Skip to main content

Table 3 Practical skills loss by firms’ motivation to train

From: Determinants and consequences of employer-provided training program resilience post-Covid-19

 

Loss of practical skills among trainees

 

(1)

(2)

(3)

To retain our employees

‒ 0.096**

(0.047)

‒ 0.054

(0.047)

0.011

(0.054)

To replace retiring skilled workers

‒ 0.004

(0.030)

0.035

(0.032)

‒ 0.006

(0.037)

To save on recruitment costs

‒ 0.006

(0.029)

‒ 0.033

(0.029)

‒ 0.014

(0.034)

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

‒ 0.027

(0.031)

‒ 0.019

(0.031)

‒ 0.015

(0.037)

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

0.115***

(0.031)

0.155***

(0.031)

0.102***

(0.037)

To build a diverse workforce

0.079*

(0.034)

‒ 0.016

(0.035)

0.033

(0.041)

To help us hire/retain local talent

‒ 0.026

(0.052)

0.048

(0.053)

‒ 0.090

(0.060)

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

‒ 0.075*

(0.041)

‒ 0.058

(0.043)

0.026

(0.050)

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

‒ 0.006

(0.029)

0.060**

(0.030)

0.066*

(0.035)

Type: On-the-job training

 

0.031

(0.095)

‒ 0.069

(0.108)

Type: Professional development

 

0.322***

(0.112)

0.185

(0.131)

Type: Internship

 

0.517***

(0.115)

0.444***

(0.133)

Program includes youth

 

‒ 0.049

(0.081)

0.005

(0.096)

Program gender/race different from firm

 

0.275**

(0.121)

0.247*

(0.144)

Covid: Stringency

  

0.167***

(0.030)

Covid: Impact to date

  

0.141***

(0.053)

Covid: Expected future impact

  

0.162***

(0.059)

Firm-level controls

No

Yes

Yes

Constant

2.882***

(0.193)

2.245***

(0.229)

1.069***

(0.291)

Model

OLS

OLS

OLS

Observations

1,309

1,158

796

R2

0.027

0.159

0.279

  1. Firm-level controls include sector (public/private/non-profit), industry (3 broad categories for manufacturing/construction/mining/utilities, health/education, and services), and firm size (small < 50, medium 50–250, large > 250).