📅 2024-09-10 — Session: Evaluated and Developed Economics PhD Problems
🕒 03:00–06:30
🏷️ Labels: Economics, Phd, Asset Pricing, Game Theory, Auction Theory
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The session aimed to evaluate and develop complex problems suitable for PhD-level coursework in advanced economics, focusing on asset pricing and consumption habits.
Key Activities
- Assessed the complexity of an advanced asset-pricing problem for PhD students, particularly focusing on consumption habits and risk aversion.
- Outlined approaches to formulate PhD-level questions in consumption-based asset pricing, covering model dynamics, comparative statics, parameter calibration, empirical applications, and alternative model structures.
- Analyzed job tenure using a Weibull distribution model, considering factors like education, sector, and gender.
- Derived equilibrium bid strategies in auction theory, concluding that buyer 1 should bid half of the item’s true value.
- Presented abstract economic questions to stimulate deep conceptual thinking in game theory, stochastic control, and auction design.
- Modeled a two-period bargaining game, detailing decision-making processes and optimal pricing strategies with a Python simulation.
- Reviewed best practices for using external tools on strict platforms, ensuring compliance and account safety.
Achievements
- Successfully evaluated and developed a series of complex, PhD-level problems in economics.
- Derived actionable insights and strategies in auction theory and game theory.
- Enhanced understanding of statistical modeling of job tenure using advanced distribution models.
Pending Tasks
- Further refinement of the economic questions for clarity and depth.
- Continued development and testing of the Python simulation for the bargaining game model.