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Table 4 Hourly labor earnings and mismatch by field of study

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

 

Equation (3)

Equation (4)

Estimated coefficient for the mismatch dummy

Estimated coefficient for the mismatch dummy

Estimated coefficient for the distance measure

(1)

(2)

(3)

Education

− 0.258 (6.25)***

0.028 (0.42)

− 0.590 (6.53)***

Humanities and arts

− 0.118 (1.15)

0.125 (1.13)

− 0.437 (7.07)***

Social sciences

− 0.211 (4.80)***

0.075 (1.08)

− 0.619 (6.47)***

Business

− 0.309 (5.96)***

− 0.049 (0.80)

− 0.572 (8.52)***

Law

− 0.272 (5.79)***

0.335 (1.70)*

− 0.921 (3.41)***

Science, mathematics and computing

− 0.430 (8.26)***

− 0.329 (4.02)***

− 0.367 (4.05)***

Engineering

− 0.266 (5.58)***

− 0.022 (0.42)

− 0.577 (11.52)***

Agriculture and veterinary

− 0.151 (3.62)***

0.087 (1.08)

− 0.551 (5.43)***

Health

− 0.520 (3.47)***

− 0.201 (1.96)**

− 0.623 (5.57)***

Services

− 0.249 (8.60)***

− 0.028 (0.63)

− 0.510 (6.49)***

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