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. Author manuscript; available in PMC: 2023 Jul 1.
Published in final edited form as: J Labor Econ. 2022 May 20;40(3):613–667. doi: 10.1086/717730

Appendix Table B3A:

Refinements to the Coding of Experience, Women, Effects on Discrimination Against Older Applicants

Middle-Admin Middle-Sales Old-Admin Old-Sales
(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Experience CS Score −0.000 −0.001 −0.002 0.005 0.011 0.013 0.002 0.004 0.004 0.000 0.006 0.007
(0.005) (0.005) (0.005) (0.015) (0.015) (0.016) (0.005) (0.005) (0.005) (0.009) (0.010) (0.010)
No Experience Needed −0.002 −0.002 −0.041 −0.043 −0.029 −0.029 −0.032 −0.033
(0.015) (0.015) (0.038) (0.038) (0.017) (0.017) (0.025) (0.025)
Experience CS Score × No Experience Needed 0.017 0.017 −0.015 −0.014 0.020 0.020 0.006 0.007
(0.015) (0.015) (0.030) (0.030) (0.015) (0.015) (0.027) (0.027)
1–2 Years Experience 0.053 −0.051 0.006 −0.032
(0.039) (0.059) (0.033) (0.056)
Experience CS Score × 1–2 Years Experience −0.003 0.014 −0.012 −0.038
(0.024) (0.065) (0.022) (0.039)

N 6822 6822 6822 986 986 986 7321 7321 7321 1856 1856 1856

Note: Table reports estimated marginal effects. For each age-occupation group, the first column estimates equation (10), but reports only the coefficient for the 95th percentile of Experience. In the second column, we include a dummy the ad indicating no experience was needed and an interaction between the no experience needed dummy and the Experience CS score. In the third columns, we add a dummy for only requiring one to two years of experience and the interaction between the low experience dummy and the Experience CS score (equation (10)). Standard errors are clustered at the job ad level.

*

indicates that the estimate is statistically significant at the 5% level.

**

indicates that the estimate is statistically significant at the 1% level.