Econometrics - I
MA Economics | Rajasthan University

This course is designed to take you from the very basics of econometrics to a confident, practical understanding of the subject. Whether you've never studied econometrics before or just want to strengthen your fundamentals, this course starts from scratch and builds up step by step — no prior background needed.

Through clear explanations and practical application, you'll learn the core tools economists use to analyze real-world data, along with hands-on exposure to SPSS software.

The course consists of recorded lectures, so you can learn at your own pace and revisit topics whenever you need.

Please note: Once the course fee is submitted, it is non-refundable under any circumstances.

---

Syllabus

Module 1: Basic Econometrics
Nature, meaning and scope of econometrics; Simple and General Linear Regression Model — assumptions, estimation (OLS approach) and properties of estimators; Derivation of least square parameters; Goodness of fit and econometric inference; Functional forms of regression models — Log-Log, Semi-log, Reciprocal transformation.

Module 2: Violation of Assumptions
Heteroscedasticity; Multicollinearity and Autocorrelation; Specification problems. Regressions with qualitative independent variables: dummy variable technique; Regression with binary dependent variables — Logit, Probit and Tobit models.

Module 3: Dynamic Econometric Models
Auto-regressive and distributed lag models — Koyck model, Partial adjustment model, Adaptive expectations, Almon approach to distributed lag models. Methods of instrumental variables. Introduction to SPSS software.