结合统计和基于规则的专家知识来衡量就业不稳定性

Penelope Stamou, Elena Stringli, Glykeria Stamatopoulou, Dimitrios Parsanoglou, M. Symeonaki
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引用次数: 1

摘要

-在欧洲,衡量不稳定性和确定一套可用于评估不稳定性的指标已被确定为一个关键问题,是整个劳工统计、社会政策和工作社会学学科的核心。最近的大多数研究都同意工人应该被视为不稳定的基本特征:不安全、脆弱、没有或有限的权利。本文提供了一种创新的方法,将与不稳定性或多或少相关的九个关键指标的统计分析与基于规则的专家系统相结合,以评估每个工人的不稳定性。希腊的原始数据来自欧盟劳动力调查(EU-LFS)。但是,所建议的方法可以在对其余34个参加欧盟-最低限额制度的国家稍加修改后适用,因为对所有国家都使用了一份共同的调查表。估计的指标涉及与不稳定性相关的三个领域:劳动力市场条件和工作不安全、有限的权利和资源不足。估计了每个工人的不稳定分数后,确定了不稳定工人的社会人口特征,提取了他们的个人资料中有价值的知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combining Statistical and Rule-Based Expert Knowledge to Measure Employment Precarity
- The measurement of precarity and the identification of a set of indicators that can be used for its assessment has been established as a key issue in Europe, central to the entire discipline of labour statistics, social policy, and sociology of work. Most recent studies agree upon the basic characteristics that a worker should have to be considered as precarious: insecurity, vulnerability, and no or limited entitlements. The present paper offers an innovative method that combines statistical analysis regarding the measurement of nine key indicators that are linked with precarity to a lesser or greater extend, with a rule-based expert system to rate each worker’s precarity. Raw data are drawn from the EU-Labour Force Survey (EU-LFS) for the case of Greece. However, the suggested method can be applied with minor modifications to the remainder thirty-four participating in the EU-LFS countries since a common questionnaire is used for all countries. The estimated indicators refer to three domains that are linked with precarity: labour market conditions and job insecurity, limited entitlements, and insufficient resources. Having estimated a precarious score for each worker, the socio-demographic characteristics of precarious workers are identified, extracting valuable knowledge on their profile.
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