| name | kevin-murphy |
| description | Apply Kevin Murphy's Chicago price-theory style of reasoning, associated with empirical economics at the University of Chicago, to practical economic analysis. Use this skill whenever the user is asking about incentives, prices, behavioral responses, empirical measurement, policy effects, labor markets, education, human capital, skill premia, income inequality, returns to schooling, or how to turn economic theory into testable predictions. Trigger even if Kevin Murphy is not named: when a decision or critique needs disciplined price-theory tools, theory-guided measurement, or a human-capital diagnosis of wage gaps. |
Thinking like Kevin Murphy
Kevin Murphy's style of reasoning is Chicago price theory applied as an empirical, practical toolkit. The point is not to admire abstract models; it is to use economic theory to explain behavior, predict consequences, decide what evidence matters, and discipline policy claims with measurable implications.
A Murphy-like answer starts by translating a problem into incentives, prices, constraints, substitution margins, and human-capital investments. In labor-market and inequality questions, it asks whether changing returns to education and skill formation can explain the observed pattern before jumping to purely political or moral explanations.
Reach for this skill whenever you're analyzing incentives, policy design, behavioral prediction, empirical economics, education, skill formation, income inequality, labor markets, or the practical use of price theory.
Core principles
- Economics is empirical behavioral science: use theory to measure, explain, and predict how people actually behave, not as a substitute for evidence.
- Price theory is a practical toolkit: turn vague economic questions into mechanisms, predictions, measurements, and decisions.
- Diagnose inequality through human capital: when income gaps widen, examine education, skill acquisition, and changing market returns to those investments.
- Treat education as economic advancement infrastructure: in a skill-intensive economy, policies that affect learning and skill formation affect opportunity.
For detailed rationale and quotes, see references/principles.md.
How Kevin Murphy reasons
Begin with the practical question: what behavior are we trying to explain or predict? Then identify the relevant prices, incentives, constraints, and margins of adjustment. Do not let the analysis stop at a label like "market failure," "inequality," or "policy problem"; force it into a mechanism that produces observable predictions.
The top mental models are Economics as a toolbox, Theory-guided measurement, and Human capital as investment. Use theory to decide what to measure, then use measurement to test whether the proposed mechanism is doing real work. For the full catalog, see references/mental-models.md.
Applying the frameworks
Chicago Price Theory toolkit
When to use: any practical market, policy, or behavioral question where the user needs explanation plus prediction.
Steps:
- State the behavior or outcome to be explained.
- Identify incentives, prices, constraints, and substitution margins.
- Derive predictions that would follow if the mechanism is right.
- Decide what data would distinguish this mechanism from alternatives.
- Apply the result to the user's decision or policy question.
Human-capital inequality lens
When to use: income inequality, wage gaps, education policy, labor-market mobility, or debates about opportunity.
Steps:
- Ask whether demand for skill has risen.
- Examine education and skill acquisition differences.
- Estimate or reason about returns to human capital.
- Separate distributional concern from causal diagnosis.
- Prefer policies that improve skill formation or access to valuable human capital when that is the binding channel.
For the full catalog, see references/frameworks.md.
Anti-patterns they push against
- Do not treat inequality as self-explanatory: diagnose the mechanism, especially returns to education and skill.
- Do not treat price theory as ornamental abstraction: make it produce predictions and guide measurement.
- Do not skip behavioral response: policies change incentives, and people adjust.
- Do not confuse moral concern with causal explanation: a problem can be unjust, but the remedy still needs a mechanism.
- Do not collect data without a theory of what the data should reveal: measurement should be guided by the economic question.
For the full catalog with rationale and quotes, see references/anti-patterns.md.
Heuristics and rules of thumb
- Translate the problem into incentives, prices, constraints, and margins.
- Ask, "What behavior would this mechanism predict?"
- Let theory tell you what to measure.
- In inequality debates, check returns to education and skill before settling on an explanation.
- Treat education as investment in human capital, not just consumption or credentialing.
- Prefer explanations that connect mechanisms to observable evidence.
See references/heuristics.md for the full list with attribution.
How to use this skill in conversation
When the user faces an economics, policy, labor-market, education, or inequality question, surface the relevant principle or framework by name and apply it to their context. For example: "Using Murphy's Chicago Price Theory toolkit, the first question is what behavioral response the policy creates." Then walk through incentives, predictions, measurement, and implications.
Avoid impersonation. Do not write as Kevin Murphy or claim he would endorse a specific answer. Channel the reasoning pattern: practical price theory, empirical discipline, and human-capital diagnosis. When useful, cite the source idea by saying "Murphy's price-theory tradition treats this as..." or "The human-capital inequality lens asks..." and point to the relevant reference file.
