Course Description
This is an applied econometrics course. Students taking this course will gain skills and experience in data analysis, economic modeling, and interpretation of results. The course will include hands-on model building using the open-source statistical software - R. Emphasis will be laid on the ability to set up the model correctly and interpret the results of the models. Students should also develop the ability to critically evaluate the quality of statistical models used in research studies.
Course Content
- Review of probability and statistics
- Linear regression with one regressor
- Regression with multiple regressors
- Regression with non-linear terms
- Panel data regression
- Binary dependent variable regression
Course Audience
MTech, MBA and PhD students in the Industrial and Management Engineering Department at IIT Kanpur
Outcomes of this Course
- Understand the statistical theory underlying regression models
- Ability to set up an econometric model using appropriate data
- Ability to build linear regression models using open-source software R
- Ability to present and interpret the results of OLS models
- Understand the theory underlying panel data regression
- Build panel data models, present and interpret results
- Understand the theory underlying models for discrete dependent variables
- Build logit/probit models and use different measures of goodness of fit for the models