“Fine...I’ll do it myself”: Lessons from self-employment grants in a long recession period

Stjepan Srhoj; Ivan Zilic

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“Fine...I’ll do it myself”: Lessons from self-employment grants in a long recession period

Stjepan Srhoj

Ivan Zilic

| 19 jun 2021

IZA Journal of Labor Policy

Volumen 11 (2021): Edición 1 (January 2021)

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Publicado en línea: 19 jun 2021

Páginas: -

Aceptado: 23 abr 2021

DOI: https://doi.org/10.2478/izajolp-2021-0006

Palabras clave
self-employment grant, evaluation, unemployment, firm performance

© 2021 Stjepan Srhoj et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Kaplan–Meier estimate of employment survival.

Kaplan–Meier estimate of employment survival by legal form.

Heterogeneous effects: time spent at the unemployment office.

Heterogeneous effects: potentially bogus employment.

Kaplan–Meier firm survival estimates by years.

Number of appearances of individuals in the entrepreneurial sample.

Kaplan–Meier estimates of employment survival: full sample.

Overlap of propensity scores before and after nearest neighbor matching.

Kaplan–Meier estimates of employment survival by years.

Descriptive statistics on self-employment grants (in €)

Year	# Grants	# New unlim. liab. firms	# New lim. liab. Firms	Mean amount	Median amount	SD of amount	Total amount
2010	282	6,539	19,074	4,061	3,983	491	1,145,272
2011	770	7,532	19,947	3,851	3,876	744	2,965,571
2012	838	7,372	19,984	2,614	2,467	304	2,190,132
2013	4,409	9,641	30,416	2,074	1,930	1,175	9,145,960
2014	2,938	7,816	22,168	3,321	3,263	1,038	9,757,121
2015	2,649	7,235	21,119	3,398	3,274	643	9,000,336
2016	2,162	7,652	23,337	3,415	3,308	809	7,384,163
2017	2,526	9,905	6,060^*	4,749	4,658	1,269	11,995,409

Regression results for limited liability firms

	Employees (at least)					N

	Sales	Employment	One	Two	Survival

	(1)	(2)	(3)	(4)	(5)
Time horizon
End of firm registration year (t)	−9,467^*** (1,173)	−0.023 (0.070)	0.332^*** (0.006)	−0.040^*** (0.006)		46,336
1 year later (t+1)	−36,214^*** (5,217)	−0.436^*** (0.097)	0.217^*** (0.007)	−0.074^*** (0.010)	−0.018^*** (0.006)	34,300
2 years later (t+2)	−35,921^*** (5,946)	−0.579^*** (0.131)	0.136^*** (0.010)	−0.045^*** (0.012)	−0.037^*** (0.009)	24,804

Results, unemployment re-entry: episodes by individuals with at least two appearances in the dataset

	Sample mean	(1)	(2)	(3)	(4)	N
Panel A: Full sample
Not unemployed after
6 months	0.550	0.348^*** (0.004)	0.319^*** (0.004)	0.087^*** (0.006)	0.013 (0.012)	1,127,780
12 months	0.325	0.541^*** (0.005)	0.513^*** (0.005)	0.166^*** (0.007)	0.095^*** (0.013)	1,073,749
18 months	0.262	0.497^*** (0.006)	0.471^*** (0.006)	0.135^*** (0.009)	0.077^*** (0.015)	1,011,130
24 months	0.200	0.494^*** (0.007)	0.471^*** (0.007)	0.143^*** (0.010)	0.104^*** (0.016)	946,819
36 months	0.135	0.393^*** (0.009)	0.375^*** (0.009)	0.111^*** (0.011)	0.112^*** (0.018)	802,001
Individual-based covariates		No	Yes	Yes	Yes	–
Episode-based covariates		No	No	Yes	Yes	–
Individual fixed-effects		No	No	No	Yes	–

