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Journal for Labour Market Research

Table 1 Factors affecting treatment selection. (Source: IEB, own calculations)

From: The outcome of coaching and training for self-employment. A statistical evaluation of outside assistance support programs for unemployed business founders in GermanyDie Erfolgswirkung von Gründercoaching und Gründertrainings. Eine Evaluation von Fördermaßnahmen bei Gründungen aus der Arbeitslosigkeit in Deutschland

 

Training

Coaching

DSUS

 

BIC

LR

BIC

LR

BIC

LR

Model 1

40,459.61

1782.47***

171,601.50

7163.75***

200,113.40

1260.58***

(only b1)

Model 2

33,738.78

8204.86***

129,326.40

44134.18***

152,136.90

50014.96***

(adding b2 to b1)

Model 3

33,057.17

950.84***

128,866.70

926.89***

150,720.80

1685.34***

(adding b3 to model 2)

  1. The blocks of attributes are introduced sequentially in nested models
  2. The blocks of attributes contain: b1 (7 dummy variables for the # half-year of entry); b2 (regional information, 108 to 159 variables, including regional conditions and dummy variables for each local labor market district); b3 (individual information, 94–99 variables, including gender, age, qualification level, employment background and occupational background based on a two digit classification)
  3. Low values of the BIC indicate a superior statistical model: \(BIC=-2*In\,L+k*In(n)\)
  4. The change in the terms of the BIC is sensitive to the order in which the models are introduced—however, several checks reveal no different findings from those reported above
  5. Statistical signifcance: * p<0.05; ** p<0.01; *** p<0.001
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