This course is a logical extension of the first-semester course on regression analysis. It introduces the concept of simultaneous equations and their estimation. The course examines possible solutions to problems arising from the breakdown of ordinary least squares assumptions and sampling theories. Topics include multicollinearity, heteroscedasticity, autocorrelation, and econometric modeling, emphasizing specification and diagnostic testing. Students will apply techniques to real-life data and understand models for measuring economic relationships.
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Everything you need to know about this course
Key areas covered in this course
No specific requirements needed
This course is designed to be accessible to all students. You can start immediately without any prior knowledge or specific preparation.
How your progress will be evaluated (3 methods)
Comprehensive evaluation of course material understanding
Comprehensive evaluation of course material understanding
Comprehensive evaluation of course material understanding
Explore the career paths this course opens up for you
Apply your skills in this growing field
Apply your skills in this growing field
Apply your skills in this growing field
Apply your skills in this growing field
Apply your skills in this growing field
Real-world sectors where you can apply your knowledge
Expert tips to help you succeed in this course
Review all module objectives and summaries to consolidate understanding.
Practice solving numerical problems from each unit, focusing on regression analysis.
Create flashcards for key econometric terms and formulas.
Simulate exam conditions by completing past papers within the time limit.
Focus on understanding the assumptions and limitations of each econometric technique.
Review and understand the application of different econometric models.
Pay close attention to the interpretation of regression results and statistical tests.