Introduction to econometrics II eco 356 faculty of social sciences course guide course Developers: Dr. Adesina-Uthman



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Introduction to Econometrics ECO 356 Course Guide and Course Material
4.1.4.0 SUMMARY
In this unit, in other for the students to have understanding of the topic stochastic regressors and measurement errors, we explained conditions under which OLS estimator remain unbiased when the variable in a regression model possessing random components. A demonstration of the unbiasedness and consistency properties was also approached. Equally, the consequences of measurement errors, errors in descriptive and dependents variables were discussed.
4.1.5.0 CONCLUSION
The unit concludes that under general conditions the regression model remain unchanged even if the descriptive variables have stochastic components. Provided that these components are distributed independently of the disturbance term and considering measurement errors in the descriptive and dependent variables.
4.1.6.0 TUTOR-MARKED ASSIGNMENT
In a certain industry, firms relate their stocks of finished goods, Y, to their expected annual sales,
, according to a linear relationship

Actual sales,X, differ from expected sales by a random quantity u that is distributed with mean 0 and constant variance


INTRODUCTION TO ECONOMETRICS II

ECO 306

NOUN
117
uis distributed independently of An investigator has data on Y and X (but not on
) fora cross-section of firms in the industry. Describe the problems that would be encountered if OLS were used to estimate and
, regressing Y on X.

4.1.7.0 REFERENCES FURTHER READING
Dougherty, C. (2007). Introduction to econometrics. Oxford University Press, USA
Dominick, S, & Derrick, R. (2002).Theory and problems of statistics and
econometrics.Schaum‟s Outline Series. N Gujaratti, D. (2004). Basic econometrics. McGraw-Hill, New York. Stock, J. H, & Watson, MW. (2015).Introduction to econometrics. Pearson.

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