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ECONOMETRICS I
To quantify relationships between economic variables by means of statistical techniques.
Nature, meaning definition and scope of econometrics, regression model, reasons for inclusion of error term, assumptions of error term, principle of least square, Guass- Markov Theorem.
Multiple regression model, Estimation, Interpretation and testing of the coefficients, Estimation of elasticities, Relation between simple and multiple regression coefficients, Concepts of partial coefficients, coefficient of determination and adjusted coefficient of determination.
Relaxing the assumptions of classical model, the problem of auto correlation, consequences of auto-correlation, Durbin Waston test, Remedial measures of auto-correlation, Multicolinearity- Consequences and remedial measures.
Nature, Test, Consequences and remedial steps for the problems of hetroscedasticity and errors in variables.
Regression models with dummy variables, uses of dummy variable, stability of regression model, logit model – concept and estimation.
1. Johnston.J.(1991) Econometric Methods. McGraw Hill Book Co.London
2. Gupta, D.B. Consumption Pattern in India, TMGH.
3. Mahender Reddy, J.Applied Econometrics (Mimeo).
4. ICSSR (1977); Survey of Research in Economics, Vol. 7.
5. Krishna, K.L. (1999): Economic Application in India, OUP, Delhi.
6. Gujarati, D. (1999): Essentials of Econometrics, Second Edition, McGraw Hill.
7. Gujarati, D. (2002): Basic Econometrics, Third Edition, McGraw Hill.
8. Koutsoyiannis, A.(1977): Theory of Econometrics, 2nd Edition, McMillan, London.
9. Maddala, G.S.(2002): Introduction to Econometrics, McMillan, London.
