The course aims to define and analyze variables and data set for particular statistical investigation, to familiarize students with the statistical estimation and inference in linear regression model and its application to problems in economics and the social sciences. In the course, students will learn how to carryout statistical estimation, and the methods in interpreting econometric results carried out and reported by others. The course will cover topics such as the scope and limitations of econometrics, introduction to EViews and SAS, the nature of regression analysis, the foundation of different regression models, the normality assumption of the CLRM, interval estimation and hypothesis testing, multiple regression analysis and the problems associated in different estimation methods.

CILO-1: Explain core concepts in econometrics, focusing on the classical linear regression model. CILO-2: Describe the assumptions upon which different econometric methods are based and their implications. CILO-3: Use statistical software and employ secondary data to implement the various techniques taught. CILO-4: Demonstrate ability to interpret and critically evaluate empirical results and econometric findings.