Gender data bias contributes to the gender pay gap from "summary" of Invisible Women by Caroline Criado Perez
The gender data gap is a pervasive issue that affects many aspects of our lives, including the gender pay gap. When it comes to collecting data on salaries and wages, there is often a lack of gender disaggregation. This means that the data does not differentiate between men and women, making it difficult to accurately assess the extent of the gender pay gap. Without accurate data on how much men and women are earning, it is challenging to address the disparities that exist. Gender bias in data collection can lead to skewed results that perpetuate the gender pay gap. For example, if women's salaries are consistently underreported or not included in the data at all, it can create a false impression that the pay gap is not as significant as it actually is. Furthermore, the gender data gap extends beyond just salaries and wages. It also affects other factors that contribute to the gender pay gap, such as career progression and job opportunities. If women's experiences and achievements are not properly documented, it can hinder their chances of advancement and lead to lower pay overall. In order to address the gender pay gap, it is crucial to first acknowledge the impact of gender data bias. By collecting accurate and comprehensive data on salaries, promotions, and other relevant factors, we can gain a clearer understanding of the root causes of the gender pay gap. Only then can we implement effective policies and strategies to close this gap and achieve gender equality in the workplace.
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