Explanatory Factors for Public Transportation Financing Needs in Spain

Table 7

Random effects GLS regression results (I).

Random-effects GLS regression	Number of obs	=	191
Group variable: IDcompany	Number of groups	=	34
R-sq:	Obs per group:
within = 0.419	min	=	3
between = 0.969	avg	=	5.6
overall = 0.967	max	=	6
corr(u_i, X) = 0 (assumed)	Wald chi2(17)	=	1561.64
	Prob > chi2	=	0.00

Source: authors’ own.