Disparate disruptions: Intersectional COVID-19 employment effects by age, gender, education, and race/ethnicity

Keyphrases

• All Ages 50%
• Asian Men 50%
• Being out 50%
• Black Men 50%
• College Degree 100%
• Conjoint 50%
• Course Effect 50%
• COVID-19 100%
• COVID-19 Pandemic 50%
• Current Population Survey 50%
• Educational Attainment 50%
• Employment Effects 100%
• Gender Education 100%
• Intersectional 100%
• Intersectional Analysis 50%
• Labor Force 100%
• Older Adults 100%
• Public Health 50%
• Race-ethnicity 100%
• Social Interaction 50%
• Survey Data 50%
• Unemployment 50%
• Unemployment Rate 50%
• Vulnerability 50%
• Working Longer 50%
• Young Women 50%

Social Sciences

• COVID 19 Epidemic 50%
• COVID-19 100%
• Document Analysis 50%
• Educational Attainment 50%
• Health Policy 50%
• Manpower 100%
• Older Adults 50%
• Social Interaction 50%
• Survey Analysis 50%
• Unemployment Rate 50%
• Young Adults 50%