This is an intentionally rigorous, non-complacent evaluation of the repository as a doctoral or Research Assistant portfolio artifact.
Strengths. Honest reconstruction, clear research questions, literature framing
Weaknesses. Annual equivalents cannot answer sector-credit allocation questions
Future improvement. Rebuild regulator-level monthly panels
Strengths. PCA, clustering, sensitivity and fixed effects added
Weaknesses. No causal identification design
Future improvement. Use reforms or regulatory shocks for identification
Strengths. Scripted public-data pipeline and documented source audit
Weaknesses. PowerShell chosen because R/Python unavailable locally
Future improvement. Port final pipeline to R/Python once runtime is available
Strengths. Publication-oriented figure set and dashboard
Weaknesses. Static charts are less flexible than a full Shiny/Plotly deployment
Future improvement. Deploy interactive version
Strengths. End-to-end automation under constrained runtime
Weaknesses. Large PowerShell script is less elegant than modular R/Python package
Future improvement. Refactor into modules with tests
Strengths. README, methodology, reconstruction log, replication guide
Weaknesses. Some legacy scripts remain as archival material
Future improvement. Add architecture diagram and API docs
Strengths. Shows integrity, empirical judgment and communication
Weaknesses. Would be stronger with original micro/regulator panel
Future improvement. Add country case study
Strengths. Data recovery, QA, public-data workflows and reproducible outputs
Weaknesses. Needs more code modularity for team handoff
Future improvement. Add CI tests
Strengths. Strong applied-economics narrative and methodological reflection
Weaknesses. Not yet a causal research paper
Future improvement. Develop identification strategy and submit as working paper