Panel B: Entrepreneurial sample
Not unemployed after
6 months	0.671	0.269^*** (0.006)	0.261^*** (0.006)	0.065^*** (0.006)	0.020^* (0.012)	30,436
12 months	0.503	0.424^*** (0.006)	0.417^*** (0.006)	0.132^*** (0.007)	0.086^*** (0.014)	29,021
18 months	0.407	0.410^*** (0.007)	0.401^*** (0.008)	0.100^*** (0.009)	0.064^*** (0.016)	27,565
24 months	0.330	0.421^*** (0.008)	0.414^*** (0.008)	0.107^*** (0.010)	0.080^*** (0.017)	25,855
36 months	0.217	0.348^*** (0.010)	0.343^*** (0.010)	0.076^*** (0.012)	0.073^*** (0.019)	22,228
Individual-based covariates		No	Yes	Yes	Yes	–
Episode-based covariates		No	No	Yes	Yes	–
Individual fixed-effects		No	No	No	Yes	–

OLS and Cox proportional hazard estimates of firm survival (unlimited liability firms)

Dependent variable (method)

	Firms survive (OLS)					Survival (COX PH)

	6 months	12 months	18 months	24 months	36 months	Coefficient	Hazard ratio
Grant received
	0.089^*** (0.006)	0.148^*** (0.007)	0.069^*** (0.009)	0.049^*** (0.010)	0.015 (0.013)	−0.272^*** (0.021)	0.762 [0.696, 0.835]

Observations	61,241	56,384	51,758	48,029	40,997	61,953
R²	0.030	0.045	0.036	0.042	0.047	0.054

Results, unemployment reentry: survival models

	Entrepreneurial sample

	COX proportional hazard		Parametric Weibull		COX mixed effects
Coefficient hazard ratio
Survival	−0.443^*** (0.030)	0.642 [0.606, 0.680]	0.501^*** (0.033)	0.640 [0.599, 0.683]	−0.447^*** (0.030)	0.640 [0.603, 0.679]
Observations	49,211		49,211		49,211
Ind. covariates	Yes		Yes		Yes
Epis. covariates	Yes		Yes		Yes

Descriptive statistics of limited liability firms

	Grant			No grant

	M	Median	SD	M	Median	SD
Registered capita (in euro)	1,444	1.333	7,178	6,166	2,667	29,202
Sales (in euro)
t	13,225	5,245	27,698	26,134	5,383	56,868
t+1	35,641	16,234	71,016	103,409	24,615	522,825
t+2	45,859	19,620	108,306	137,826	28,229	816,707
Number of employees
t	1.321	1.000	1.230	1.341	1.000	2.689
t+1	1.529	1.000	1.629	2.201	1.000	6.154
t+2	1.633	1.000	1.784	2.618	1.000	9.596
At least one employee
t		0.917			0.542
t+1		0.906			0.649
t+2		0.843			0.664
At least two employees
t		0.234			0.259
t+1		0.301			0.369
t+2		0.363			0.406
Firm survives
t+1		0.883			0.915
t+2		0.759			0.824
Year of firm registration
2010		0.005			0.106
2011		0.023			0.108
2012		0.033			0.115
2013		0.369			0.171
2014		0.137			0.164
2015		0.223			0.151
2016		0.210			0.186
Sample size		4,154			42,182

Results, unemployment reentry: linear models

	Sample mean	Entrepreneurial sample				N

		(1)	(2)	(3)	(4)
Not unemployed after
6 months	0.768	0.197^*** (0.004)	0.191^*** (0.004)	0.023^*** (0.003)	0.020 (0.015)	48,259
12 months	0.652	0.335^*** (0.004)	0.326^*** (0.004)	0.066^*** (0.004)	0.086^*** (0.017)	45,692
18 months	0.577	0.353^*** (0.005)	0.343^*** (0.005)	0.052^*** (0.005)	0.064^*** (0.020)	43,406
24 months	0.515	0.381^*** (0.005)	0.371^*** (0.005)	0.057^*** (0.005)	0.080^*** (0.022)	40,508
36 months	0.416	0.354^*** (0.006)	0.342^*** (0.006)	0.020^*** (0.006)	0.073^*** (0.024)	34,530
Individual-based covariates		No	Yes	Yes	Yes	–
Episode based covariates		No	No	Yes	Yes	–
Individual fixed-effects		No	No	No	Yes	–

