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Table 2 Hourly labor earnings and the occupation-field of study mismatch

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

 

Sample

Total

Mismatched

Matched

(1)

(2)

(3)

(4)

(5)

Mismatch

− 0.318 [8.81]***

− 0.076 [1.84]*

   

Weak match

− 0.061 [1.25]

− 0.002 [0.03]

   

Distance

 

− 0.505 [11.23]***

− 0.592 [13.23]***

− 0.61 [19.07]***

− 0.124 [0.67]

Age

0.065 [19.22]***

0.063 [18.72]***

0.062 [18.52]***

0.063 [28.92]***

0.071 [9.84]***

Age squared

− 0.001 [14.69]***

− 0.001 [14.17]***

− 0.001 [13.89]***

− 0.001 [20.56]***

− 0.001 [7.73]***

Female

− 0.25 [16.52]***

− 0.256 [16.93]***

− 0.257 [16.37]***

− 0.254 [23.61]***

− 0.232 [6.60]***

Black

− 0.214 [24.10]***

− 0.205 [24.66]***

− 0.205 [24.84]***

− 0.211 [35.76]***

− 0.199 [11.75]***

Constant

2.492 [39.13]***

2.539 [39.33]***

2.532 [44.07]***

2.58 [45.69]***

2.351 [15.70]***

Observations

554,439

554,439

554,439

313,128

171,647

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