APPLIED ECONOMETRICS


Course Description

The aim of this course is to provide a foundation in applied econometric analysis and develop skills required for empirical research in economics. Topics include specification and selection of regression models, dynamic econometric models, advanced methods in regression analysis and panel data models. Since the emphasis is on application of methods, this course requires understanding of econometric software and computing skills.

Course Outline

1. Stages in Empirical Econometric Research

2. Regression Diagnostics and Specification

Misspecification; functional forms; model selection.

3. Advanced Topics in Regression Analysis

Selected Topics:

Dynamic Econometric Models: distributed lag models; autoregressive models;

instrumental variable estimation; simultaneous equation models.

4. Panel Data Models

Methods of estimation; fixed effects model; random effects model.

5. Introduction to Econometric Software Package

GRETL; E-VIEWS; STATA (any one)


THIS SECTION COMPRISES STUDY MATERIAL OF APPLIED ECONOMETRICS


THIS SECTION COMPRISES PREVIOUS YEAR PAPERS OF APPLIED ECONOMETRICS


Readings:

1. Jeffrey M. Wooldridge, Econometrics, CENGAGE learning, India Edition, 2009.

2. Dimitrios Asteriou and Stephen Hall, Applied Econometrics: A Modern

Approach, Palgrave Macmillan, 2007.

3. Damodar Gujarati, Econometrics by Example, Palgrave Macmillan, 2011.

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