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 6 Treatment effects for ‘training’ (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	1,983	136,376	1,983	1,816	0.023		0.017	1.799	1.094	27.318	1.610	0.000	0.049	0.495
Unempl.	1,983	136,376	1,983	1,816	0.020		0.016	1.364	1.113	27.318	1.610	0.000	0.049	0.321
Empl.	1,983	136,376	1,983	1,816	0.010		0.011	1.163	0.943	27.318	1.610	0.000	0.049	0.119
Caliper matching
All types	1,516	136,376	1,516	1,487	0.031		0.018	1.799	1.072	27.318	2.558	0.000	0.060	0.504
Unempl.	1,516	136,376	1,516	1,487	0.030		0.017	1.364	1.047	27.318	2.558	0.000	0.060	0.334
Empl.	1,516	136,376	1,516	1,487	0.009		0.012	1.163	0.962	27.318	2.558	0.000	0.060	0.116
Kernel PS-matching
All types	1,983	136,376	1,983	1,816	0.023		0.017	1.799	1.094	27.318	1.610	0.000	0.049	0.495
Unempl.	1,983	136,376	1,983	1,816	0.020		0.016	1.364	1.113	27.318	1.610	0.000	0.049	0.321
Empl.	1,983	136,376	1,983	1,816	0.010		0.011	1.163	0.943	27.318	1.610	0.000	0.049	0.119
All, but excluding information
All types	1,558	118,236	1,558	22,234	− 0.001		0.016	1.725	0.842	26.087	1.984	0.000	0.851	0.475
Unempl.	1,558	118,236	1,558	22,234	0.021		0.015	1.423	1.041	26.087	1.984	0.000	0.851	0.323
Empl.	1,558	118,236	1,558	22,234	− 0.013		0.010	1.172	0.842	26.087	1.984	0.000	0.851	0.102
Western Germany
All types	1,321	88,003	1,321	2,5967	0.027		0.017	1.670	1.011	28.828	2.266	0.000	0.961	0.498
Unempl.	1,321	88,003	1,321	25,967	0.030		0.015	1.405	0.996	28.828	2.266	0.000	0.961	0.315
Empl.	1,321	88,003	1,321	25,967	0.001		0.011	1.099	0.820	28.828	2.266	0.000	0.961	0.119
Western Germany excluding regions with high ESF state funding
All types	212	30,457	212	6,287	0.019		0.040	0.972	0.921	24.129	1.753	0.000	1.000	0.523
Unempl.	212	30,457	212	6,287	0.073		0.038	0.941	1.150	24.129	1.753	0.000	1.000	0.391
Empl.	212	30,457	212	6,287	− 0.042		0.022	1.151	0.888	24.129	1.753	0.000	1.000	0.075
Eastern Germany
All types	286	37,040	286	1,190	0.013		0.036	1.239	0.758	22.253	2.667	0.000	0.997	0.447
Unempl.	286	37,040	286	1,190	0.000		0.035	1.022	1.053	22.253	2.667	0.000	0.997	0.349
Empl.	286	37,040	286	1,190	0.024		0.019	1.232	1.032	22.253	2.667	0.000	0.997	0.073
Male population
All types	1,126	83,300	1,126	33,874	− 0.003		0.017	1.555	0.739	24.827	1.783	0.000	0.994	0.471
Unempl.	1,126	83,300	1,126	33,874	0.015		0.016	1.047	1.077	24.827	1.783	0.000	0.994	0.337
Empl.	1,126	83,300	1,126	33,874	− 0.010		0.010	1.165	0.629	24.827	1.783	0.000	0.994	0.097
Female population
All types	579	28,320	579	15,001		0.008	0.024	1.353	0.846	27.863	2.825	0.000	0.996	0.531
Unempl.	579	28,320	579	15,001		0.027	0.022	1.249	1.468	27.863	2.825	0.000	0.996	0.302
Empl.	579	28,320	579	15,001		0.001	0.017	0.845	1.024	27.863	2.825	0.000	0.996	0.139
Low treatment disposition
All types	121	49,488	121	1,256	0.054		0.054	1.799	0.776	14.720	2.470	0.000	1.000	0.487
Unempl.	121	49,488	121	1,256	0.050		0.051	1.364	0.948	14.720	2.470	0.000	1.000	0.363
Empl.	121	49,488	121	1,256	− 0.002		0.030	1.163	0.946	14.720	2.470	0.000	1.000	0.082
High treatment disposition
All types	776	26,238	776	3,462	0.009		0.023	1.799	0.845	23.486	2.123	0.000	0.997	0.481
Unempl.	776	26,238	776	3,462	0.000		0.021	1.364	0.823	23.486	2.123	0.000	0.997	0.283
Empl.	776	26,238	776	3,462	0.014		0.016	1.163	0.899	23.486	2.123	0.000	0.997	0.126

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 (prob values)
^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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