Skip to main content

A Systems View Across Time and Space

Table 13 Heckman two-step procedures: coefficient estimates from selection bias model

From: Micro- and small-scale enterprises’ financing preference in line with POH and access to credit: empirical evidence from entrepreneurs in Ethiopia

Variable

First stage probit (Did the entrepreneurs prefer credit financing?)

Second stage Heckit (was the demand of entrepreneurs for accessing credit satisfied?)

Coef.

z

P >|z|

Coef.

z

P >|z|

Constant

 − 1.39181

 − 3.18

0.001

0.9660338

0.28

0.780

Business Experience

0.236284

3.62

0.000

0.7231269

2.22

0.026

Enterprise size

0.070358

0.39

0.698

0.7541259

1.70

0.090

Sectoral engagement

Manufacturing sector as a reference

Trade sector

 − 0.6156041

 − 1.60

0.111

0.3925442

0.33

0.743

Construction sector

 − 0.005312

 − 0.02

0.988

 − 0.3608476

 − 0.40

0.688

Service sector

 − 0.3226142

 − 0.87

0.383

0.8627145

0.83

0.406

Agriculture sector

 − 0.179787

 − 0.49

0.624

 − 0.0308395

 − 0.03

0.972

Collateral

0.8113396

4.88

0.000

0.1644788

0.17

0.867

Gender

0.6440517

3.79

0.000

 − 0.9507408

 − 1.08

0.282

Entrepreneurial interest

0.3448571

2.10

0.036

 

Education

Vocational and university as reference

Secondary

0.2664668

1.48

0.138

 − 0.8487665

 − 1.62

0.106

Elementary

 − 0.2235926

 − 0.98

0.328

 − 0.1442227

 − 0.27

0.789

No formal education

 − 0.2803545

 − 0.48

0.630

0.9305616

0.69

0.487

Land

 − 0.152858

 − 1.67

0.095

 

Interest rate

 

 − 0.9658867

 − 2.52

0.012

Loan repayment period

 

 − 0.8612572

 − 1.60

0.110

Financial report

 

1.588894

3.33

0.001

Lending procedure

 

0.3281761

0.69

0.491

Formal registration

 

0.5670824

1.46

0.144

Business plan

 

0.9532479

1.99

0.047

Location

Assosa Wereda as a reference

Bambasi

 

1.047531

1.81

0.071

Menge

 

0.7714974

1.21

0.225

Homosha

 

0.2143832

0.26

0.798

Number of institutions

 

0.0998386

0.21

0.832

Inverse mills ratio

 

 − 2.077474

 − 1.27

0.203

 

Number of obs = 296

LR chi2(13) = 70.10

Prob > chi2 = 0.0000

Pseudo R2 = 0.1719

Number of obs = 162

LR chi2(22) = 132.41

Prob > chi2 = 0.0000

Pseudo R2 = 0.6200