COVID-19

How to strengthen gender measures and data in the COVID-19 era

The data is abundantly clear on one point: the COVID-19 pandemic has had a disproportionately negative impact on women. Because more women work in the tourism, retail, and informal sectors, which have been hardest hit by the pandemic, their livelihoods have been upended. Understanding the extent of this impact is the first step in reversing course. Yet the pandemic has also exposed and exacerbated data gaps that undermine our ability to act intentionally and craft effective policy responses.

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COVID-19 is driving up food prices all over the world

The COVID-19 pandemic, along with the associated lockdowns, mobility restrictions and physical distancing rules, has not only led to a significant increase in unemployment and considerable income losses for many people, but has also altered the spending patterns of consumers and the level of price inflation that they face. In particular, the lockdown measures have affected the supply of and demand for certain products and, hence, their prices.

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Fallout of COVID-19: Working moms are being squeezed out of the labour force

A workable balance is what parents are desperately trying to find in these uncertain times. Even in “normal” times, the balance between work and family has not been an easy one to achieve. The challenge is not new, especially for women. But the pandemic is shining a stadium size light to the problem, can it also shine light on the solution?

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Lessons from the COVID-19 pandemic: Gender relevance of the 19th ICLS statistical standards

This brief gives a summary overview of the impact of the introduction of the 19th ICLS statistical standards on labour statistics, as compared with the previous standards from the 13th ICLS. The key gender differences between the frameworks are illustrated using data collected from pilot studies completed between 2015 and 2017.

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Defining and measuring remote work, telework, work at home and home-based work

Working from a distance and working at home are not new phenomena but the relevance of their measurement has increased, not least due to the Covid-19 pandemic. This notes provide guidance to data producers on how the four different concepts of remote work, telework, work at home and home-based work should be statistically understood, how they relate to each other, and how they can be measured through a household survey.

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