Dependent Variable: LOG(Y)

Method: Least Squares

Sample: 1996 2005

Included observations: 10

LOG(Y)=C(1)+C(2)*LOG(K)+C(3)*LOG(L)+C(4)*LOG(R)+C(5)*LOG(I)

Coefficient

Std. Error

t-Statistic

Prob.

C(1)

4.962250

1.584043

3.132649

0.0259

C(2)

0.725747

0.152097

4.771607

0.0050

C(3)

-0.120749

0.148705

-0.812004

0.4537

C(4)

0.110975

0.031710

3.499706

0.0173

C(5)

-0.080599

0.058464

-1.378620

0.2265

R-squared

0.996372

Mean dependent var

16.72940

Adjusted R-squared

0.993469

S.D. dependent var

0.317361

S.E. of regression

0.025647

Akaike info criterion

-4.181914

Sum squared resid

0.003289

Schwarz criterion

-4.030621

Log likelihood

25.90957

Durbin-Watson stat

2.446756