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Table 4 Final two-level negative binomial regression model

From: Application of two level count regression modeling on the determinants of fertility among married women in Ethiopia

Solutions for Fixed Effects

Variable

Categories

\(\hat{\beta}\) 

SE

\(\text{Exp}(\hat{\beta}))\) 

Pr >|t|

Lower

Upper

Intercept

 

1.4474

0.1063

4.25

 < .0001

1.2389

1.6558

Contraception use

No

0.1747

0.0393

1.19

 < .0001

0.09764

0.2517

modern method

0.1500

0.0185

1.16

 < .0001

0.1138

0.1862

traditional method

0

     

Residence

Rural

0.1322

0.0344

1.14

0.0001

0.06482

0.1996

Urban

0

     

Wealth index

Poorest

0.005339

0.0343

1.00

0.8763

-0.06190

0.07258

Poorer

0.01027

0.0353

1.01

0.7713

-0.05900

0.07955

Middle

0.02772

0.0355

1.03

0.4346

-0.04182

0.09726

Richer

0.07319

0.0347

1.08

0.0352

0.005083

0.1413

Richest

0

     

Religion

Catholic

0.03312

0.1351

1.03

0.8064

-0.2318

0.2980

Muslin

0.09213

0.0872

1.10

0.2905

-0.07872

0.2630

Orthodox

0.02384

0.0881

1.02

0.7867

-0.1489

0.1965

Other

0.07837

0.1381

1.08

0.5704

-0.1924

0.3491

Protestant

0.08597

0.0887

1.09

0.3325

-0.08792

0.2599

Traditional

0

     

Education level

No education

0.4157

0.0460

1.52

 < .0001

0.3256

0.5058

Primary

0.1788

0.0467

1.20

0.0001

0.08734

0.2703

Higher

-0.0514

0.0712

0.95

0.4705

-0.1911

0.08824

Secondary

0

     

Age at first birth

 

-0.0016

0.0004

0.10

 < .0001

-0.00248

-0.00102

Proceeding birth interval

 

-0.0121

0.0016

0.99

 < .0001

-0.01521

-0.00897

Solutions for random effects

Covariance Parameter

Estimate

Intercept (Uoj)

0.06512

Residence

0.08982

Scale (eij)

0.05255