Table 14.

Diagonal and off-diagonal elements of the stochastic components of multivariate probit model (5) for the sample of unemployed individuals in the northeast 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	$0.{19}^{\ast \ast \ast }$	1
	[0.15; 0.23]	–
[3] Direct contact	$0.{25}^{\ast \ast \ast }$	$0.{25}^{\ast \ast \ast }$	1
	[0.21; 0.28]	[0.20; 0.29]	–
[4] Internet	$0.{29}^{\ast \ast \ast }$	$0.{14}^{\ast \ast \ast }$	$0.{30}^{\ast \ast \ast }$	1
	[0.25; 0.32]	[0.10; 0.19]	[0.26; 0.33]	–
[5] Agency (public or private)	$0.{22}^{\ast \ast \ast }$	$0.{10}^{\ast \ast \ast }$	$0.{26}^{\ast \ast \ast }$	$0.{20}^{\ast \ast \ast }$	1
	[0.19; 0.26]	[0.06; 0.14]	[0.23; 0.30]	[0.17; 0.24]	–

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 ${\chi }^2\text{test}=1,177.{98}^{\ast \ast \ast }$

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