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Table 5 Country-level estimates of the effects of the displayed variables on the risks of exiting unemployment and of entering unemployment in a seemingly unrelated regressions setup à la Zellner (1962)

From: A cross-country study of skills and unemployment flows

 

Age

Education

 

25–34

35–44

45–54

55–65

Low

Medium

High

 

\(\lambda _i\) (log-risk of exiting unemployment)

Numeracy (std)

\({0}.{749}^{**}\)

\({1}.{485}^{***}\)

\({0}.{706}^{**}\)

\({1}.{582}^{***}\)

0.614

\({1}.{074}^{***}\)

\({1}.{109}^{***}\)

 

(0.340)

(0.395)

(0.280)

(0.605)

(0.447)

(0.394)

(0.418)

Logarithmized GDP per capita (PPP)

\({0}.{700}^{**}\)

0.590

0.541

\({1}.{394}^{*}\)

− 0.096

\({1}.{077}^{***}\)

\({0}.{618}^{*}\)

 

(0.329)

(0.442)

(0.360)

(0.779)

(0.454)

(0.350)

(0.358)

Employment in public sector (share)

0.114

\({-3}.{704}^{***}\)

\({-1}.{731}^{*}\)

0.168

\({-3}.{579}^{**}\)

0.165

− 0.341

 

(1.274)

(1.248)

(1.007)

(1.737)

(1.461)

(1.798)

(1.035)

ICT in the workplace (std)

− 0.270

− 0.717

0.059

− 0.552

0.787

− 0.386

− 0.311

 

(0.406)

(0.561)

(0.434)

(0.897)

(0.819)

(0.382)

(0.404)

Minimum relative to median wage

− 0.266

0.392

1.126

3.060

2.132

0.094

0.267

 

(1.068)

(1.248)

(1.012)

(2.154)

(1.547)

(1.047)

(1.132)

Trade union density

− 0.356

0.678

− 0.781

0.440

0.305

− 0.462

0.069

 

(0.478)

(0.571)

(0.478)

(0.944)

(0.677)

(0.611)

(0.510)

Unemployment benefits (level)

0.698

0.383

\({1}.{693}^{***}\)

− 0.228

0.634

\({1}.{106}^{*}\)

− 0.341

 

(0.623)

(0.746)

(0.613)

(1.354)

(0.794)

(0.649)

(0.727)

Unemployment benefits (degression)

0.365

0.254

0.159

1.154

0.566

0.247

0.257

 

(0.420)

(0.532)

(0.414)

(0.870)

(0.601)

(0.456)

(0.484)

Employment protection (regular)

\({-0}.{212}^{*}\)

− 0.227

\({-0}.{262}^{**}\)

\({-0}.{533}^{**}\)

− 0.066

\({-0}.{293}^{**}\)

− 0.007

 

(0.128)

(0.146)

(0.116)

(0.249)

(0.168)

(0.134)

(0.138)

Employment protection (temporary)

− 0.014

− 0.039

0.030

0.110

0.019

− 0.013

− 0.074

 

(0.078)

(0.095)

(0.079)

(0.182)

(0.103)

(0.082)

(0.086)

\(R^2\) (\(\lambda _0^c\))

0.538

0.665

0.655

0.584

0.459

0.683

0.528

Observations

27

27

27

27

26

26

26

 

\(\delta _i\) (log-risk of entering unemployment)

Numeracy (std)

\({-1}.{918}^{***}\)

− 0.243

\({-1}.{220}^{***}\)

− 0.577

− 0.480

− 0.606

\({-1}.{788}^{***}\)

 

(0.485)

(0.500)

(0.428)

(0.626)

(0.479)

(0.497)

(0.514)

Logarithmized GDP per capita (PPP)

− 0.319

0.496

− 0.635

− 0.969

\({-1}.{341}^{***}\)

− 0.449

− 0.240

 

(0.468)

(0.559)

(0.551)

(0.805)

(0.486)

(0.440)

(0.441)

Employment in public sector (share)

0.039

0.037

\({5}.{115}^{***}\)

\({3}.{258}^{*}\)

\({6}.{973}^{***}\)

\({4}.{028}^{*}\)

0.318

 

(1.817)

(1.581)

(1.540)

(1.796)

(1.564)

(2.265)

(1.273)

ICT in the workplace (std)

− 0.148

\({-2}.{474}^{***}\)

− 0.141

0.084

\({2}.{212}^{**}\)

0.296

0.157

 

(0.579)

(0.711)

(0.664)

(0.927)

(0.877)

(0.481)

(0.497)

Minimum relative to median wage

-1.010

-1.710

\({-4}.{373}^{***}\)

-1.485

\({-2}.{793}^{*}\)

− 0.958

-1.651

 

(1.522)

(1.582)

(1.548)

(2.226)

(1.656)

(1.318)

(1.392)

Trade union density

0.884

0.068

\({-2}.{446}^{***}\)

− 0.976

\({-2}.{195}^{***}\)

− 0.916

− 0.055

 

(0.681)

(0.724)

(0.731)

(0.976)

(0.725)

(0.769)

(0.627)

Unemployment benefits (level)

0.297

\({1}.{712}^{*}\)

\({2}.{578}^{***}\)

