Table 11.

Diagonal and off-diagonal elements of the stochastic components of multivariate probit model (5) for the sample of unemployed individuals in southern 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	$0.{12}^{\ast \ast \ast }$	1
	[0.07; 0.17]	–
[3] Direct contact	$0.{38}^{\ast \ast \ast }$	$-0.{01}^{}$	1
	[0.33; 0.42]	$[-0.07;0.05]$	–
[4] Internet	$0.{29}^{\ast \ast \ast }$	$0.{15}^{\ast \ast \ast }$	$0.{42}^{\ast \ast \ast }$	1
	[0.25; 0.33]	[0.10; 0.21]	[0.38; 0.46]	–
[5] Agency (public or private)	$0.{14}^{\ast \ast \ast }$	$-0.{06}^{}$	$0.{28}^{\ast \ast \ast }$	$0.{27}^{\ast \ast \ast }$	1
	[0.10; 0.19]	$[-0.05;0.06]$	[0.23; 0.33]	[0.23; 0.32]	–

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 ${\chi }^2\text{test}=903.{98}^{\ast \ast \ast }$

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