📅 2024-08-26 — Session: Analyzed Economic Network Models and Course Development
🕒 17:20–17:45
🏷️ Labels: Economic Networks, Variance, Academic Writing, Course Development, Input-Output Models
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal: The primary goal of this session was to analyze economic network models, focusing on variance calculations, network structures, and their implications for economic volatility. Additionally, the session aimed to structure notes for academic paper development and draft notes for an undergraduate course in computational applied math.
Key Activities:
- Reflected on variance calculations and network structures, emphasizing the significance of dominant terms, error propagation, and covariance in economic analyses.
- Structured notes for academic paper development, identifying essential components for coherent and publishable papers.
- Critiqued Acemoglu et al.’s model on aggregate volatility in economic networks, proposing refinements to better understand shock propagation through network topologies.
- Revised an abstract discussing the role of network structures in economic shock propagation within an input-output framework.
- Drafted notes and an outline for a course on economic networks, focusing on the Leontieff Input-Output model and aggregate volatility.
Achievements:
- Gained insights into the limitations of conventional economic models and proposed a more nuanced input-output model for economic networks.
- Developed a structured approach for academic paper writing and course development.
Pending Tasks:
- Further refine the economic network model to incorporate sectoral interdependencies and network structures.
- Complete the course outline and notes for the undergraduate course in computational applied math.