The present application concerns the relation between per capita consumption (LogConsumption), per capita income



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3 0.2916 1.0029 -15.02 0.0000

2 -0.5201 0.99184 -5.959 0.0000

1 -0.8343 0.98545 -4.398 0.0000

0 -1.241 0.97716


Unit-root tests (using KonsumYW.xls)

The sample is 1968 (3) - 2004 (4)


LogIncome: ADF tests (T=146, Constant+Trend; 5%=-3.44 1%=-4.02)

D-lag t-adf Y_1 t-DY_lag t-prob

4 -1.015 0.94469 2.277 0.0243

3 -0.7170 0.96068 -14.25 0.0000

2 -3.098 0.74524 -4.554 0.0000

1 -4.876** 0.60381 -1.877 0.0625

0 -6.558** 0.52986


Unit-root tests (using KonsumYW.xls)

The sample is 1968 (3) - 2004 (4)


LogWealth: ADF tests (T=146; 5%=-1.94 1%=-2.58)

D-lag t-adf Y_1 t-DY_lag t-prob

4 1.460 1.0006 10.51 0.0000

3 3.266 1.0018 -0.4676 0.6408

2 3.265 1.0017 -1.005 0.3165

1 3.109 1.0016 0.1864 0.8524

0 3.283 1.0016 -


Unit-root tests (using KonsumYW.xls)

The sample is 1968 (3) - 2004 (4)


LogWealth: ADF tests (T=146, Constant; 5%=-2.88 1%=-3.48)

D-lag t-adf Y_1 t-DY_lag t-prob

4 -0.5330 0.99689 10.50 0.0000

3 0.3499 1.0027 -0.4743 0.6360

2 0.3048 1.0023 -1.005 0.3167

1 0.1774 1.0013 0.1878 0.8513

0 0.2054 1.0015

Unit-root tests (using KonsumYW.xls)

The sample is 1968 (3) - 2004 (4)


LogWealth: ADF tests (T=146, Constant+Trend; 5%=-3.44 1%=-4.02)

D-lag t-adf Y_1 t-DY_lag t-prob

4 -3.128 0.94717 11.10 0.0000

3 -1.215 0.97217 -0.3153 0.7530

2 -1.275 0.97117 -0.8045 0.4224

1 -1.432 0.96811 0.3667 0.7144

0 -1.397 0.96935

EQ( 1) Modelling LogConsumption by OLS-CS (using KonsumYW.xls)

The estimation sample is: 1967 (2) to 2004 (4)



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