Non-causality in Bivariate Binary Panel Data



С.5 Two Lag Unsaturated Model

Usable Observations

6805

Degrees of Freedom

6783

Function Value

-2962.6891

Variable

Coeff.

Std Error

T-Stat

Signif.

Children bearing equation

ι

CONST

-3.8604569

0.43182982

-8.9397647

3.8999996e-19

2

Yl-I

-0.30198455

0.27413569

-1.1015878

0.27064090

3

Y2_l

0.81396602

0.10537835

7.7242242

1.1253659e-14

4

Y1-1*Y2-1

-0.35560938

0.29868616

-1.1905787

0.23381901

5

Yl .2

0.52778634

0.14157346

3.7280033

0.00019300284

6

Y2_2

-0.26319774

0.10488934

-2.5092898

0.012097419

7

Y1_2*Y2_2

-0.52096131

0.16986227

-3.0669631

0.0021624558

8

AGE

0.21994753

0.034025508

6.4641954

1.0183923e-10

9

AGESQ

-0.50903854

0.061128191

-8.3273942

8.2641185e-17

10

INCOME

0.69075523

0.58219222

1.1864728

0.23543564

11

HOURS

-8.9174606

3.7135150

-2.4013531

0.016334567

12

EDU

0.014695627

0.0078375691

1.8750236

0.060789483

Marriage equation

ι

CONST

-2.4666318

0.42754514

-5.7692899

7.9606264e-09

2

Yl-I

-0.17238381

0.27786527

-0.62038629

0.53500349

3

Y2_l

3.3176873

0.15029129

22.075047

5.4906952e-108

4

Y1-1*Y2.1

-0.023736809

0.31445704

-0.075485062

0.93982878

5

Yl .2

-0.090833587

0.19300173

-0.47063614

0.63790060

6

Y2_2

0.011617392

0.15337995

0.075742575

0.93962390

7

Y1_2*Y2_2

-0.0091351286

0.24567103

-0.037184395

0.97033798

8

AGE

0.037996252

0.032418840

1.1720423

0.24118007

9

AGESQ

-0.11614342

0.057971474

-2.0034581

0.045128145

10

INCOME

0.040205691

0.63227099

0.063589333

0.94929723

11

HOURS

0.71454148

3.8742702

0.18443253

0.85367415

12

EDU

0.083478473

0.0092094117

9.0644740

1.2520688e-19

Correlation

ι

CONST

0.62253673

0.14633884

4.2540773

2.0991275e-05

2

Yl-I

-1.7417061

58.443183

-0.029801698

0.97622520

3

Y2_l

-1.4421480

0.58435671

-2.4679241

0.013589915

4

Y1-1*Y2.1

0.54487353

58.446087

0.0093226692

0.99256169

5

Yl .2

0.14190050

0.54791224

0.25898399

0.79564760

6

Y2_2

1.3170857

0.60339931

2.1827763

0.029052290

7

Y1_2*Y2_2

-0.58325856

0.78929053

-0.73896561

0.45992788

41



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