Course Objectives:
The objectives of this course are-
Course Outcomes (COs):
Course |
Outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
|
Paper Code |
Paper Title |
|||
ECO 424(A-P) |
Applied Econometrics using EViews-II |
CO66: Acquire a hands-on training in the use of EViews software for estimating dummy variable regression models and distributed lag models. CO67: Understand the estimation and interpretation of models based on panel data and time series data. |
Approach in teaching: Interactive Lectures, Discussion and Demonstration.
Learning activities for the students: Practice modules and Assignments. |
Practical File Preparation, Assignments, Semester end examinations. |
Illustration of the use of dummy variables, Chow test, Estimation of Logit and Probit Models, computation of Marginal Effects.
Estimation of the Koyck Model and its interpretation, Estimation of Partial Adjustment Model and its interpretation.
Organising data, obtaining series for fixed/random effects, Fixed Effects testing, estimating Random Effects Model, choosing between FEM and REM, interpretation of results.
Stationarity tests, estimation of Cointegrating Regression and the ECM, ARIMA (BJ) Forecasting, evaluation of forecasts, Estimation of VAR model, testing Granger Causality in VAR model, forecasting with VAR model, testing of ARCH effect, graphical presentation of volatility clustering, estimation of ARCH Model and GARCH model.
Application of Indirect Least Squares, Application of Two-Stage Least Squares and interpretation.
Bhaumik, S.K., Principles of Econometrics- A Modern Approach using EViews, Oxford University Press, 2015.