This course is a continuation of Quantitative Methods I course (ECON 2123) that was offered during Semester 1. The course introduces students with theories and applications of inferential statistics that include simple regression analysis, multiple regression analysis, residual analysis, time-series analysis and decision making under uncertainty. The course will start with a preliminary review of parametric and non-parametric estimations and the concept of hypothesis testing including Analysis of Variance and then will introduce basic concepts and applications of simple and multiple regression analyses along with correlation and residual analysis. Finally, the course will provide an overview of non-parametric tests of hypothesis, forecasting with time series analysis and decision-making under uncertainty. The modality of offering this course includes in-class practice and experiential learning through projects and thus students can expect a good combination of lessons on theoretical concepts along with their applications through individual and group projects.
- Docente: Rajendra Chaini