Table 9.

Diagonal and off-diagonal elements of the stochastic components of multivariate probit model (5) for the sample of unemployed individuals in the northeast of Italy 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	$0.{27}^{\ast \ast \ast }$	1
	[0.19; 0.34]	–
[3] Direct contact	$0.{21}^{\ast \ast \ast }$	$0.{24}^{\ast \ast \ast }$	1
	[0.13; 0.30]	[0.15; 0.33]	–
[4] Internet	$0.{24}^{\ast \ast \ast }$	$0.{24}^{\ast \ast \ast }$	$0.{30}^{\ast \ast \ast }$	1
	[0.17; 0.32]	[0.15; 0.32]	[0.21; 0.38]	–
[5] Agency (public or private)	$0.{16}^{\ast \ast \ast }$	$0.{09}^{\ast \ast \ast }$	$0.{25}^{\ast \ast \ast }$	$0.{20}^{\ast \ast \ast }$	1
	[0.09; 0.22]	[0.01; 0.17]	[0.16; 0.33]	[0.12; 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 ${\chi }^2\text{test}=230.{29}^{\ast \ast \ast }$

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