− 0.887

0.958

0.476

− 0.191

 

(0.888)

(0.945)

(0.938)

(1.399)

(0.850)

(0.818)

(0.894)

Unemployment benefits (degression)

− 0.193

\({-1}.{672}^{**}\)

− 0.984

− 0.443

\({1}.{477}^{**}\)

− 0.601

− 0.974

 

(0.599)

(0.674)

(0.632)

(0.899)

(0.644)

(0.574)

(0.596)

Employment protection (regular)

0.082

− 0.260

− 0.285

− 0.410

\({-0}.{714}^{***}\)

\({-0}.{389}^{**}\)

\({0}.{330}^{*}\)

 

(0.183)

(0.185)

(0.178)

(0.257)

(0.180)

(0.169)

(0.169)

Employment protection (temporary)

0.014

\({-0}.{230}^{*}\)

− 0.062

− 0.132

0.180

0.017

− 0.130

 

(0.112)

(0.121)

(0.121)

(0.188)

(0.110)

(0.103)

(0.105)

\(R^2\) (\(\delta _0^c\))

0.590

0.476

0.636

0.474

0.646

0.483

0.530

Observations

27

27

27

27

26

26

26

 

\(\lambda _i-\delta _i\) (log-risk-ratio of exiting to entering unemployment)

Numeracy (std)

\({2}.{666}^{***}\)

\({1}.{728}^{***}\)

\({1}.{926}^{***}\)

\({2}.{159}^{***}\)

\({1}.{093}^{**}\)

\({1}.{680}^{***}\)

\({2}.{897}^{***}\)

 

(0.424)

(0.486)

(0.442)

(0.332)

(0.501)

(0.580)

(0.464)

Logarithmized GDP per capita (PPP)

\({1}.{019}^{**}\)

0.094

\({1}.{175}^{**}\)

\({2}.{363}^{***}\)

\({1}.{245}^{**}\)

\({1}.{526}^{***}\)

\({0}.{858}^{**}\)

 

(0.409)

(0.544)

(0.569)

(0.427)

(0.508)

(0.514)

(0.398)

Employment in public sector (share)

0.075

\({-3}.{742}^{**}\)

\({-6}.{846}^{***}\)

\({-3}.{090}^{***}\)

\({-10}.{553}^{***}\)

-3.862

− 0.659

 

(1.587)

(1.537)

(1.593)

(0.953)

(1.636)

(2.643)

(1.149)

ICT in the workplace (std)

− 0.121

\({1}.{756}^{**}\)

0.200

− 0.636

-1.424

− 0.682

− 0.467

 

(0.506)

(0.691)

(0.687)

(0.492)

(0.917)

(0.561)

(0.448)

Minimum relative to median wage

0.744

2.101

\({5}.{500}^{***}\)

\({4}.{544}^{***}\)

\({4}.{925}^{***}\)

1.052

1.918

 

(1.330)

(1.538)

(1.600)

(1.182)

(1.732)

(1.539)

(1.256)

Trade union density

\({-1}.{240}^{**}\)

0.610

\({1}.{665}^{**}\)

\({1}.{416}^{***}\)

\({2}.{500}^{***}\)

0.454

0.124

 

(0.595)

(0.704)

(0.756)

(0.518)

(0.758)

(0.898)

(0.566)

Unemployment benefits (level)

0.401

-1.329

− 0.885

0.658

− 0.324

0.631

− 0.150

 

(0.775)

(0.918)

(0.969)

(0.743)

(0.889)

(0.955)

(0.807)

Unemployment benefits (degression)

0.558

\({1}.{926}^{***}\)

\({1}.{143}^{*}\)

\({1}.{597}^{***}\)

− 0.911

0.848

\({1}.{232}^{**}\)

 

(0.523)

(0.655)

(0.654)

(0.477)

(0.673)

(0.670)

(0.538)

Employment protection (regular)

\({-0}.{293}^{*}\)

0.034

0.023

− 0.123

\({0}.{649}^{***}\)

0.095

\({-0}.{337}^{**}\)

 

(0.160)

(0.180)

(0.184)

(0.136)

(0.189)

(0.197)

(0.153)

Employment protection (temporary)

− 0.028

0.190

0.092

\({0}.{242}^{**}\)

− 0.161

− 0.030

0.056

 

(0.097)

(0.117)

(0.125)

(0.100)

(0.116)

(0.120)

(0.095)

\(R^2\) (\(\lambda _0^c-\delta _0^c\))

0.780

0.693

0.674

0.805

0.713

0.689

0.797

Observations

27

27

27

27

26

26

26

  1. Sample excluding survey participants from Indonesia, Ecuador, Peru, Mexico, Kazakhstan, Chile and Turkey. Fixed effects by round of data collection and minimum-wage regulation not displayed. Sampling weights employed in all calculations. Standard errors in parentheses. Statistical significance at the 10, 5, and 1% level denoted by \(^{*}\),\(^{**}\), and \(^{***}\), respectively. Author’s calculations based on the Survey of Adult Skills (PIAAC), the Penn World Table 9.1 (Feenstra et al. 2015), OECD statistics (https://stats.oecd.org/) and ILO statistics (https://ilostat.ilo.org/data/)