Table 5 Regression by age groups.

From: Decoding the crypto investor profile: how financial literacy, investment experience and age shape cryptocurrency investment decisions

 

(1)

(2)

(3)

Variables

Crypto investment

Crypto investment

Crypto investment

Investment experience

0.232**

0.094

0.079***

 

(0.111)

(0.068)

(0.023)

Investment knowledge

0.107***

0.049**

0.034***

 

(0.029)

(0.022)

(0.009)

Financial capability

−0.030

−0.032

−0.012

 

(0.034)

(0.027)

(0.012)

Math skills

−0.039

−0.018

0.003

 

(0.027)

(0.022)

(0.009)

Financial knowledge

0.029

0.048

0.004

 

(0.041)

(0.031)

(0.012)

Financial education

0.027

−0.036

−0.035*

 

(0.071)

(0.045)

(0.019)

Market good

−0.018

0.012

0.001

 

(0.022)

(0.014)

(0.006)

Market regulated

−0.012

−0.001

−0.003

 

(0.020)

(0.011)

(0.005)

Gender

0.154**

0.202***

0.054***

 

(0.073)

(0.048)

(0.019)

Education level

−0.173**

−0.129**

−0.026

 

(0.075)

(0.056)

(0.020)

Marital status

−0.001

0.028

−0.031

 

(0.075)

(0.052)

(0.022)

Income

0.025

−0.011

−0.016***

 

(0.020)

(0.014)

(0.005)

Employment status

0.028

0.158**

0.037**

 

(0.110)

(0.072)

(0.019)

Constant

0.110

−0.122

0.022

 

(0.255)

(0.187)

(0.085)

Observations

205

494

1111

R-squared

0.151

0.120

0.060

  1. This table reports results from the robustness check. Columns 1, 2, and 3 present the regression model on the age groups 18–34, 35–44, and above 44, respectively.
  2. Standard errors in parentheses.
  3. ***p < 0.01, **p < 0.05, *p < 0.1.