Evaluated and Developed Economics PhD Problems

• Day: 2024-09-10
• Time: 03:00 to 06:30
• Project: Teaching
• Workspace: WP 1: Strategic / Growth & Development
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Economics, Phd, Asset Pricing, Game Theory, Auction Theory

Description

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.

Evidence

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