Financial Innovation

Table 7 COVID-19 risk and the likelihood of loan default: monthly subsamples

From: COVID-19 pandemic risk and probability of loan default: evidence from marketplace lending market

Variables	DV = DEFAULT
Variables	(1)	(2)
Panel A: February listings
DAILY_CASES	− 0.024*** (0.004)
DAILY_DEATHS		− 0.901*** (0.137)
Controls	Yes	Yes
LR chi2	22,516.483	22,544.843
Prob > chi2	0.000	0.000
Pseudo-R-squared	0.250	0.250
N	125,546	125,546
Panel B: March listings
DAILY_CASES	0.001*** (0.000)
DAILY_DEATHS		0.007*** (0.001)
Controls	Yes	Yes
LR chi2	17,501.061	17,280.770
Prob > chi2	0.000	0.000
Pseudo-R-squared	0.101	0.100
N	200,508	200,508
Panel C: April listings
DAILY_CASES	0.000** (0.000)
DAILY_DEATHS		− 0.000 (0.001)
Controls	Yes	Yes
LR chi2	29,894.550	29,888.341
Prob > chi2	0.000	0.000
Pseudo-R-squared	0.208	0.208
N	162,099	162,099
Panel D: May listings
DAILY_CASES	0.006*** (0.000)
DAILY_DEATHS		0.061*** (0.001)
Controls	Yes	Yes
LR chi2	26,130.763	26,350.926
Prob > chi2	0.000	0.000
Pseudo-R-squared	0.348	0.351
N	176,047	176,047
Panel E: June listings
DAILY_CASES	0.008*** (0.000)
DAILY_DEATHS		0.087*** (0.002)
Controls	Yes	Yes
LR chi2	12,940.095	13,211.923
Prob > chi2	0.000	0.000
Pseudo-R-squared	0.428	0.437
N	123,614	123,614

Table presents the results of regression analyses based on five panels (for each month from February to June 2020). Results are for logit regression analysis for the likelihood of loan default (DEFAULT). All model specifications employ robust standard errors in parentheses (*p < 0.10, **p < 0.05, ***p < 0.01)

Back to article page