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Table 10 Quantile Regression (tau = 0.1, 20, 30, 40, 50).

From: The stock market capitalisation and financial growth nexus: an empirical study of western European countries

Variable Coefficient Std. error t-value Sig
Method: quantile regression (tau = 0.1)
 C 80.43 6.219 12.93 0.000
 SMC 0.290 0.040 7.209 0.000
 FDINI 0.325 0.184 1.765 0.078
 GDPPG  − 4.708 1.032  − 4.559 0.000
 STTR 0.083 0.017 4.749 0.000
 CPI  − 0.373 0.437  − 0.855 0.392
 Pseudo-R-2 0.126    
 Quasi-LR value 42.18    
 sig(Quasi-LR stat) 0.000    
Method: quantile regression (tau = 0.2)
 C 101.5 4.800 21.15 0.000
 SMC 0.246 0.030 7.971 0.000
 FDINI 0.225 0.177 1.267 0.205
 GDPPG  − 3.870 0.781  − 4.949 0.000
 STTR 0.050 0.017 2.907 0.003
 CPI  − 1.489 0.492  − 3.023 0.002
 Pseudo-R-2 0.108    
 Quasi-LR value 47.13    
 sig(Quasi-LR stat) 0.000    
Method: quantile regression (tau = 0.3)
 C 112.7 3.909 28.84 0.000
 SMC 0.233 0.027 8.412 0.000
 FDINI  − 0.021 0.242  − 0.089 0.928
 GDPPG  − 3.568 0.903  − 3.947 0.000
 STTR 0.053 0.026 2.016 0.044
 CPI  − 1.758 0.461  − 3.807 0.000
 Pseudo-R-2 0.116    
 Quasi-LR value 61.51    
 sig(Quasi-LR stat) 0.000    
Method: quantile regression (tau = 0.4)
 C 120.9 5.471 22.10 0.000
 SMC 0.203 0.031 6.545 0.000
 FDINI 0.134 0.262 0.512 0.608
 GDPPG  − 3.573 0.968  − 3.690 0.000
 STTR 0.088 0.074 1.178 0.239
 CPI  − 1.872 0.510  − 3.669 0.000
 Pseudo-R-2 0.129    
 Quasi-LR value 73.74    
 sig (Quasi-LR stat) 0.000    
Method: quantile regression (tau = 0.5) (median)
 C 123.3 5.511 22.37 0.000
 SMC 0.213 0.034 6.142 0.000
 FDINI 0.342 0.256 1.332 0.183
 GDPPG − 2.214 1.188 − 1.862 0.063
 STTR 0.088 0.072 1.215 0.225
 CPI − 1.949 0.542 − 3.595 0.000
 Pseudo-R-2 0.132    
 Quasi-LR value 74.09    
 sig(Quasi-LR stat) 0.000