Non-causality in Bivariate Binary Panel Data

Marriage equation

ι

CONST

-4.3051076

0.55604436

-7.7423815

9.7571725e-15

2

AGE

0.20807817

0.043255330

4.8104633

1.5058088e-06

3

AGESQ

-0.50483522

0.079661763

-6.3372338

2.3392682e-10

4

INCOME

-0.57009967

0.74761720

-0.76255557

0.44572849

5

HOURS

17.061523

5.4778995

3.1146105

0.0018418798

6

EDU

0.089131232

0.010881296

8.1912332

2.5856309e-16

7

Yl-I

-3.7828244

12.403857

-0.30497163

0.76038776

8

AGE*Y1-1

0.35047798

1.1361518

0.30847814

0.75771853

9

AGESQ*Y1-1

-0.86860562

2.4639995

-0.35251859

0.72444938

10

INCOME*Y1-1

-0.74514310

41.524962

-0.017944462

0.98568316

11

HOURS *Y1-1

-18.635797

77.077420

-0.24178024

0.80895045

12

EDU*Y1-1

0.021238654

0.22577481

0.094070080

0.92505349

13

Y2_l

6.7878177

1.3462539

5.0420040

4.6068155e-07

14

AGE*Y2-1

-0.29346610

0.094372375

-3.1096610

0.0018730217

15

AGESQ*Y2-1

0.65689023

0.16220333

4.0497949

5.1262538e-05

16

INCOME*Y2-1

0.80757461

2.4524051

0.32929902

0.74192969

17

HOURS *Y2_1

-29.132226

9.3311771

-3.1220312

0.0017960793

18

EDU*Y2-1

-0.033579455

0.026885961

-1.2489587

0.21168018

19

Y1-1*Y2-1

-0.34148454

12.674678

-0.026942265

0.97850578

20

AGE*Y1-1*Y2-1

-0.081892745

1.1516904

-0.071106561

0.94331295

21

AGESQ*Y1-1*Y2-1

0.33553799

2.4862817

0.13495574

0.89264687

22

INCOME*Y1-1*Y2-1

4.2785058

44.739994

0.095630451

0.92381408

23

HOURS *Y1-1*Y2-1

8.0711418

87.344049

0.092406317

0.92637522

24

EDU*Y1-1*Y2-1

0.046845289

0.23730446

0.19740585

0.84350995