Syllabus (ECONOMICS)
Course Type: MAJ-13
Semester: 7
Course Code: BECOMAJ13T
Course Title: Econometrics - I
(L-P-Tu): 5-0-1
Credit: 6
Practical/Theory: Theory
Course Objective:
Learning Outcome: Course Objective: To Provide Basic Knowledge in Data Handling with econometric methods. To empower the students in analyzing the data behaviour with econometric methods. To understand the data handling problems and econometric interpretation. To handle th
- Two Variable CLRM: (15)
- Estimation
- Gauss-Markov Theorem
- alternative measures of goodness of fit
- Inference
- Prediction
- Violation of CLRM: (15)
- Nature of the problem,
- Consequences,
- Detection,
- Possible solutions
- Autocorrelation
- Nature of the problem,
- Consequences,
- Detection
- Possible solutions
- Problem due to Nature of Regressors: (15)
- Multicollinearity
- Nature of the problem,
- Consequences,
- Detection of multicollinearity, and
- Possible solutions.
- Regression with Qualitative Regressors: (15)
- Dummy Independent Variables –Use; Classification system;
- Dummy Variable Trap;
- Interpretation of estimated coefficients;
- Class-effect and Interaction-effect;
- Testing structural stability of regression models comparing two regressions,
- Estimating seasonal effects, ANOVA vs ANCOVA, piecewise linear regressions
- Computer Application: (Open Source Software) (30)
- Basic Regression Analysis
- Factor Analysis
Reading References:
- Johnston, J., 1977 and 1984, Econometric Methods, 2nd and 3rd Editions, McGraw-Hill.
- Johnston, J. and Dinardo, J., 1997, Econometric Methods, 4th Edition, McGraw-Hill International Edition.
- Maddala, G.S., 1988, Introduction to Econometrics, Macmillan, London.
- Maddala, G.S., 1997, Econometrics, McGraw Hill, New York.
- Gujarati, D.N., 1995, Basic Econometrics, 4th Edition, McGraw Hill, New Delhi.
- Wooldrige, J.M., 2009, Econometrics, Cengage Learning, India Edition
- Nachane, D.M., 2006, Econometrics: Theoretical Foundations and Empirical Perspectives, Oxford University Press, New Delhi.
- Greene, W.H., 2000, Econometric Analysis, Prentice Hall International.
- Desai, M., 1976, Applied Econometrics, P. Allen.
- Klein, L.R., 1975, A Text Book of Econometrics, Prentice Hall, New Delhi.
- Intrilligator, M.D., 1978, Econometric Methods, Techniques and Applications, Prentice Hall, New Jersey.
- A. Koutsoyiannis, 1996, Theory of Econometrics, ELBS with Macmillan.
Basic Features
Undergraduate degree programmes of either 3 or 4-year duration, with multiple entry and exit points and re-entry options, with appropriate certifications such as:
- UG certificate after completing 1 year (2 semesters with 40 Credits + 1 Summer course of 4 credits) of study,
- UG diploma after 2 years (4 semesters with 80 Credits + 1 Summer course of 4 credits) of study,
- Bachelor’s degree after a 3-year (6 semesters with 120 credits) programme of study,
- 4-year bachelor’s degree (Honours) after eight semesters (with 170 Credits) programme of study.
- 4-year bachelor’s degree (Honours with Research) if the student completes a rigorous research project (of 12 Credits) in their major area(s) of study in the 8th semester.
Note: The eligibility condition of doing the UG degree (Honours with Research) is- minimum75% marks to be obtained in the first six semesters.
- The students can make an exit after securing UG Certificate/ UG Diploma and are allowed to re-enter the degree programme within three years and complete the degree programme within the stipulated maximum period of seven years.
