JRC Impact migrant workers COVID

Figure 6: Native-Migrant Gap in Temporary Contract Probability, by Occupation

Science and Engineering Professional Health Professionals Teaching Professionals ICT Professionals Science & Eng. Associate Professionals Health associate professionals ICT Technicians Personal Service Workers Personal Care Workers Market-oriented Skilled Agricultural Workers Food Processing, etc. Stationary Plant and Machine Operators Drivers and Mobile Plant Operators Cleaners and Helpers Labourers in Mining, Contruction, Manuf., & Transport Refuse Workers

-.2

-.1

0

.1

.2

Probability difference vs. natives Low Skill High Skill

(a) EU Mobile

Science and Engineering Professional Health Professionals Teaching Professionals ICT Professionals Science & Eng. Associate Professionals Health associate professionals ICT Technicians Personal Service Workers Personal Care Workers Market-oriented Skilled Agricultural Workers Food Processing, etc. Stationary Plant and Machine Operators Drivers and Mobile Plant Operators Cleaners and Helpers Labourers in Mining, Contruction, Manuf., & Transport Refuse Workers

-.1

0

.1

.2

.3

Probability difference vs. natives Low Skill High Skill

(b) Extra- EU

Note: Coefficients estimated with OLS regression in a model controlling for occupation, gender, educational level, age, country of residence and migration status. The thick blue bars represent the difference in the probability of being employed with a temporary contract between natives and migrants. The thin black bars represent the 95% confidence intervals. 11