新技术与新兴职业

Sameer Khatiwada, M. Veloso
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引用次数: 4

摘要

本文通过比较各种职业分类,并预测在给定工人的条件下获得这些职业的概率,来调查新职业的出现™ 特性。对印度、马来西亚、菲律宾和越南的国家职业分类连续列表进行系统比较后发现,大多数新职位主要是专业和副专业职类内的信息和通信技术及数据相关职位。在利用印度和越南的微观数据时,发现新兴职业,即具有新职称的职业群体,比没有合并职业的职业支付更高的工资。此外,当使用logit模型预测进入新兴职业的机会时,考虑到工人™ 特征,对于男性、受过高等教育、城市化和在服务业就业的工人来说,成功的概率更大。按教育和行业调整后的预测显示,受过高等教育的服务业工人获得新兴职业的机会最高,不同年龄组的成功几率差异很大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New Technology and Emerging Occupations
This paper investigates the emergence of new occupations by comparing various classifications of occupations and predicting probabilities to access them given workers’ characteristics. Systematic comparisons of successive lists of National Classification of Occupations in India, Malaysia, the Philippines, and Viet Nam find that most new job titles are primarily information and communication technology- and data-related positions within professional and associate professional occupational divisions. When utilizing microdata of India and Viet Nam, it was found that the emerging occupations, defined as occupation groups with new job titles, pay higher wages than none merging occupations. Further, when using logit models to predict chances of accessing emerging occupations given workers’ characteristics, the probability of success is greater for workers who are male, tertiary educated, urbanized, and employed in the service sectors. Adjusted predictions by education and sector show that access to emerging occupations is highest among tertiary-educated workers in services, and that chances of success vary greatly across different age groups.
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