Economics Tutor Specializing in Finance, Accounting, and Market Analysis

The session covered different poverty measures: the poverty gap, Total Poverty Gap (TPG), Average Poverty Gap (APG), and Normalized Poverty Gap (NPG). The student learned the formulas and interpretations of each measure. Homework was assigned to practice using the NPG formula with a given example, and the student will review randomized controlled trials and the ROR model in the next session.

Reshu and Samrawit reviewed macroeconomic concepts including the Solow model, growth accounting, and total factor productivity, using a worksheet to analyze the factors driving economic growth in different countries. They discussed the role of capital accumulation, human capital, and technological progress in determining long-run growth and living standards. Samrawit will review the worksheet and lecture slides for the next session.

Reshu guided Samrawit through complex economic formulas, focusing on variables like alpha, beta, and delta, and the concept of depreciation. Their lesson involved working through a problem on economic shocks and transition dynamics, where they calculated the impact of an increased depreciation rate on steady-state capital and output. They also reviewed the formulas for K star and Y star. Samrawit was given practice questions and material to review in preparation for their upcoming class.

Reshu assisted a student from the University of Texas at Arlington in understanding the Solow model, focusing on calculating steady-state capital and output per worker using the Cobb-Douglas production function. They worked through problems involving changes in saving rates and discussed the impact on long-run growth. Reshu assigned practice questions for the next lesson.

Reshu assisted Melisa with her test preparation, focusing on a range of quantitative analysis topics. Their lesson covered hypothesis testing, solving equations via elimination, and understanding uniform distribution, expected payoff, and variance. They also thoroughly examined the consequences of violating OLS assumptions, specifically heteroscedasticity, and its impact on regression. Practical application was key, as they worked through sample questions on investment optimization and the effects of heteroscedasticity on OLS regression. Melisa intends to renew her lessons and has scheduled a follow-up meeting with Reshu for Friday to continue their test preparation, where Reshu will provide more practice questions.

Reshu and Melisa engaged in a detailed lesson on statistical analysis, specifically focusing on hypothesis testing in regression models. Their work involved analyzing practical scenarios, including a case study on potential pay discrimination and another on factors influencing economics journal subscriptions. They plan to resume their work on the remaining questions in their next lesson, and Melisa also discussed sending another sample paper for review.