Income Growth and Mobility of Rural Households in Kenya: Role of Education and Historical Patterns in Poverty Reduction



Table 4.Models Disaggregated by Agricultural Potential

(1)

General

(2)

Low Potential

(3)

High Potential

LID

0.05

0.18***

-0.03

LID*college education

(0.24)

-1.18*

(2.91)

-0.85**

(0.10)

-1.11*

Δ dtmrd

(1.92)
0.03

(2.29)

-0.31

(1.81)
0.76

Δ mdist

(0.02)

8.69**

(0.13)

0.20

(0.29)

11.46***

Δ agehd

(2.44)

1.13

(0.05)

0.79

(2.64)

3.51

Δ agehd2

(0.46)

-0.01

(0.25)

-0.00

(1.01)

-0.03

Δ cole

(0.69)

320.24**

(0.18)

191.45**

(1.29)

330.17**

Δ malehd

(2.30)

29.40

(2.34)

18.83

(2.23)

48.08

Δ padofe

(1.14)

106.20***

(0.77)
121.88***

(1.51)

91.16***

Δ ldcult

(5.52)
0.35

(4.57)

-0.27

(3.33)

0.98

Δ nlvstok

(0.39)

0.77*

(0.50)

0.92

(0.49)

0.76

Δ nmalad

(1.71)

12.29*

(1.41)

9.59

(1.57)

11.45

Δ nfemad

(1.92)

8.98*

(1.14)

15.47**

(1.36)

2.89

Δ month

(1.70)

-3.08*

(2.21)

-1.29

(0.43)

-4.22*

Δ grpmem

(1.72)

1.73

(0.57)
10.40

(1.86)

-5.51

year dummy

(0.17)

-7.04

(0.64)

16.46

(0.38)

-16.98

Observations

(0.42)

1324

(1.46)

430

(0.66)
894

Robust t statistics in parentheses

* significant at 10%; ** significant at 5%; ***

significant at 1%

Source: Authors calculation

22



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