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 |
-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 |
-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 |
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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