Non-causality in Bivariate Binary Panel Data



C.3 One Lag Saturated Model with No Simultaneous De-
pendence

Usable Observations

6805

Degrees of Freedom

6757

Function Value

-2914.4933

Variable

Coeff.

Std Err

T-Stat

Signif.

Children bearing equation

ι

CONST

-4.8735379

0.65039905

-7.4931504

6.7239775e-14

2

AGE

0.31072124

0.053455339

5.8127261

6.1463588e-09

3

AGESQ

-0.65054205

0.10169710

-6.3968592

1.58605 40e-10

4

INCOME

0.24132310

0.57987937

0.41616085

0.67729230

5

HOURS

-14.763850

6.5982369

-2.2375447

0.025250759

6

EDU

-0.0018936892

0.0093267122

-0.20303931

0.83910431

7

Yl-I

-10.047147

49.970481

-0.20106165

0.84065037

8

AGE*Y1-1

1.3797660

5.6107123

0.24591636

0.80574698

9

AGESQ*Y1-1

-4.4478974

15.617096

-0.28480951

0.77579009

10

INCOME*Y1-1

8.0161405

47.043394

0.17039885

0.86469647

11

HOURS *Y1-1

-11.391349

122.62530

-0.092895586

0.92598651

12

EDU*Y1-1

-0.031549941

0.062175793

-0.50743126

0.61185226

13

Y2_l

4.2243331

0.97781866

4.3201601

1.5591607e-05

14

AGE*Y2-1

-0.31575156

0.074969275

-4.2117462

2.5340418e-05

15

AGESQ*Y2-1

0.49935018

0.13686845

3.6483951

0.00026388356

16

INCOME*Y2-1

1.6468916

2.0430136

0.80610898

0.42018002

17

HOURS *Y2_1

2.6111429

8.9176786

0.29280522

0.76967103

18

EDU*Y2-1

0.076113598

0.020455341

3.7209646

0.00019846326

19

Y1-1*Y2-1

11.009568

50.118805

0.21966940

0.82612864

20

AGE*Y1-1*Y2-1

-1.5035929

5.6192869

-0.26757717

0.78902480

21

AGESQ*Y1-1*Y2-1

4.7953336

15.629250

0.30681790

0.75898198

22

INCOME*Y1-1*Y2-1

-17.775702

51.021053

-0.34839936

0.72754028

23

HOURS *Y1-1*Y2-1

23.638582

130.62733

0.18096199

0.85639741

24

EDU*Y1-1*Y2-1

-0.030071537

0.10695451

-0.28116192

0.77858621

38



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