User:Emarsh375/Unemployment in the United States/RBondy Peer Review

General info

 * Whose work are you reviewing?

EMarsh375


 * Link to draft you're reviewing
 * User:Emarsh375/Unemployment in the United States


 * Link to the current version of the article (if it exists)
 * Unemployment in the United States

Evaluate the drafted changes
(Compose a detailed peer review here, considering each of the key aspects listed above if it is relevant. Consider the guiding questions, and check out the examples of what feedback looks like.)

'Hi Emily! Great job. I still can't believe the Gender section didn't even mention women, so your additions will really help!'

Lead

It would be great if you could add a summarizing sentence to the lead "Demographics and Employment Trends" section.

Content/ Tone and Balance:

Content is neutral, concise, and well-written. You are definitely filling an equity gap, especially once you get those stats on women in the section. To improve farther, I'd add in race, class/education level to your analysis - making sure to include this in the women and men unemployment section as well as the COVID section. I did a quick search and found some intersectional studies on COVID job loss and race, gender, etc. (listed in the sources section below). You can also mention how women work predominantly in care work and low-paying job sectors that were disproportionately impacted by COVID shutdowns. In addition, for the COVID section, I think it would be better if the bullets were turned into a paragraph or two. It would then match the current format, and I think the information would be easier to digest / easier to link it all together.

Sources and References

As I mentioned above, I think you can add some intersectional sources and studies to improve your additions. Google Scholar seemed to have relevant sources. I'd suggest adding more studies / journal articles.

Some source ideas / inspiration:

- An Intersectional Analysis of COVID-19 Unemployment: https://link.springer.com/article/10.1007/s41996-020-00075-w?fbclid=IwAR0gqJlkDRQo1CnDzTBOuw8VU-2jC-CNUPxMAkY8rZpVhYGnQqSae2Q4IcA

- Disparate Disruptions: Intersectional COVID-19 Employment Effects by Age, Gender, Education, and Race/Ethnicity: https://academic.oup.com/workar/article/6/4/207/5904758

- Georgetown University: Tracking COVID-19 Unemployment and Job Losses: https://cew.georgetown.edu/cew-reports/jobtracker/