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Table 10 Selected variables before and after matching in 1986 for 21–24 year-old workers (standard errors in parentheses)

From: Can employment subsidies and greater labour market flexibility increase job opportunities for youth? Revisiting the Italian On-the-job Training ProgrammeKönnen Lohnkostenzuschüsse und eine größere Flexibilität des Arbeitsmarktes die Anzahl der Stellenangebote für Jugendliche erhöhen? Eine Neuerwägung des italienischen Betriebsausbildungsprogramms

Variable

Before matching

After matching

 

Untreated

Treated

Untreated

Treated

Artisan

0.486674

0.309595

0.319580

0.322266

 

(0.499824)

(0.462555)

(0.466542)

(0.467572)

Size

9.402192

40.77052

20.31966

21.61426

 

(28.54818)

(191.3818)

(36.94924)

(43.51913)

Firm's age

7.939438

3.240337

7.356364

7.347656

 

(7.523244)

(3.298095)

(3.291211)

(3.294926)

Number of males

5.768556

20.05857

13.57259

13.89453

 

(26.83482)

(136.6268)

(29.23727)

(30.03775)

Number of blue collar workers

7.505811

22.18906

16.27197

16.85449

 

(28.44313)

(121.1931)

(30.34577)

(35.37205)

Number of apprentices

0.934651

1.750039

1.355062

1.34082

 

(1.529179)

(3.037047)

(2.407525)

(2.261941)

Number of workers under 20 years old

1.437891

2.481867

2.376709

2.453125

 

(3.192878)

(5.535429)

(3.554734)

(3.455307)

Number of workers between 21 and 24 years old

1.649114

3.303712

3.458745

3.662109

 

(6.086053)

(10.47834)

(5.189902)

(4.863844)

Number of workers between 25 and 29 years old

1.621119

4.527697

3.666585

3.891602

 

(6.869436)

(30.31506)

(6.653488)

(7.507505)

Number of workers between 30 and 32 years old

0.768825

3.284795

1.730469

1.900391

 

(3.503462)

(18.13499)

(3.90936)

(4.673697)

Number of workers between 33 and 35 years old

0.645664

3.616331

1.47583

1.523438

 

(3.163205)

(19.0575)

(3.606509)

(4.436523)

Lag eligible stock variation

−0.01924

1.049493

0.065104

0.081055

 

(1.355094)

(2.652389)

(2,005692)

(1.330987)