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Table 8 GMM estimations: 1996–2010

From: Does ICT affect the demand for vocationally educated workers?

 

(1)

(2)

(3)

(4)

(5)

(6)

Untrained

VET

High school

PET

UAS

University

ICT (tasks-based)

− 0.275***

(0.0753)

− 0.0827

(0.0947)

0.0809**

(0.0409)

0.0295

(0.0601)

0.141***

(0.0452)

0.0918***

(0.0348)

Firm total employment

0.00000963**

(0.00000473)

− 0.00000696

(0.00000544)

− 0.00000187

(0.00000178)

0.00000321

(0.00000505)

− 0.00000201

(0.00000190)

− 0.00000342

(0.00000241)

Tenure

− 0.000508

(0.00281)

0.00215

(0.00316)

− 0.000742

(0.000695)

0.000508

(0.00161)

− 0.000886

(0.00133)

− 0.000775

(0.000990)

Tenure squared

− 0.0000950

(0.0000950)

− 0.00000906

(0.000109)

0.0000371*

(0.0000220)

0.00000966

(0.0000528)

0.0000514

(0.0000414)

0.0000153

(0.0000324)

Age

0.000754

(0.00639)

− 0.0136*

(0.00703)

0.000736

(0.00192)

0.00150

(0.00391)

0.00285

(0.00279)

0.00836***

(0.00293)

Age squared

0.0000550

(0.0000791)

0.000128

(0.0000874)

− 0.0000191

(0.0000233)

− 0.0000277

(0.0000484)

− 0.0000379

(0.0000373)

− 0.000106***

(0.0000392)

Part-time dummy

0.0589***

(0.0176)

− 0.0666***

(0.0182)

0.0179***

(0.00411)

− 0.0270***

(0.00829)

0.0141**

(0.00703)

0.00596

(0.00778)

Male

0.0881***

(0.0264)

0.0198

(0.0295)

− 0.00740

(0.00621)

− 0.0676***

(0.0162)

− 0.0176

(0.0128)

− 0.00966

(0.00902)

Time * MS-region FE

✓

✓

✓

✓

✓

✓

N

16290

16290

16290

16290

16290

16290

Mean dependent variable

0.229

0.573

0.0190

0.0909

0.0465

0.0420

  1. The table shows the GMM estimates of a firm pseudo-panel with cells defined according to MS-region, industry, and firm size. Standard errors in parentheses are clustered at the cell level. N reports the number of pseudo-panel cells that contain at least one firm. The main explanatory variable measures the cell percentage of ICT workers according to ICT tasks. Estimates further control for time*MS-region fixed effects and cell averages of total employment, tenure, age, part-time status, and gender. Each column shows the results for a different dependent variable measuring the percentage of workers with a particular education within the cell
  2. *P < 0.10, ** P < 0.05, ***P < 0.01