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Table 23 Model 4: pooled least square method (LSM), used observations—169. Post-crisis 2015–2017a

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 4.11920 4.285502 0/96119 0.337905
GTA − 0.36893 0.258380 − 1.42787 0.155279
NFATA 0.01378 0.499414 0.02559 0.979615
ROA 4.20871 1.836159 2.29213 0.023201
IPA − 0.20128 0.410986 − 0.48975 0.624978
CL − 0.06032 0.040458 − 1.49093 0.137950
FR − 2.65994 1.609085 − 1.65308 0.100276
INFL 0.04169 0.076940 0.54182 0.588699
SMC − 0.01467 0.092132 − 0.15926 0.873665
Multiple R 0.92391084
R2 0.85361124
Adjusted R2 0.84629180
F (6,160) 116.62
Standard error of estimate 3.2653
Durbin-Watson d 1.358871
Serial Corr. 0.318281
  1. aThe model 4 is constructed without the multicollinear variable GDPG
  2. Source: Authoring