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

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

  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
  1. 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