|Sudha Krishnamurthy||Major/Minor||4||Economics Major/Minor||5|
This module will cover the nature of statistical inference, a range of basic methods of inference to practical problems in econometrics and empirical economics, advanced econometric techniques practical computing skills to interpret econometric results
The student should be able to use statistical analysis, including regression, in order to estimate relevant economic parameter, predict economic outcomes and test economic hypotheses using data, as well as critically evaluating the results and conclusions from similar analyses. This course will provide the basic foundation for future the study in econometrics and other statistical techniques at advanced levels.
- Interactive class discussions on every concept. Small class size
- Use of articles, news clipping, videos, etc. to further explain concept i.e. a practical understanding regarding the concept.
- Evaluations are conducted throughout the semester to ensure that the students’ outcomes are appraised.
Students are expected to –
- Complete all required reading for each scheduled class as per the course outline,
- Actively participate in class activities and discussions, and
- Complete all evaluative processes for successful course completion!