The outcome of coaching and training for self-employment. A statistical evaluation of outside assistance support programs for unemployed business founders in Germany

Oberschachtsiek, Dirk; Scioch, Patrycja

doi:10.1007/s12651-014-0161-6

Journal for Labour Market Research

Table 8 Treatment effects for ‘discretionary start-up support’ (sub groups and robustness checks)

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

	On support^a		Matched^a		ATT^b	Inference			Balance (MSB)^c		Test^d		Exit^e
	Nj	Ni	Nj	Ni		se	se^r/se I	se^r/se II	Before	After	Before	After
Single nearest neighbor
All types	17,790	209,040	17,790	14,578	0.001	0.006	3.633	1.175	24.747	0.657	0.000	0.574	0.515
Unempl.	17,790	209,040	17,790	14,578	0.013	0.005	2.329	1.325	24.747	0.657	0.000	0.574	0.319
Empl.	17,790	209,040	17,790	14,578	− 0.016	0.004	1.942	1.210	24.747	0.657	0.000	0.574	0.129
Caliper matching
All types	17,442	209,040	17,442	14,432	0.002	0.006	3.633	1.189	24.747	0.623	0.000	0.506	0.512
Unempl.	17,442	209,040	17,442	14,432	0.013	0.005	2.329	1.284	24.747	0.623	0.000	0.506	0.318
Empl.	17,442	209,040	17,442	14,432	− 0.014	0.004	1.942	1.078	24.747	0.623	0.000	0.506	0.125
Kernel PS-matching
All types	17,790	209,040	17,790	14,578	0.001	0.006	3.633	1.175	24.747	0.657	0.000	0.574	0.515
Unempl.	17,790	209,040	17,790	14,578	0.013	0.005	2.329	1.325	24.747	0.657	0.000	0.574	0.319
Empl.	17,790	209,040	17,790	14,578	− 0.016	0.004	1.942	1.210	24.747	0.657	0.000	0.574	0.125
All, but excluding information
All types	7,688	206,189	7,688	14,064	0.007	0.008	3.118	0.937	25.954	0.575	0.000	0.996	0.470
Unempl.	7,688	206,189	7,688	14,064	0.019	0.007	2.108	0.891	25.954	0.575	0.000	0.996	0.300
Empl.	7,688	206,189	7,688	14,064	− 0.015	0.005	1.756	1.094	25.954	0.575	0.000	0.996	0.106
Western Germany
All types	6,019	164,956	6,019	11,792	0.008	0.009	4.101	1.405	27.978	1.114	0.000	0.899	0.478
Unempl.	6,019	164,956	6,019	11,792	0.019	0.008	2.300	0.900	27.978	1.114	0.000	0.899	0.285
Empl.	6,019	164,956	6,019	11,792	− 0.017	0.006	2.127	1.183	27.978	1.114	0.000	0.899	0.122
Western Germany excluding regions with high ESF state funding
All types	1,673	35,618	1,673	6,544	0.023	0.016	2.304	0.652	41.720	1.234	0.000	0.956	0.565
Unempl.	1,673	35,618	1,673	6,544	0.023	0.015	1.653	1.462	41.720	1.234	0.000	0.956	0.345
Empl.	1,673	35,618	1,673	6,544	0.002	0.011	1.006	0.821	41.720	1.234	0.000	0.956	0.130
Eastern Germany
All types	2,614	41,233	2,614	6,403	0.002	0.014	1.958	1.343	26.728	1.024	0.000	0.971	0.404
Unempl.	2,614	41,233	2,614	6,403	0.011	0.013	1.712	1.130	26.728	1.024	0.000	0.971	0.318
Empl.	2,614	41,233	2,614	6,403	− 0.015	0.007	0.994	0.906	26.728	1.024	0.000	0.971	0.054
Male population
All types	7,496	147,369	7,496	23,522	0.008	0.008	3.217	0.988	25.531	1.113	0.000	0.302	0.478
Unempl.	7,496	147,369	7,496	23,522	0.022	0.007	2.114	0.972	25.531	1.113	0.000	0.302	0.325
Empl.	7,496	147,369	7,496	23,522	− 0.015	0.005	1.685	1.370	25.531	1.113	0.000	0.302	0.107
Female population
All types	4,492	52,832	4,492	14,652	0.013	0.010	2.157	0.989	23.808	1.359	0.000	0.553	0.532
Unempl.	4,492	52,832	4,492	14,652	0.023	0.009	1.634	0.902	23.808	1.359	0.000	0.553	0.283
Empl.	4,492	52,832	4,492	14,652	− 0.004	0.007	1.350	0.949	23.808	1.359	0.000	0.553	0.137
Low treatment disposition
All types	428	88,513	428	2,378	0.039	0.030	3.633	0.884	10.112	1.963	0.000	1.000	0.425
Unempl.	428	88,513	428	2,378	0.065	0.027	2.329	0.937	10.112	1.963	0.000	1.000	0.297
Empl.	428	88,513	428	2,378	− 0.025	0.017	1.942	1.081	10.112	1.963	0.000	1.000	0.082
High treatment disposition
All types	6,044	34,157	6,044	10,038	0.004	0.009	3.633	1.236	6.840	0.579	0.000	1.000	0.502
Unempl.	6,044	34,157	6,044	10,038	0.025	0.008	2.329	1.195	6.840	0.579	0.000	1.000	0.306
Empl.	6,044	34,157	6,044	10,038	− 0.017	0.006	1.942	1.377	6.840	0.579	0.000	1.000	0.124

Table reports selected statistics of the evaluation for subgroups and selected robustness checks; source: IEB, own calculations
^aj and i are indicators for the population (i = treated population; j = untreated persons)
^bATT stands for the average treatment effect on the treated; the ATT is calculated on the basis of formula (4): Pr(T ^k ≤ 36)
^cThe balancing property is calculated as the averaged mean standardized bias based on individual and regional variables as well as the three propensity scores
^dThe test used is an F-test of the joint insignificance of all the regressors before and after matching
^eReports the probability to observe quitting self-employment within a period of 36 months related to the employment status for the matched population

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