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&#39;ve never studied econometrics before or just want to strengthen your fundamentals, this course starts from scratch and builds up step by step &mdash; no prior background needed.
Through clear explanations and practical application, you&#39;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.
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Syllabus
Module 1: Basic Econometrics 
Nature, meaning and scope of econometrics; Simple and General Linear Regression Model &mdash; assumptions, estimation (OLS approach) and properties of estimators; Derivation of least square parameters; Goodness of fit and econometric inference; Functional forms of regression models &mdash; 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 &mdash; Logit, Probit and Tobit models.
Module 3: Dynamic Econometric Models 
Auto-regressive and distributed lag models &mdash; Koyck model, Partial adjustment model, Adaptive expectations, Almon approach to distributed lag models. Methods of instrumental variables. Introduction to SPSS software.

Econometrics - I | MA Economics | Rajasthan University (Recorded Only)

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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&#39;ve never studied econometrics before or just want to strengthen your fundamentals, this course starts from scratch and builds up step by step &mdash; no prior background needed.
Through clear explanations and practical application, you&#39;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.
Additionally you can ask your doubts directly via WhatsApp at 7300069750.
Moreover, you get a chance to directly connect with our faculty Mangal Kumar Sharma for mentoring. Whether you want a career advise or just want to follow this course optimally, the faculty is here to answer you directly. Just drop a msg on Whatsapp to connect with him.
Please note: Once the course fee is submitted, it is non-refundable under any circumstances.
<hr />
Syllabus
Module 1: Basic Econometrics 
Nature, meaning and scope of econometrics; Simple and General Linear Regression Model &mdash; assumptions, estimation (OLS approach) and properties of estimators; Derivation of least square parameters; Goodness of fit and econometric inference; Functional forms of regression models &mdash; 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 &mdash; Logit, Probit and Tobit models.
Module 3: Dynamic Econometric Models 
Auto-regressive and distributed lag models &mdash; Koyck model, Partial adjustment model, Adaptive expectations, Almon approach to distributed lag models. Methods of instrumental variables. Introduction to SPSS software.

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