National open university of nigeria introduction to econometrics II eco 356



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Introduction to Econometrics ECO 356 Course Guide and Course Material
Introduction to Econometrics ECO 356 Course Guide and Course Material
INTRODUCTION TO ECONOMETRICS II

ECO 306

NOUN
105
Example
Table 1.1 Using the data in Table 1.1 above, an OLS regression of manufacturing output on GDP yields the following result (standard errors in parentheses
SEE. (5700) (0.013) This implies that manufacturing accounts for $194,000 out of every $1 million increase in GDP in the cross-section. The residuals from the regression and GDP are both ranked in Table 1.2 and Di and
are computed.




INTRODUCTION TO ECONOMETRICS II

ECO 306

NOUN
106
Table 1.2 The sum of the latter came to 1608. The rank correlation coefficient is thus

and the test statistic is
√ . This is above 2.58 and hence the null hypothesis of homoscedasticity is rejected at the 1 percent level.
3.1.3.5 The Goldfeld–Quandt Test
Goldfeld and Quandt (1965) are so far attributed with the most common formal test for heteroscedasticity. The test assumes that
i
u

the standard deviation of the probability distribution of the disturbance term in observation i, is about the size of X
i
It also assumes that the disturbance term is distributed and satisfies the other Gauss–
Markov conditions. The sizeof Xi ordersthei nobservationsinthesampleand separate regressions are carried out for the first n'and the last n' observations, the middle (n
2n') observations being dropped completely. If heteroscedasticity is present, and if the assumption regarding its nature is correct, the variance of uin the last n' observations will be more than that in the first n' and this will be reflected in the RSS in the two



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