Table 12.

Diagonal and off-diagonal elements of the stochastic components of multivariate probit model (5) for the sample of unemployed individuals in the main islands of Italy with previous job experience

	[1] Newspapers	[2] Informal network	[3] Direct contact	[4] Internet	[5] Agency (public or private)
[1] Newspapers	1
	–
[2] Informal network	$0.{02}^{}$	1
	$[-0.05;0.09]$	–
[3] Direct contact	$0.{33}^{\ast \ast \ast }$	$0.{05}^{}$	1
	[0.28; 0.39]	$[-0.02;0.13]$	–
[4] Internet	$0.{32}^{\ast \ast \ast }$	$0.{07}^{}$	$0.{45}^{\ast \ast \ast }$	1
	[0.26; 0.37]	$[-0.01;0.14]$	[0.40; 0.50]	–
[5] Agency (public or private)	$0.{24}^{\ast \ast \ast }$	$-0.{10}^{\ast \ast \ast }$	$0.{17}^{\ast \ast \ast }$	$0.{28}^{\ast \ast \ast }$	1
	[0.18; 0.29]	$[-0.18;-0.03]$	[0.11; 0.24]	[0.22; 0.34]	–

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 ${\chi }^2\text{test}=562.{08}^{\ast \ast \ast }$

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