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UNIVERSITÄT POTSDAM - Prof. Dr. Paul JJ Welfens

UNIVERSITÄT POTSDAM - Prof. Dr. Paul JJ Welfens

UNIVERSITÄT POTSDAM - Prof. Dr. Paul JJ Welfens

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38<br />

2<br />

R adj.<br />

0.9970 0.9967 0.9969 0.9966<br />

DW-test 2.0108 2.1136 -- --<br />

EG-test (28.6) b) (28.5) -- --<br />

-5.3968 -5.6735 -- --<br />

(0.0859) c) (0.0261) -- --<br />

F-test of the 1.4396<br />

restriction (0.2345) c)<br />

a)<br />

Empirical t-values are in brackets, but statistical conclusions on the basis of usual t-tests are only<br />

permitted if the third step of the Engle/Yoo procedure has been applied.<br />

b)<br />

Number of observations available after forming lags and first differences and number of I(0) variables<br />

in brackets.<br />

c)<br />

Significance levels in brackets.<br />

The estimation results for the unrestricted and restricted version of this long-term production<br />

function are reported in Table 8. A view of the t-values calculated for the estimates<br />

of the third step of the Engle / Yoo procedure shows that all coefficients of the<br />

unrestricted as well as the restricted estimation are unequal to zero at a significance<br />

level of 1 %. Therefore, all three indicator variables have a highly significant power of<br />

explanation. Furthermore, the magnitudes of their coefficients verify that the factors<br />

approximated by the indicator variables make contributions to real gross value-added<br />

that cannot be neglected. The estimates of the coefficients of the factors capital and<br />

labor also seem to be very reliable. They are rather similar to the estimates in<br />

SCHRÖER / STAHLECKER (1996) where a long-term Cobb-Douglas production<br />

function is estimated using quarterly data from 1970 until 1989. SCHRÖER /<br />

STAHLECKER (1996) introduced after a data mining process a dummy variable which<br />

changes the slope of the time trend to approximate a change of technical progress. The<br />

R 2 s of 0.9977 and 0.9974 for the first step of the Engle / Granger procedure and<br />

0.9976 and 0.9966 for the third step of the Engle / Yoo procedure indicate a very good<br />

fitting of the models to the observed data. The DW test statistics suggest that the presence<br />

of first order autocorrelation can be excluded. Turning to the EG test statistics it<br />

can be seen that the unrestricted as well as the restricted production function forms a<br />

cointegration relation at significance levels of 8.59 % and 2.61 %. Therefore the sum of<br />

the partial production elasticities is now permitted beyond all usual significance levels<br />

as the F-test shows. Based on these estimation and testing results, the restricted product<br />

function containing all three indicator variables is superior to other augmented production<br />

functions with only one or two indicator variables which had been considered during<br />

the empirical investigation, but are not reported here due to the limitation of space.

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