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
2.1.5.0 CONCLUSION
In conclusion, the concept of simple regression analyses and its estimation are explained.
2.1.6.0 TUTOR-MARKED ASSIGNMENT
1.) A researcher obtaineddata on the aggregate expenditure on services Y, and aggregate disposable personal income X, both measured in N billion at constant prices, for each of the US. states and fits the equation
̂
̂
̂ The researcher initially fits the equation using OLS regression analysis. However, suspecting that tax evasion causes both Y and X to be substantially underestimated, the researcher


INTRODUCTION TO ECONOMETRICS II

ECO 306

NOUN
52 adopts two alternative methods of compensating for the under-reporting: a) The researcher adds N billion to the data for Y in each state and N billion to the data for X. b) The researcher increases the figures for both Y and X in each state by 10 percent.
2.) Derive from first principles the least squares estimator of in the model

2.1.7.0 REFERENCES FURTHER READING
Dominick, S, & Derrick, R. (2002).Theory and problems of statistics and
econometrics.Schaum‟s Outline Series.
Dougherty, C. (2007). Introduction to econometrics. Oxford University Press, USA. N Gujaratti, D. (2004). Basic econometrics. McGraw-Hill, New York. Stock, J. H, & Watson, MW. (2015).Introduction to econometrics. Pearson. Smith, G. (2013). Econometric Principles and Data Analysis.Centre for Financial and Management Studies SOAS, University of London, London.

















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