Sara Grubanov-Boskovic, Spyridon Spyratos, Stefano Maria Iacus, Umberto Minora, Francesco Sermi
arXiv 4 Nov 2021 · cs.SI · publishedJournal of Data Science (2022) · 3 citations (OpenAlex)
arXiv:2111.09442 · PDF · DOI · OpenAlex · Extracted main text
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.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | ISTAT (2019) Istruzione, lavoro e spostamenti per studio o lavoro | 0.928 | 4 | 3 | 100% |
| 2 | Rubery, J. and Tavora, I (2020) The covid-19 crisis and gender equality: risks and opportunities | 0.737 | 3 | 2 | 100% |
| 3 | Farré, L., Fawaz, Y., Gonzalez, L., and Graves, J (2020) How the COVID-19 Lockdown Affected Gender Inequality in Paid and Unpaid Work in Spain | 0.585 | 3 | 1 | 100% |
| 4 | Casarico, A. and Lattanzio, S (2020) The Heterogeneous Effects of COVID-19 on Labor Market Flows: Evidence from Administrative Data | 0.511 | 2 | 1 | 100% |
| 5 | Chung, H., Birkett, H., Forbes, S., and Seo, H (2021) Covid-19, flexible working, and implications for gender equality in the united kingdom | 0.511 | 2 | 1 | 100% |
| 6 | Dunatchik, A., Gerson, K., Glass, J., Jacobs, J. A., and Stritzel, H (2021) Gender, parenting, and the rise of remote work during the pandemic: Implications for domestic inequality in the united states | 0.511 | 2 | 1 | 100% |
| 7 | Milasi, S., González-Vázquez, I., and Fernández-Macías, E (2021) Telework before the COVID-19 pandemic: Trends and drivers of differences across the EU | 0.511 | 2 | 1 | 100% |
| 8 | Alon, T., Doepke, M., Olmstead-Rumsey, J., and Tertilt, M (2020) The Impact of COVID-19 on Gender Equality | 0.511 | 2 | 1 | 100% |
| 9 | OECD (2020) Productivity gains from teleworking in the post COVID-19 era: how can public policies make it happen? | 0.511 | 2 | 1 | 100% |
| 10 | Samek Lodovici, M., Ferrari, E., Paladino, E., Pesce, F., Frecassett… (2021) The impact of teleworking and digital work on workers and society | 0.511 | 2 | 1 | 100% |
Showing the top 10 of 37 scored citations.