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Table 13 Endogeneity check: regressions for the three risk classes

From: Fintech platforms: Lax or careful borrowers’ screening?

 

(1) A-B

(2) C-D

(3) E-F-G

Verification process

0.0408*** (0.0123)

0.0353** (0.0141)

0.0394*** (0.00796)

Term

0.601*** (0.0148)

0.549*** (0.0167)

0.532*** (0.00814)

Interest rate

18.60*** (0.271)

3.236*** (0.269)

7.754*** (0.166)

ln (annual income)

− 0.140*** (0.0103)

− 0.240*** (0.0147)

− 0.164*** (0.00776)

Loan purpose: debt consolidation

0.0391** (0.0175)

0.120*** (0.0204)

0.108*** (0.0116)

Loan purpose: credit card

0.0493*** (0.0188)

0.0514* (0.0286)

0.102*** (0.0139)

Loan purpose: home improvement

0.0822*** (0.0255)

0.0596* (0.0347)

0.118*** (0.0190)

Loan purpose: small business

0.662*** (0.0524)

0.283*** (0.0452)

0.370*** (0.0333)

Home mortaged

− 0.340*** (0.0113)

− 0.349*** (0.0155)

− 0.345*** (0.00839)

Home owned

− 0.127*** (0.0173)

− 0.215*** (0.0241)

− 0.197*** (0.0129)

year

0.350*** (0.0103)

0.193*** (0.0190)

0.272*** (0.00762)

3-digit zip

Yes

Yes

Yes

Constant

− 3.078*** (0.120)

0.579*** (0.167)

− 1.276*** (0.0887)

Observations

429,448

87,932

394,827

  1. This table reports the results of logistic regression for all risk-classes. The dependent variable is the probability of default in all columns. In the first column the regression results for the lowest risk-class (A-B), in the second column the medium risk-class (C-D) and in the third column the highest risk-class (E-F-G) are shown. Standard errors in parentheses
  2. *, ** and *** denote 1%, 5% and 10% levels of significant, respectively