Table 4.

Diagonal and off-diagonal elements of the stochastic components of multivariate probit model (5) for the sample of unemployed individuals without previous job experience

	[1] Newspapers	[2] Informal network	[3] Direct contact	[4] Internet	[5] Agency (public or private)
[1] Newspapers	1
	–
[2] Informal network	$0.{14}^{\ast \ast \ast }$	1
	[0.11; 0.17]	–
[3] Direct contact	$0.{33}^{\ast \ast \ast }$	$0.{09}^{\ast \ast \ast }$	1
	[0.30; 0.35]	[0.06; 0.12]	–
[4] Internet	$0.{31}^{\ast \ast \ast }$	$0.{16}^{\ast \ast \ast }$	$0.{40}^{\ast \ast \ast }$	1
	[0.28; 0.33]	[0.14; 0.19]	[0.37; 0.42]	–
[5] Agency (public or private)	$0.{18}^{\ast \ast \ast }$	$-0.{02}^{}$	$0.{26}^{\ast \ast \ast }$	$0.{24}^{\ast \ast \ast }$	1
	[0.15; 0.20]	$[-0.05;0.01]$	[0.24; 0.30]	[0.22; 0.27]	–

In square brackets are the associated CIs. The hypothesis of the likelihood ratio test is that ${\widehat{\rho }}_{([2];[1])}={\widehat{\rho }}_{([3];[1])}={\widehat{\rho }}_{([4];[1])}={\widehat{\rho }}_{([5];[1])}={\widehat{\rho }}_{([3];[2])}={\widehat{\rho }}_{([4];[2])}={\widehat{\rho }}_{([5];[2])}={\widehat{\rho }}_{([4];[3])}={\widehat{\rho }}_{([5];[3])}={\widehat{\rho }}_{([5];[4])}$; The ${\chi }^2$ test = $2625.{56}^{\ast \ast \ast }$

${}^{\ast }P\text{value}<0.1$; ${}^{\ast \ast }P\text{value}<0.05$; ${}^{\ast \ast \ast }P\text{value}<0.01$