Table 9 Bootstrap quantile regression.

From: Financial technology and banking performance in developing countries: evidence from an advanced quantile regression approach

Variables

FT

EG

FTEG

CAD

ING

GDP

_cons

Lower Quantile

0.1

z-stats

0.106a

0.227a

0.116a

0.21a

0.036c

−0.247a

2.196a

3.07

6.78

4.72

3.59

1.65

−7.48

7.84

0.2

0.126a

0.249a

0.109a

0.182a

0.038a

−0.248a

2.236a

z-stats

5.12

11.50

6.80

4.71

3.06

−11.14

11.98

0.3

z-stats

0.151a

0.231a

0.113a

0.209a

0.048a

−0.222a

2.161a

4.98

7.58

7.02

9.14

3.54

−10.16

12.43

Middle Quantile

0.4

z-stats

0.122a

0.212a

0.101a

0.207a

0.058a

−0.242a

2.388a

3.17

8.46

5.39

6.03

2.44

−7.98

10.43

0.5

z-stats

0.14a

0.202a

0.082a

0.224a

0.076a

−0.224a

2.343a

4.43

7.39

6.68

6.25

5.15

−13.32

14.26

0.6

z-stats

0.11a

0.178a

0.071a

0.232a

0.077a

−0.244a

2.624a

3.13

5.26

3.44

9.70

5.21

−7.54

8.67

Higher Quantile

0.7

z-stats

0.086b

0.200a

0.056a

0.207a

0.081a

−0.293a

3.074a

2.45

3.91

3.15

5.38

2.99

−6.93

9.69

0.8

z-stats

0.036

0.114c

0.062a

0.188a

0.035

−0.308a

3.354a

0.68

1.96

3.42

5.13

0.85

−10.47

11.93

0.9

z-stats

0.039

0.13b

0.061b

0.182a

0.037

−0.331a

3.715a

0.87

2.32

2.20

3.98

1.45

−10.19

10.44

  1. Source: The authors’ estimations. The coefficient is significant at 1%a, 5%b and 10%c.