Non-causality in Bivariate Binary Panel Data



С.6 One Lag Saturated Model

Usable Observations

6805

Degrees of Freedom

6753

Function Value

-2894.4002

Variable

Coeff.

Std Error

T-Stat

Signif

Children bearing equation

ι

CONST

-4.8995224

0.66206553

-7.4003587

1.3581707e-13

2

AGE

0.31243338

0.054773479

5.7040996

1.1695964e-08

3

AGESQ

-0.65308305

0.10501907

-6.2187089

5.0126219e-10

4

INCOME

0.25935497

0.57931629

0.44769149

0.65437587

5

HOURS

-14.755512

6.5331291

-2.2585673

0.023910311

6

EDU

-0.0019310214

0.0092950440

-0.20774742

0.83542619

7

Yl-I

-10.378821

58.787881

-0.17654694

0.85986427

8

AGE*Y1-1

1.4146545

6.6005603

0.21432340

0.83029487

9

AGESQ*Y1-1

-4.5376286

18.387923

-0.24677223

0.80508451

10

INCOME*Y1-1

7.8477387

55.510797

0.14137319

0.88757513

11

HOURS *Y1-1

-10.069800

142.09459

-0.070866881

0.94350370

12

EDU*Y1-1

-0.031486580

0.074604693

-0.42204557

0.67299176

13

Y2_l

4.2552770

0.98626230

4.3145490

1.5992905 e-05

14

AGE*Y2-1

-0.31757682

0.075951888

-4.1812893

2.8986072e-05

15

AGESQ*Y2-1

0.50206420

0.13940484

3.6014833

0.00031640677

16

INCOME*Y2-1

1.6456195

2.0432482

0.80539383

0.42059245

17

HOURS *Y2_1

2.5383113

8.8713416

0.28612486

0.77478249

18

EDU*Y2-1

0.075900742

0.020445777

3.7122944

0.00020538886

19

Y1-1*Y2-1

11.402111

58.907510

0.19355955

0.84652078

20

AGE*Y1-1*Y2-1

-1.5472339

6.6074236

-0.23416599

0.81485612

21

AGESQ*Y1-1*Y2-1

4.8979175

18.397419

0.26622851

0.79006322

22

INCOME*Y1-1*Y2-1

-18.132995

58.771818

-0.30853214

0.75767745

23

HOURS *Y1-1*Y2-1

24.095482

148.80461

0.16192699

0.87136335

24

EDU*Y1-1*Y2-1

-0.024302196

0.11818617

-0.20562639

0.83708276

42



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