Skip to main content

Table 5 Test for selection bias after matching using propensity score test (used kernel for GM)

From: Impacts of climate-resilient push–pull technology on farmers’ income in selected counties in Kenya and Tanzania: propensity score matching approach

Variable

Mean

% Bias

% reduction

t-test

Treated

Control

Bias

t

p > t

Age of main farmer

52.3060

51.7570

4.2

73.6

0.42

0.674

Education level of main farmer

1.6224

1.5760

6.4

87.0

0.64

0.523

Farming experience of main farmer

20.4180

20.6820

 − 2.3

61.3

 − 0.22

0.825

Household size

6.2296

6.2300

0.0

99.9

0.00

0.999

Main occupation of the main farmer

1.3827

1.4353

 − 4.8

34.8

 − 0.47

0.641

Sex of the main farmer

0.4694

0.4798

 − 2.1

87.8

 − 0.21

0.836

Tropical Livestock Unit

3.6037

3.8268

 − 7.2

80.5

 − 0.73

0.464

Group membership

0.8520

0.8478

1.1

96.0

0.12

0.907

Number of extension services

2.8878

2.9706

 − 4.9

73.4

 − 0.46

0.644

County

4.8878

5.0432

 − 6.1

54.6

 − 0.61

0.544