Nearest neighbor matching and linear model

	Matching			Linear model

	Sample mean	(1)	N	Sample mean	(2)	N
Not employed after
6 months	0.877	0.010^** (0.005)	21,404	0.768	0.023^*** (0.003)	48,259
12 months	0.775	0.055^*** (0.006)	21,404	0.652	0.066^*** (0.004)	45,692
18 months	0.673	0.066^*** (0.007)	21,404	0.577	0.052^*** (0.005)	43,406
24 months	0.576	0.095^*** (0.007)	21,404	0.515	0.057^*** (0.005)	40,508
36 months	0.405	0.058^*** (0.007)	21,404	0.416	0.020^*** (0.006)	34,530

Descriptive statistics of unemployment spells which ended in employment

Individual-level variables	Full sample				Entrepreneurial sample

	Grant		No grant		Grant		No grant

	M	SD	M	SD	M	SD	M	SD
Female	0.426	0.494	0.523	0.499	0.428	0.495	0.458	0.498
Age (years)
≤20	0.027	0.163	0.104	0.305	0.027	0.163	0.051	0.221
20–30	0.305	0.46	0.386	0.487	0.302	0.459	0.354	0.478
30–40	0.376	0.484	0.236	0.425	0.377	0.485	0.315	0.464
40–50	0.203	0.402	0.173	0.378	0.204	0.403	0.192	0.394
≥50	0.089	0.284	0.101	0.302	0.089	0.285	0.088	0.283
Education
Elementary or less	0.057	0.232	0.152	0.359	0.058	0.233	0.088	0.284
High school	0.685	0.464	0.671	0.47	0.688	0.463	0.708	0.455
University or more	0.258	0.437	0.177	0.382	0.254	0.435	0.204	0.403
Tenure
≤2 years	0.098	0.297	0.179	0.383	0.097	0.296	0.128	0.334
2–5 years	0.108	0.311	0.134	0.34	0.107	0.309	0.131	0.337
5–10 years	0.206	0.404	0.179	0.383	0.204	0.403	0.211	0.408
10–20 years	0.365	0.482	0.237	0.425	0.369	0.483	0.315	0.465
≥20 years	0.14	0.347	0.155	0.362	0.142	0.349	0.135	0.342
Unemployment episode variables Duration of unemployment episode
≤30 days	0.016	0.126	0.108	0.31	0.016	0.125	0.092	0.289
30–90 days	0.223	0.416	0.252	0.434	0.224	0.417	0.247	0.431
90–180 days	0.294	0.456	0.254	0.435	0.3	0.458	0.263	0.44
180 days–1 year	0.245	0.43	0.228	0.42	0.243	0.429	0.235	0.424
1–2 years	0.146	0.353	0.102	0.302	0.143	0.35	0.11	0.313
2–3 years	0.043	0.203	0.031	0.173	0.043	0.203	0.032	0.175
≥3 years	0.032	0.176	0.025	0.158	0.032	0.175	0.021	0.145
Status before unemployment
Employment	0.702	0.457	0.757	0.429	0.704	0.456	0.763	0.425
Education	0.036	0.185	0.083	0.275	0.034	0.182	0.047	0.211
Inactivity	0.241	0.428	0.128	0.334	0.239	0.427	0.17	0.376
Vocational training	0.008	0.092	0.02	0.138	0.009	0.092	0.008	0.09
Other	0.013	0.113	0.013	0.112	0.013	0.115	0.012	0.108
Employment exit reason
Not applicable	0.299	0.458	0.245	0.43	0.296	0.457	0.239	0.426
Expiration of contract	0.226	0.418	0.446	0.497	0.225	0.418	0.309	0.462
Expiration of seasonal contract	0.012	0.11	0.068	0.251	0.012	0.11	0.044	0.205
Dismissal (econ., tech., and org. reasons)	0.309	0.462	0.16	0.367	0.311	0.463	0.272	0.445
Dismissal	0.022	0.147	0.012	0.107	0.023	0.149	0.018	0.133
Worker resigned	0.03	0.171	0.016	0.125	0.03	0.171	0.017	0.131
Consensual resignation	0.085	0.279	0.043	0.203	0.084	0.278	0.054	0.227
Firm closure	0.015	0.121	0.009	0.097	0.016	0.124	0.043	0.203
Other	0.003	0.054	0.002	0.043	0.003	0.056	0.003	0.051
Unemployment exit reason
Job in-country	0.069	0.254	0.953	0.211	0.001	0.025	0.532	0.499
Job abroad	0	0	0.017	0.128	0	0	0.007	0.085
Opening of limited liability firm	0.337	0.473	0.003	0.056	0.362	0.481	0.135	0.341
Opening of unlimited liability firm	0.593	0.491	0.007	0.084	0.637	0.481	0.31	0.462
Other	0	0.016	0.02	0.139	0	0	0.016	0.126
Individual-based spell variables
Unemployment reentry	0.129	0.336	0.661	0.473	0.13	0.336	0.602	0.489
Days to unemployment reentry	976.68	621.54	555.73	681.740	962.59	612.40	699.48	718.49

