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Table 3 Estimates of focus variables in robustness checks

From: Labor market tightness and individual wage growth: evidence from Germany

Model

Row

\(ue\)-ratio

\(\Delta\) \(ue\)-ratio

No. Obs

Adj. R2

b

(s.e.)

b

(s.e.)

Baseline

(1)

− 0.250

(0.015)

− 0.120

(0.012)

316,711

0.591

Men only

(2)

− 0.305

(0.017)

− 0.132

(0.014)

177,008

0.562

Women only

(3)

− 0.116

(0.035)

− 0.170

(0.046)

139,703

0.555

Educational degree

(4)

− 0.262

(0.016)

− 0.127

(0.012)

275,342

0.587

No University option

(5)

− 0.238

(0.017)

− 0.118

(0.012)

224,050

0.582

No regional migration

(6)

− 0.206

(0.019)

− 0.089

(0.012)

216,985

0.603

No migr., no STEM change

(7)

− 0.194

(0.020)

− 0.095

(0.014)

198,176

0.604

no STEM change

(8)

− 0.238

(0.016)

− 0.122

(0.014)

285,613

0.592

No reg. and no occ. Migr

(9)

− 0.189

(0.022)

− 0.148

(0.020)

124,752

0.594

Only one employer

(10)

− 0.008

(0.018)

− 0.055

(0.009)

316,711

0.636

Average firm wage

(11)

− 0.170

(0.028)

− 0.122

(0.018)

256,233

0.602

CHK effects

(12)

− 0.143

(0.025)

− 0.097

(0.029)

71,025

0.609

  1. Each row represents one robustness check regression; cluster robust s.e. in parentheses
  2. Including all control variables and occupation-specific interaction effects for the ue-ratio and \(\Delta\) ue-ratio