Non-causality in Bivariate Binary Panel Data



Marriage equation

ι

CONST

-4.3763693

0.55324962

-7.9102978

2.5677386e-15

2

AGE

0.21418401

0.043139929

4.9648671

6.8748145e-07

3

AGESQ

-0.51795580

0.079614934

-6.5057619

7.7300593e-ll

4

INCOME

-0.51145351

0.74056524

-0.69062586

0.48980069

5

HOURS

17.289871

5.4319801

3.1829777

0.0014576886

6

EDU

0.089312581

0.010703995

8.3438546

7.1907376e-17

7

Yl-I

-3.7919139

14.189318

-0.26723722

0.78928652

8

AGE*Y1-1

0.35270333

1.3112221

0.26898823

0.78793874

9

AGESQ*Y1-1

-0.87365174

2.7940551

-0.31268236

0.75452200

10

INCOME*Y1-1

-0.43636696

42.413562

-0.010288383

0.99179120

11

HOURS *Y1-1

-18.759856

83.030988

-0.22593801

0.82124963

12

EDU*Y1-1

0.019435893

0.24358026

0.079792561

0.93640224

13

Y2_l

6.8288263

1.3384097

5.1021943

3.3573779e-07

14

AGE*Y2-1

-0.29792580

0.093888851

-3.1731755

0.0015078134

15

AGESQ*Y2-1

0.66746225

0.16147712

4.1334787

3.5731335e-05

16

INCOME*Y2-1

0.74751274

2.4496238

0.30515409

0.76024879

17

HOURS *Y2_1

-29.203653

9.3341623

-3.1286849

0.0017559047

18

EDU*Y2-1

-0.033526863

0.026827225

-1.2497328

0.21139718

19

Y1-1*Y2-1

-0.38054667

14.415970

-0.026397576

0.97894023

20

AGE*Y1-1*Y2-1

-0.077200587

1.3240386

-0.058306899

0.95350417

21

AGESQ*Y1-1*Y2-1

0.32627412

2.8128047

0.11599601

0.90765570

22

INCOME*Y1-1*Y2-1

4.3701346

45.419422

0.096217309

0.92334798

23

HOURS *Y1-1*Y2-1

7.7221368

92.321434

0.083644030

0.93333946

24

EDU*Y1-1*Y2-1

0.045841159

0.25406993

0.18042733

0.85681710

Correlation

ι

CONST

0.70090188

0.13873026

5.0522640

4.3660371e-07

2

Yl-I

-3.0617732

58905.697

-5.1977539e-05

0.99995853

3

Y2_l

-0.42309825

0.25439364

-1.6631636

0.096279688

4

Y1-1*Y2.1

1.8801661

58905.696

3.1918239e-05

0.99997453

43



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