Skip to main content

Table 7 Correlates of misconduct separation, Cox Proportional Hazard Model

From: Criminal background and job performance

 

(1)

(2)

(3)

(4)

(5)

(6)

(7)

(8)

(9)

(10)

(11)

(12)

All

All

All

All

Sales

Sales

Sales

Sales

Cust. Serv.

Cust. Serv.

Cust. Serv.

Cust. Serv.

pre_crim

0.2405***

0.2546***

0.2597***

0.2710***

0.2755***

0.2903***

0.2886***

0.3094***

0.1712*

0.1714

0.2265*

0.1601

(3.39)

(3.76)

(3.40)

(4.02)

(2.80)

(3.22)

(2.95)

(3.42)

(1.65)

(1.46)

(1.95)

(1.38)

sales

0.0741

0.0559

0.0368

0.0709

        

(0.58)

(0.42)

(0.26)

(0.62)

        

school

 

− 0.1465

− 0.1119

− 0.1421

 

− 0.1325

− 0.0919

− 0.1352

 

− 0.1761

− 0.1542

− 0.1410

 

(−1.19)

(− 0.92)

(−1.13)

 

(− 0.77)

(− 0.53)

(− 0.75)

 

(− 1.09)

(− 0.99)

(− 1.02)

fewer_short_jobs

 

− 0.1671***

− 0.1479***

− 0.1666***

 

− 0.1350**

−0.1147**

− 0.1364**

 

− 0.2299***

− 0.2125**

− 0.2396***

 

(− 3.58)

(− 3.09)

(− 3.54)

 

(− 2.48)

(−2.02)

(− 2.31)

 

(− 2.79)

(− 2.42)

(− 2.85)

longest_job

 

− 0.0826***

− 0.0739***

− 0.0884***

 

− 0.0644*

− 0.0550

− 0.0688*

 

− 0.1219**

−0.1138**

− 0.1330***

 

(− 3.02)

(− 2.79)

(− 3.21)

 

(− 1.75)

(− 1.56)

(− 1.81)

 

(− 2.34)

(− 2.21)

(− 2.61)

badservice

  

0.1997

   

0.1368

   

0.3750

 
  

(1.64)

   

(1.23)

   

(1.41)

 

confidence

  

0.5401***

   

0.6111***

   

0.4174*

 
  

(4.57)

   

(4.33)

   

(1.90)

 

rulebreaker1

  

− 0.3712*

   

− 0.2786

   

− 0.5956**

 
  

(− 1.81)

   

(− 1.14)

   

(− 2.27)

 

open1

   

− 0.0612

   

0.0364

   

− 0.2687**

   

(− 0.84)

   

(0.60)

   

(− 2.37)

open2

   

− 0.0345

   

14.7302

   

− 0.0995

   

(− 0.08)

   

(.)

   

(− 0.20)

open3

   

− 0.0289

   

− 0.0327

   

− 0.0748

   

(− 0.25)

   

(− 0.20)

   

(− 0.65)

con1

   

0.1072

   

0.1392*

   

0.0318

   

(1.33)

   

(1.73)

   

(0.15)

con2

   

0.0812

   

0.2190*

   

− 0.1947

   

(0.62)

   

(1.75)

   

(− 1.37)

con3

   

− 0.1556

   

− 0.6501

   

− 0.0860

   

(− 1.04)

   

(− 1.22)

   

(− 0.52)

extra1

   

− 0.0628

   

− 0.0701

   

− 0.1024

   

(− 0.77)

   

(− 0.74)

   

(− 0.65)

extra2

   

− 0.0167

   

− 0.0299

   

− 0.0014

   

(− 0.13)

   

(− 0.17)

   

(− 0.01)

extra3

   

− 0.0952*

   

− 0.0299

   

− 0.2488**

   

(− 1.70)

   

(− 0.89)

   

(− 2.20)

agree1

   

− 0.0940

   

− 0.0063

   

− 0.2636*

   

(− 1.17)

   

(− 0.06)

   

(− 1.67)

agree2

   

0.0935

   

− 0.0162

   

0.3266*

   

(1.06)

   

(− 0.13)

   

(1.85)

agree3

   

0.2678

   

14.9843***

   

0.3783

   

(0.58)

   

(85.25)

   

(0.77)

neur1

   

0.0629

   

0.0650

   

0.0396

   

(0.40)

   

(0.28)

   

(0.34)

neur2

   

− 0.0277

   

− 0.0472

   

0.0333

   

(− 0.31)

   

(− 0.46)

   

(0.20)

neur3

   

− 0.1141

   

− 0.0660

   

− 0.2821*

   

(− 0.89)

   

(− 0.44)

   

(− 1.82)

firm_id dummies

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

location dummies

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Observations

10,699

10,699

10,699

10,699

5402

5402

5402

5402

5297

5297

5297

5297

Pseudo R-squared

0.033

0.035

0.038

0.037

0.016

0.017

0.020

0.019

0.044

0.049

0.053

0.056

  1. Sample contains only hired workers for whom information about criminal background is available. t-statistics in parentheses. Standard errors clustered by firm
  2. *p < 0.10, **p < 0.05, ***p < .01