Should Local Public Employment Services be Merged with the Local Social Benefit Administrations?



Table A4: First stage of the IV regression

Dependent variable:                      Log number of long-term unemployed finding a job each month

(1)

(2)

(3)

(4)

German County Association

0.297**

0.258**

0.195**

0.190**

[0.058]

[0.053]

[0.038]

[0.035]

Specialized case management

-0.233**

-0.164**

-0.163**

[0.056]

[0.043]

[0.039]

Own vacancy recruitment service

0.379**

0.378**

[0.037]

[0.038]

Integrated matching approach

-0.025

-0.055

[0.117]

[0.112]

Length of first interview (Log)

-0.020

[0.039]

First interview within 2 weeks

-0.165**

[0.041]

Agreement signed

0.034

[0.080]

Long-term unemployed (Log)

0.119

0.059

0.019

0.001

[0.087]

[0.085]

[0.074]

[0.070]

Long-term unemployed in neighbouring
regions (Log)

-0.070

0.012

0.073

0.083

[0.088]

[0.094]

[0.065]

[0.062]

Short-term unemployed (Log)

-0.084

0.028

-0.047

-0.022

[0.074]

[0.063]

[0.052]

[0.056]

Short-term unemployed in neighbouring
regions (Log)

-0.000

-0.059

-0.172**

-0.181**

[0.114]

[0.092]

[0.056]

[0.058]

New vacancies (Log)

-0.395**

-0.327**

-0.207**

-0.190*

[0.101]

[0.085]

[0.067]

[0.068]

New vacancies in neighbouring regions
(Log)

0.032

-0.005

0.037

0.032

[0.077]

[0.079]

[0.055]

[0.051]

Rural regions

-0.033

-0.034

0.049

0.044

[0.062]

[0.055]

[0.053]

[0.058]

Metropolitan regions

-0.152

-0.130

-0.044

-0.031

[0.072]

[0.078]

[0.067]

[0.068]

East Germany

0.113*

0.111**

0.160**

0.132*

[0.048]

[0.035]

[0.040]

[0.046]

Population (Log)

0.411**

0.304**

0.204*

0.191

[0.120]

[0.100]

[0.089]

[0.095]

Constant

-2.264*

-1.611*

-0.285

-0.079

[0.810]

[0.660]

[0.494]

[0.558]

Observations

409

399

399

387

R-squared

0.30

0.38

0.57

0.59

Standard errors are given in parentheses. Coefficients with * and ** indicate significance at a 5 % and 1 %
level, respectively. Observations are clustered at the level of the 16 German states and weighted accordingly.

23



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