢工持续时间和新公司生存相关的应用中,以及与公司在给定状态下花费的时间相关的金融应用中,例如,破产。我们回顾了一些已被证明足以分析这类数据的技术,以及正确使用这些数据所需的条件。此外,我们扩展了这些技术,以便能够通过使用更通用和灵活的模型来分析特定的和更复杂的情况。所有这些技术及其扩展都通过一个研究美国公司破产持续时间的例子加以说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.70
自引率
6.50%
发文量
16
审稿时长
36 weeks
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