Economics (Applied & Institutional)
Economics (Applied & Institutional)
- Model structure and internal coherence: Are definitions, variables, and causal relationships logically consistent?
- Assumption stack: What assumptions about agents, markets, information, and institutions are required?
- Mechanism validity: Does the proposed causal mechanism plausibly generate the claimed outcomes?
- Empirical grounding: What evidence supports the relationships, and how robust is it?
- Identification quality: Are causal claims truly causal or merely correlational/inferential?
- Generalizability / external validity: Does the insight transfer across countries, eras, sectors, and institutional regimes?
- Sensitivity and boundary conditions: Under what parameter ranges does the model fail or flip sign?
- Counterfactuals: What would happen under alternative assumptions or policies?
- Distributional effects: Who benefits and who pays; short-term vs long-term; concentrated vs diffuse impacts.
- Second- and third-order effects: Incentive gaming, regulatory arbitrage, market structure changes, political feedback loops.
- Institutional feasibility: Can real institutions implement the prescription without distortion?
- Measurement dependence (without turning this into a “metrics genre”): Are the variables defined in a way that is observable and stable?
- Policy risk / misuse risk: How can the insight be weaponized or misapplied?