Table 10.

Diagonal and off-diagonal elements of the stochastic components of multivariate probit model (5) for the sample of unemployed individuals in central 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	$0.{10}^{\ast \ast \ast }$	1
	[0.04; 0.17]	–
[3] Direct contact	$0.{23}^{\ast \ast \ast }$	$0.{05}^{}$	1
	[0.17; 0.29]	$[-0.02;0.12]$	–
[4] Internet	$0.{33}^{\ast \ast \ast }$	$0.{25}^{\ast \ast \ast }$	$0.{32}^{\ast \ast \ast }$	1
	[0.28; 0.38]	[0.19; 0.31]	[0.26; 0.38]	–
[5] Agency (public or private)	$0.{09}^{\ast \ast \ast }$	$-0.{12}^{\ast \ast \ast }$	$0.{24}^{\ast \ast \ast }$	$0.{10}^{\ast \ast \ast }$	1
	[0.03; 0.14]	$[-0.19;-0.06]$	[0.18; 0.30]	[0.04; 0.16]	–

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 ${\chi }^2\text{test}=406.{65}^{\ast \ast \ast }$

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