Tackling graduate unemployment in North Africa through employment subsidies: A look at the SIVP programme in Tunisia

Table 6 The effect of SIVP participation on labour market outcomes over time

		Joblessness	Unemployed^a	Private firm^a	Contract^b	Permanent contract^c	Earnings^b
Group 1 (Male, Rest of Country)
	β	−0.07	−0.08	0.206***	0.087*	−0.118*	0.055
	s.e.	0.039	0.041	0.044	0.042	0.059	0.064
	on support	918	871	871	608	484	532
Group 2 (Male, North East)
	β	−0.070*	−0.079*	0.187***	0.039	−0.169**	0.041
	s.e.	0.035	0.037	0.047	0.107	0.058	0.051
	on support	612	569	569	457	379	400
Group 3 (Female, Rest of Country)
	β	−0.101**	−0.135***	0.274***	0.048	−0.111	0.012
	s.e.	0.038	0.04	0.038	0.039	0.057	0.066
	on support	1197	1077	1077	605	508	561
Group 4 (Female, North East)
	β	−0.088*	−0.107*	0.199***	−0.024	−0.172**	−0.102
	s.e.	0.04	0.044	0.045	0.04	0.061	0.058
	on support	774	673	673	432	374	412
Average
	β	−0.085***	−0.104***	0.224***	0.043	−0.138***	0.006
	s.e.	0.019	0.02	0.021	0.031	0.029	0.03

* p < 0.05; ** p < 0.01; *** p < 0.001.
^a Conditional on being active ^b Conditional on being employed ^c Conditional on having a contract.
Notes: earnings regressions are in semi-log form.
Average β calculated using the following formula: $\bar{β} = \frac{Σ_{i = 1}^{4} n_{i} β_{i}}{Σ_{i = 1}^{4} n_{i}}$ , where i indicates the group number.
Average standard error calculated using the following formula: $\bar{σ} = \sqrt{\frac{Σ_{i = 0}^{4} n_{i} σ_{i}^{2} / n_{i}}{Σ_{i = 1}^{4} n_{i}}}$ , where i indicates the group number.