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. Author manuscript; available in PMC: 2020 May 1.
Published in final edited form as: J Law Econ. 2019 May;62(2):373–402. doi: 10.1086/704008

Table 4:

Probit Estimates for Callbacks by Age, Marginal Effects

Males Female
(1) (2) (3) (4)
Callback
estimates
Old (64–66) −0.064***
(0.006)
−0.067***
(0.006)
−0.081***
(0.007)
−0.083***
(0.007)
Controls
State, order,
unemployed,
skills
X X X X
Resume features X X
Callback rate for
young (29–31)
23.08% 25.51%
N 7,184 7,184

Notes: Marginal effects are reported, computed as the discrete change in the probability associated with the dummy variable, evaluating other variables at their means. For each city, the observations are weighted by the ratio of QWI Retail Employment, by sex, to the number of observations in the sample. Standard errors are clustered at the age-by-state level.

(***)

Significantly different from zero at 1-percent level,

(**)

5-percent level

(*)

or 10-percent level.

Resume features include: template; email script; email format; script subject, opening, body, and signature; and file name format. See notes to Table 3.