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Table 5 The effect of mobility on wages

From: The value of apprentices in the care sector: the effect of apprenticeship costs on the mobility of graduates from apprenticeship training

 

(1) Continuous wages

Binary wage information

(5) Differential of wage & apprentices’ salary

(2) By \(q_{0.25}\)

(3) By \(q_{0.50}\)

(4) By \(q_{0.75}\)

Facility switch

− 6.823

− 0.013

− 0.079

\(-0.114^*\)

\(-7.832^*\)

 

(4.157)

(0.061)

(0.063)

(0.060)

(4.380)

Additional controls

Yes

Yes

Yes

Yes

Yes

R\(^2\)

0.159

0.240

0.148

0.203

0.137

Observations

3223

3223

3223

3223

3223

Individuals

482

482

482

482

482

  1. Stars denote significance of coefficients: \(^*p<10\%\), \(^{**}p<5\%\), \(^{***}p<1\%\); standard errors clustered at the level of federal states are in parentheses.
  2. This table provides results from estimating the effect of leaving the training facility on wages. To perform a two-step instrumental variables (IV) estimation, we take the estimated probability of leaving the training care facility (\(\widehat{mobility}_{ijt}\)) from estimating Eq. (1). In the second step, we estimate the effect of this estimated probability on earnings \(wage_{ijt}\) in Model (1) and on the differential of wages and apprentices’ salary during apprenticeship training in Model (5). In the Models 2–4, we use binary information about wages. E.g. in Model 2, we estimate the effect of a facility switch on the probability to earn a wage that exceeds the first quartile of the wage distribution
  3. Source: Sample of Integrated Labour Market Biographies 1975-2017 (SIAB 7517v1); Regional Database of the Federal Statistical Office and the Federal Employment Agency