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. 2019 Dec 14;18(3):1351–1399. doi: 10.1093/jeea/jvz072

Table 6.

Polygenic score and standardized job tasks.

Dep var. Nonroutine Nonroutine Routine Routine Nonroutine
analytic interactive cognitive manual manual
(1) (2) (3) (4) (5)
Panel A:
EA Score 0.248*** 0.185*** Inline graphic0.080*** Inline graphic0.147*** Inline graphic0.021
(0.024) (0.022) (0.023) (0.022) (0.025)
Obs. 9948 9948 9948 9948 9948
R 2 0.104 0.068 0.028 0.052 0.032
Educ. Controls N N N N N
Panel B:
EA Score 0.073*** 0.055** 0.021 Inline graphic0.009 0.026
(0.023) (0.022) (0.023) (0.022) (0.026)
Obs. 9948 9948 9948 9948 9948
R 2 0.286 0.173 0.094 0.160 0.048
Educ. Controls Y Y Y Y Y

Notes: Regressions relating EA score to job tasks. In both panels, the dependent variable is job task intensity, as constructed by Autor, Levy, and Murnane (2003). We standardize each task measure by subtracting its mean and dividing by its standard deviation within our sample. All regressions include the first 10 principle components of the full matrix of genetic data, as well as a full set of dummies for birth year, calendar year and age. Specifications in panel B include controls for parental education (years of paternal and maternal education and dummies indicating missing values for each) and own education (years of schooling and a full set of completed degree dummies). In all columns the sample is restricted to men between the ages of 50 and 64. Standard errors are clustered at the person level. **, and ***indicate statistical significance at the 10, 5 and 1 percent levels, respectively.