Table 2 Training disruption by firms’ motivation to train

To retain our employees

−0.058

(0.076)

0.042

(0.395)

0.006

(0.101)

To replace retiring skilled workers

−0.037

(0.049)

−0.037

(0.082)

−0.125*

(0.070)

To save on recruitment costs

0.036

(0.047)

0.008

(0.051)

0.003

(0.065)

To screen new hires (a ”try before you buy” approach)

0.129***

(0.050)

0.140**

(0.055)

0.148**

(0.071)

To help us shift from degree-based hiring to skills-based hiring

0.189***

(0.049)

0.218***

(0.054)

0.210***

(0.070)

To build a diverse workforce

0.016

(0.055)

−0.059

(0.061)

0.062

(0.424)

To help us hire/retain local talent

−0.111

(0.085)

‒ 0.001

(0.092)

−0.200*

(0.114)

Because it’s the best way to get workers with the right skills

− 0.017

(0.066)

− 0.064

(0.074)

− 0.031

(0.092)

Because school/college/university graduates do not meet our needs

− 0.053

(0.047)

− 0.031

(0.053)

− 0.009

(0.067)

Type: On-the-job training

‒ 0.209

(0.166)

‒ 0.199

(0.207)

Type: Professional development

0.095

(0.192)

0.166

(0.243)

Type: Internship

0.439**

(0.196)

0.569**

(0.246)

Program includes youth

‒ 0.248*

(0.140)

‒ 0.309*

(0.087)

Program gender/race different from firm

0.162

(0.209)

0.218

(0.272)

Covid: Stringency

‒ 0.021

(0.056)

Covid: Impact to date

0.079

(0.098)

Covid: Expected future impact

0.330***

(0.056)

Firm-level controls

No

Yes

Yes

Model

Logit

Logit

Logit

Observations

1,340

1,177

808