Table 5 Logit model for a... | Emerald Publishing

Table 5

Logit model for a confrontational policy

	Coefficient	Standard error	Wald test	Upper confidence interval limit	Lower confidence interval limit	p-value
Organization of accounts receivable management	0.276141	0.086461	10.20058	0.10668	0.445601	0.001404***
Assessment of counterparty risk	0.156013	0.045718	11.64540	0.06641	0.245618	0.000644***
Determining payment terms for the counterparty (legal)	−0.257242	0.175258	2.15441	−0.60074	0.086258	0.142161
Determining payment terms for the counterparty (collaterals)	−0.001599	0.164605	0.00009	−0.32422	0.321021	0.992248
Decision-making	−0.001555	0.170245	0.00008	−0.33523	0.332119	0.992713
Collection of overdue amounts receivable	0.312657	0.120197	6.76633	0.07708	0.548238	0.009289***
LR χ²(6) = 35.093 Prob > χ² = 0.0000

	Coefficient	Standard error	Wald test	Upper confidence interval limit	Lower confidence interval limit	p-value
Organization of accounts receivable management	0.276141	0.086461	10.20058	0.10668	0.445601	0.001404***
Assessment of counterparty risk	0.156013	0.045718	11.64540	0.06641	0.245618	0.000644***
Determining payment terms for the counterparty (legal)	−0.257242	0.175258	2.15441	−0.60074	0.086258	0.142161
Determining payment terms for the counterparty (collaterals)	−0.001599	0.164605	0.00009	−0.32422	0.321021	0.992248
Decision-making	−0.001555	0.170245	0.00008	−0.33523	0.332119	0.992713
Collection of overdue amounts receivable	0.312657	0.120197	6.76633	0.07708	0.548238	0.009289***
LR χ²(6) = 35.093 Prob > χ² = 0.0000

Note(s): *, **, *** – significance level of 10%, 5% and 1%

Source(s): Authors’ own elaboration