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Table 6 The balance of the treatment: The probability of being in the treatment group for the pre-reform periods by characteristics of graduates, care facilities, and regions

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

 

Coeff.

SE

(a) Individual characteristics

 Age

\(0.015^{**}\)

(0.006)

 Female

0.012

(0.011)

 University entrance qualification

-0.019

(0.036)

 German citizenship

\(-0.298^*\)

(0.155)

 Duration of apprenticeship (in days)*100

0.004

(0.008)

(b) Characteristics of care facilities

 Number of employees*10

− 0.001

(0.001)

 Share of full-time employees

− 0.001

(0.001)

 Ambulatory nursing service

− 0.020

(0.017)

 Gross median daily pay rate of full-time employees

− 0.001

(0.001)

(c) Regional variables of counties

 Number of school graduates*1000

0.005

(0.015)

  First lag

− 0.014

(0.012)

  Second lag

0.026

(0.017)

 Number of care-dependent persons per

− 0.0003

(0.0004)

 1000 inhabitants above the age of 64

  

Number of nurses per 100 care-dependent

\(0.002^{**}\)

(0.001)

Persons in inpatient facilities

  

Number of slots in inpatient facilities per

− 0.003

(0.002)

1000 inhabitants above the age of 64

  

Unemployment rate

− 0.008

(0.006)

Time dummies

Yes

Observations

1144

Number of individuals

448

  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 uses pooled OLS and regresses a binary treatment variable on explaining variables for the pre-reform periods. It should be noted that the dependent variable equals one if the graduate resides in one federal state that has not already but will later introduce the levy scheme. The treatment indicator thus equals zero if the graduate resides in one federal state that will never introduce the levy scheme. The table controls for variables summarized in Table 1 and additional regional variables.
  3. Source: Sample of Integrated Labour Market Biographies 1975 -2017 (SIAB 7517v1); Regional Database of the Federal Statistical Office and the Federal Employment Agency