Monitoring COVID-19-induced gender differences in teleworking rates using Mobile Network Data
利用移动网络数据监测疫情期间远程办公的性别差异AI 解读 ↓
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利用移动网络数据监测疫情期间远程办公的性别差异
- 研究问题
- 研究在及时官方统计不足时，能否利用移动网络运营商数据估计意大利各地区按年龄和性别划分的远程办公趋势。
- 方法与思路
- 作者使用移动网络数据与意大利季度劳动力调查开发并验证即时预测方法，覆盖二十个地区的年龄和性别分组。
- 材料陈述的贡献
- 摘要称，结果支持移动网络数据作为监测远程办公年龄和性别差异的工具，并讨论其为疫情恢复政策提供及时信息的用途。
- 阅读关注点
- 应核对手机活动如何映射为远程办公、运营商用户的代表性、调查校准方式，以及验证是否区分实时表现与事后拟合。
- 阅读边界
- 这是 arXiv 预印本，同行评审或期刊接收未经核实；摘要未提供预测误差，也未识别远程办公对女性效率或福利的因果效应。
原文摘要
The COVID-19 pandemic has created a sudden need for a wider uptake of home-based telework as means of sustaining the production. Generally, teleworking arrangements impacts directly worker's efficiency and motivation. The direction of this impact, however, depends on the balance between positive effects of teleworking (e.g. increased flexibility and autonomy) and its downsides (e.g. blurring boundaries between private and work life). Moreover, these effects of teleworking can be amplified in case of vulnerable groups of workers, such as women. The first step in understanding the implications of teleworking on women is to have timely information on the extent of teleworking by age and gender. In the absence of timely official statistics, in this paper we propose a method for nowcasting the teleworking trends by age and gender for 20 Italian regions using mobile network operators (MNO) data. The method is developed and validated using MNO data together with the Italian quarterly Labour Force Survey. Our results confirm that the MNO data have the potential to be used as a tool for monitoring gender and age differences in teleworking patterns. This tool becomes even more important today as it could support the adequate gender mainstreaming in the ``Next Generation EU'' recovery plan and help to manage related social impacts of COVID-19 through policymaking.