Table 16.

Diagonal and off-diagonal elements of the stochastic components of multivariate probit model (5) for the sample of unemployed individuals in southern 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	$0.{07}^{\ast \ast \ast }$	1
	[0.02; 0.11]	–
[3] Direct contact	$0.{38}^{\ast \ast \ast }$	$-0.{03}^{}$	1
	[0.35; 0.41]	$[-0.07;0.02]$	–
[4] Internet	$0.{34}^{\ast \ast \ast }$	$0.{02}^{}$	$0.{40}^{\ast \ast \ast }$	1
	[0.31; 0.37]	$[-0.03;0.06]$	[0.37; 0.43]	–
[5] Agency (public or private)	$0.{18}^{\ast \ast \ast }$	$-0.{08}^{\ast \ast \ast }$	$0.{23}^{\ast \ast \ast }$	$0.{27}^{\ast \ast \ast }$	1
	[0.15; 0.21]	$[-0.12;-0.03]$	[0.20; 0.27]	[0.24; 0.31]	–

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 ${\chi }^2\text{test}=1,688.{97}^{\ast \ast \ast }$

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