Sample size	15,129		1,514,542		14,086		35,125

Results, unemployment re-entry: full sample

	Sample mean	Full sample				N

		(1)	(2)	(3)	(4)
Not unemployed after
6 months	0.617	0.297^*** (0.002)	0.273^*** (0.002)	0.052^*** (0.003)	0.013 (0.013)	1,497,186
12 months	0.428	0.474^*** (0.003)	0.448^*** (0.003)	0.112^*** (0.004)	0.095^*** (0.015)	1,424,800
18 months	0.371	0.471^*** (0.003)	0.445^*** (0.003)	0.103^*** (0.005)	0.077^*** (0.017)	1,338,826
24 months	0.314	0.490^*** (0.004)	0.464^*** (0.004)	0.111^*** (0.005)	0.104^*** (0.018)	1,255,829
36 months	0.251	0.442^*** (0.005)	0.419^*** (0.005)	0.087^*** (0.006)	0.112^*** (0.020)	1,066,772
Individual-based covariates		No	Yes	Yes	Yes	–
Episode-based covariates		No	No	Yes	Yes	–
Individual fixed-effects		No	No	No	Yes	–

Heterogeneous effects: COX PH model with the most comprehensive specification

	Full sample			Entrepreneurial sample

	Hazard ratio	Hazard ratio low	Hazard ratio high	Hazard ratio	Hazard ratio low	Hazard ratio high

