"Empower Your Economics Skills with Interactive Problem-Solving Sessions"

Soumya and Harjot reviewed econometrics, including R-squared, tests for heteroscedasticity (White, Breusch-Pagan), autocorrelation (Breusch-Godfrey), time series forecasting, and long-run multiplier effects. They worked through practice questions, focusing on hypothesis testing and model assumptions. They plan to review the material further and scheduled the next class.

Soumya Aggarwal tutored Harjot Kaur, guiding her through a practice economics exam covering regression analysis, hypothesis testing, and model specification. They worked through multiple-choice and short-answer questions, focusing on understanding the underlying concepts and formulas. Soumya assigned Harjot to review the material and practice problems, with a follow-up session scheduled for the next day to continue exam preparation.

Soumya assisted Harjot in preparing for an upcoming exam by reviewing key concepts in time series analysis, including serial correlation, the Breusch-Godfrey test, HAC standard errors, and static vs. dynamic models. Harjot is working on practice questions to reinforce these concepts. They scheduled another session for Wednesday to complete the remaining topics and address any questions Harjot may have.

Soumya Aggarwal tutored Harjot Kaur on heteroscedasticity, covering its definition, consequences, detection through informal and formal tests (Breusch-Pagan and White tests), and methods to address it. They also introduced serial correlation. Harjot was assigned questions on heteroscedasticity tests, and their next class is scheduled for Tuesday.

Soumya tutored Zoe on inscribed angles and cyclic quadrilaterals. Zoe practiced problems to improve her understanding of these geometric concepts. They also briefly discussed right triangles as a possible topic for a future session.

Harjot tutored Soumya on OLS properties and assumptions, covering topics such as multiple linear regression, R-squared, the OLS estimator, orthogonality, the BLUE property, and the classical linear regression assumptions. They also discussed the implications of zero error, normally distributed errors, the Law of Iterated Expectations, and the variance of the OLS estimator. Their plan is to complete tutorials 7 and 8.