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Table 15 Robustness tests on unique variation explained by task measures: narrow definition of tasks

From: On the measurement of tasks: does expert data get it right?

Model: individual-level & expert-based task data

(1)

(2)

NRA (Ind.)

4.4%

6.9%

NRI (Ind.)

0.6%

1.8%

RC (Ind.)

2.2%

6.2%

RM (Ind.)

0.1%

0.0%

NRA (Exp.)

2.7%

 

NRI (Exp.)

0.5%

 

RC (Exp.)

0.9%

 

RM (Exp.)

0.3%

 

Total (Occ.)

4.4%

 

Total (Ind.)

7.3%

15.0%

Expert tasks (Occupational)

\(\checkmark\)

 

Occupation dummies

 

\(\checkmark\)

Observations

27,777

27,777

  1. The displayed values represent the unique variation in log wages associated with the task measure of interest, expressed relative to the R-squared of the full model. These specifications are based on a narrow definition of tasks. “NRA” represents Non-Routine Analytic Tasks, “NRI” reflects Non-Routine Interactive, “RC” is short for Routine Cognitive. Lastly, “RM” represents Routine Manual tasks. For brevity, this robustness exercise is restricted to a model comprising individual survey as well as expert data (column 1) and a model based on individual-level tasks and occupational FE (column 2). I use BIBB/BAuA data that has been collected in 2011–12 and 2017–18, and data from BERUFENET, covering the years 2011–13. For the BIBB/BAuA data, see Hall et al. (2020b) and (Hall et al. (2020a), respectively. For the BERUFENET data, see Dengler et al. (2014)