	(1)	(2)	(3)	(4)	(5)	(6)
Age (years)
≤20	0.645	0.518	0.803	0.870	0.672	1.127
20–30	0.426	0.389	0.466	0.611	0.550	0.679
30–40	0.434	0.397	0.475	0.662	0.596	0.737
40–50	0.450	0.405	0.501	0.594	0.524	0.673
≥50	0.533	0.459	0.619	0.718	0.599	0.860
Gender
Female	0.474	0.440	0.510	0.670	0.615	0.730
Male	0.438	0.409	0.469	0.621	0.573	0.673
Education
Elementary or less	0.608	0.515	0.717	0.742	0.613	0.899
High school	0.450	0.424	0.477	0.622	0.581	0.666
University or more	0.399	0.354	0.449	0.655	0.568	0.755
Potential tenure
≤2 years	0.431	0.368	0.504	0.635	0.529	0.764
2–5 years	0.430	0.369	0.502	0.654	0.545	0.783
5–10 years	0.429	0.383	0.480	0.651	0.569	0.744
10–20 years	0.431	0.394	0.471	0.604	0.544	0.670
≥20 years	0.510	0.454	0.573	0.670	0.584	0.769
Not applicable	0.532	0.454	0.624	0.751	0.620	0.909
Unemployment duration
≤30 days	0.150	0.071	0.315	0.260	0.122	0.553
30–90 days	0.356	0.314	0.404	0.514	0.444	0.594
90–180 days	0.382	0.342	0.426	0.513	0.452	0.581
180 days–1 year	0.455	0.415	0.499	0.649	0.582	0.725
1–2 years	0.551	0.494	0.614	0.796	0.696	0.911
2–3 years	0.636	0.523	0.773	0.853	0.665	1.095
≥3 years	0.576	0.443	0.748	0.820	0.574	1.173
Status before unemployment
Working	0.446	0.419	0.473	0.641	0.597	0.688
Education	0.613	0.507	0.741	0.853	0.674	1.078
Inactivity	0.400	0.361	0.443	0.583	0.515	0.660
Vocational training	0.592	0.324	1.083	1.390	0.592	3.260
Other	0.416	0.269	0.641	0.423	0.260	0.688
Employment exit reason
Not applicable	0.440	0.403	0.480	0.614	0.553	0.682
Expiration of contract	0.472	0.427	0.521	0.659	0.586	0.741
Expiration of seasonal contract	0.458	0.327	0.640	0.703	0.480	1.029
Dismissal (econ., tech., and org. reasons)	0.501	0.456	0.551	0.684	0.612	0.764
Dismissal	0.687	0.486	0.971	0.989	0.640	1.529
Worker resigned	0.407	0.286	0.580	0.539	0.343	0.845
Consensual resignation	0.339	0.271	0.424	0.516	0.395	0.674
Firm closure	0.358	0.249	0.515	0.366	0.246	0.545
Other	0.387	0.106	1.414	0.358	0.022	5.809
Year of exit
2010	0.535	0.415	0.691	1.079	0.780	1.494
2011	0.606	0.527	0.697	0.847	0.717	1.000
2012	0.500	0.430	0.581	0.692	0.582	0.822
2013	0.461	0.422	0.503	0.705	0.628	0.791
2014	0.508	0.448	0.577	0.691	0.598	0.798
2015	0.451	0.386	0.526	0.577	0.483	0.688
2016	0.189	0.144	0.248	0.292	0.217	0.393
2017	0.023	0.006	0.091	0.037	0.009	0.151

eISSN:: 2193-9004
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Temas de la revista:: Business and Economics, Political Economics, Microeconomics, Macroecomics, Economic Policy, Mathematics and Statistics for Economists, Econometrics

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“Fine...I’ll do it myself”: Lessons from self-employment grants in a long recession period

Publicado en línea: 19 jun 2021

Páginas: -

Aceptado: 23 abr 2021

DOI: https://doi.org/10.2478/izajolp-2021-0006

Palabras clave
self-employment grant, evaluation, unemployment, firm performance

© 2021 Stjepan Srhoj et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Figure A1

Figure A2

Figure A3

Figure A4

Figure A5

Figure A6

Descriptive statistics on self-employment grants (in €)

Regression results for limited liability firms

Results, unemployment re-entry: episodes by individuals with at least two appearances in the dataset

OLS and Cox proportional hazard estimates of firm survival (unlimited liability firms)

Results, unemployment reentry: survival models

Descriptive statistics of limited liability firms

Results, unemployment reentry: linear models

Nearest neighbor matching and linear model

Descriptive statistics of unemployment spells which ended in employment

Results, unemployment re-entry: full sample

Heterogeneous effects: COX PH model with the most comprehensive specification

“Fine...I’ll do it myself”: Lessons from self-employment grants in a long recession period

Publicado en línea: 19 jun 2021

Páginas: -

Aceptado: 23 abr 2021

DOI: https://doi.org/10.2478/izajolp-2021-0006

Palabras claveself-employment grant, evaluation, unemployment, firm performance

© 2021 Stjepan Srhoj et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Figure A1

Figure A2

Figure A3

Figure A4

Figure A5

Figure A6

Descriptive statistics on self-employment grants (in €)

Regression results for limited liability firms

Results, unemployment re-entry: episodes by individuals with at least two appearances in the dataset

OLS and Cox proportional hazard estimates of firm survival (unlimited liability firms)

Results, unemployment reentry: survival models

Descriptive statistics of limited liability firms

Results, unemployment reentry: linear models

Nearest neighbor matching and linear model

Descriptive statistics of unemployment spells which ended in employment

Results, unemployment re-entry: full sample

Heterogeneous effects: COX PH model with the most comprehensive specification

Palabras clave
self-employment grant, evaluation, unemployment, firm performance