Poverty transition through targeted programme: the case of Bangladesh Poultry Model



Table 4. Multinomial logit model (Livelihood strategy #1 Agriculture includes livestock as comparison group.

#2 Livestock plus business/
skilled service___________________

#3 Livestock plus regular job

#4 Livestock plus wage labour

#5 Livestock plus other non-farm
(with international migration) jobs

Co-
efficient

Std.

Error

Sig.

Odds
ratio

Co-
efficient

Std.
Error

Sig.

Odds
ratio

Co-
efficient

Std.

Error

Sig.

Odds
ratio

Co-
efficient

Std.

Error

Sig.

Odds
ratio

Intercept

6.177

1.702

.00

2.207

2.882

.44

2.065

2.440

.40

5.418

1.749

.00

ed1

-.019

.106

.85

.98

.263

.147

.07

1.30

-.137

.166

.41

.87

.022

.103

.83

1.02

edu

.072

.101

.47

1.07

-.164

.146

.26

.85

.021

.163

.90

1.02

-.070

.101

.49

.93

deprat

-1.466

1.212

.23

.23

2.968

2.178

.17

19.45

-3.742

1.884

.05

.02

-2.110

1.277

.10

.12

adult

-.150

.659

.82

.86

1.689

1.008

.09

5.42

-1.990

1.072

.06

.14

-.052

.668

.94

.95

famS

.943

.523

.07

2.57

-1.222

.858

.15

.29

2.224

.833

.01

9.24

.894

.537

.10

2.44

Age

-.034

.022

.12

.97

-.017

.035

.62

.98

-.027

.036

.47

.97

-.027

.023

.24

.97

fhead

-1.097

1.403

.43

.33

-2.576

1.840

.16

.08

-2.210

1.793

.22

.11

-1.802

1.384

.19

.16

D11

-1.453

.767

.06

.23

-1.618

1.595

.31

.20

-1.481

1.223

.23

.23

-2.119

.906

.02

.12

Farm

-.404

.361

.26

.67

-.771

.560

.17

.46

-.771

.649

.23

.46

-.610

.343

.08

.54

lnyield

-.260

.051

.00

.77

-.020

.085

.82

.98

-.308

.099

.00

.73

-.137

.048

.00

.87

credit

.087

.518

.87

1.09

-.868

.940

.36

.42

1.757

.987

.08

5.79

.195

.534

.71

1.22

InBasset

-.059

.056

.30

.94

.005

.093

.95

1.01

-.013

.077

.86

.99

.069

.054

.20

1.07

lnlstk

-.730

.127

.00

.48

-.654

.173

.00

.52

-.466

.167

.01

.63

-.675

.131

.00

.51

distmkt

-.135

.309

.66

.87

-.736

.497

.14

.48

-.071

.396

.86

.93

.097

.313

.76

1.10

distroad

.135

.223

.55

1.14

-.451

.429

.29

.64

.374

.292

.20

1.45

-.036

.240

.88

.96

D1

1.582

1.356

.24

4.86

4.062

1.709

.02

58.07

2.883

1.534

.06

17.86

2.828

1.334

.03

16.91

tlength

.004

.036

.91

1.00

-.114

.064

.07

.89

-.002

.050

.97

1.00

-.062

.037

.10

.94

infoS

.254

.443

.57

1.29

-.618

.728

.40

.54

.320

.610

.60

1.38

.130

.456

.78

1.14

Model fit

Mean pred.

______prob.=0.313

% of correct
pred.=76.8

Mean pred.
prob.=0.154

% of correct

______pred.=88.7

Mean pred.
prob.=0.098

% of correct

______pred.=51.3

Mean pred.

________prob.=0.221

% of correct
pred.=35.2

Pseudo R square (Cox and Snell) = 0.748, Likelihood ratio Chi Square = 549.38 (sig = 0.00).

10



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