Table 17.

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	$0.{01}^{}$	1
	$[-0.04;0.05]$	–
[3] Direct contact	$0.{38}^{\ast \ast \ast }$	$-0.{03}^{}$	1
	[0.34; 0.41]	$[-0.08;0.02]$	–
[4] Internet	$0.{33}^{\ast \ast \ast }$	$-0.{02}^{}$	$0.{44}^{\ast \ast \ast }$	1
	[0.30; 0.36]	$[-0.07;0.02]$	[0.40; 0.47]	–
[5] Agency (public or private)	$0.{20}^{\ast \ast \ast }$	$-0.{09}^{\ast \ast \ast }$	$0.{22}^{\ast \ast \ast }$	$0.{29}^{\ast \ast \ast }$	1
	[0.17; 0.24]	$[-0.14;-0.04]$	[0.19; 0.26]	[0.25; 0.33]	–

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 ${\chi }^2\text{test}=1515.{05}^{\ast \ast \ast }$

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