Correlation-and-regression analysis of the influence of macroeconomic factors on capital structure of Russian corporations under crisis conditions

Journal of Innovation and Entrepreneurship

A Systems View Across Time and Space

Table 16 Model 4: pooled least square method (LSM), used observations—169. Pre-crisis 2011–2013^a

	Beta	Std.Err.	t(159)	p level
const	− 152.709	17.25579	− 8.84970	0.000000
GTA	− 0.556	0.38681	− 1.43819	0.152346
NFATA	− 0.530	0.31226	− 1.69624	0.091798
ROA	− 1.726	1.20726	− 1.42942	0.154846
IPA	− 1.248	0.26269	− 4.75235	0.000004
CL	− 0.029	0.04759	− 0.60842	0.543780
FR	− 13.086	1.59171	− 8.22159	0.000000
GDPG	− 2.448	0.35147	− 6.96375	0.000000
INFL	21.183	2.31503	9.14999	0.000000
SMC	0.952	0.11576	8.22715	0.000000
Multiple R		0.96349367
R²		0.92832004
Adjusted R²		0.92426269
F (6,386)		228.7993
Standard error of estimate		2.249429579
Durbin-Watson d		1.057756
Serial Corr.		0.470982

^aThe model 4 is built taking into account the multicollinear variable SMC, without taking into account this variable, model 4 is similar to model 2