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Table 3 Hourly labor earnings and the occupation-field of study mismatch by gender

From: Measuring the mismatch between field of study and occupation using a task-based approach

 

Male

Female

(1)

(2)

(3)

(4)

(5)

(6)

Mismatch

− 0.305 [7.91]***

− 0.048 [0.98]

 

− 0.337 [9.11]***

− 0.103 [2.54]**

 

Weak match

0.032 [0.62]

0.119 [2.12]**

 

− 0.12 [2.64]***

− 0.075 [1.57]

 

Distance

 

− 0.54 [10.34]***

− 0.606 [12.50]***

 

− 0.485 [10.36]***

− 0.588 [12.91]***

Age

0.08 [30.00]***

0.078 [30.33]***

0.078 [30.30]***

0.053 [13.20]***

0.051 [12.81]***

0.05 [12.38]***

Age squared

− 0.001 [25.20]***

− 0.001 [25.38]***

− 0.001 [25.01]***

− 0.001 [9.23]***

− 0.001 [8.80]***

− 0.001 [8.37]***

Female

      

Black

− 0.226 [33.62]***

− 0.215 [34.37]***

− 0.215 [34.04]***

− 0.202 [15.25]***

− 0.195 [15.32]***

− 0.195 [15.92]***

Constant

2.152 [35.41]***

2.21 [35.66]***

2.231 [38.36]***

2.535 [33.38]***

2.577 [33.98]***

2.536 [36.28]***

Observations

246,588

246,588

246,588

307,851

307,851

307,851

  1. The dependent variable is the logarithm of the hourly labor earnings. All regressions include regional dummies and dummies for fields of study. Regressions are estimated by OLS and robust
  2. t-Statistics are in brackets
  3. Standard errors are clustered at the occupation-field of study level
  4. *, **, ***—indicate significance on the 10%, 5% and 1% level respectively