We develop an ordinal approach to comparing the equilibria of economic models. The main advantages of this approach, compared to the traditional approach based on signing derivatives, are that (1) it utilizes only a subset of the assumptions traditionally made, resulting in a simpler theory, (2) it applies to discrete changes and even when there are multiple equilibria and when some equilibria do not vary smoothly with the parameters, and (3) it incorporates a formal theory of the robustness of conclusions to assumptions, which helps modelers distinguish which assumptions are “critical” to their comparative statics conclusions
-
Faculty
- Academic Areas
- Awards & Honors
- Seminars
-
Conferences
- Accounting Summer Camp
- California Econometrics Conference
- California Quantitative Marketing PhD Conference
- California School Conference
- China India Insights Conference
- Homo economicus, Evolving
-
Initiative on Business and Environmental Sustainability
- Political Economics (2023–24)
- Scaling Geologic Storage of CO2 (2023–24)
- A Resilient Pacific: Building Connections, Envisioning Solutions
- Adaptation and Innovation
- Changing Climate
- Civil Society
- Climate Impact Summit
- Climate Science
- Corporate Carbon Disclosures
- Earth’s Seafloor
- Environmental Justice
- Finance
- Marketing
- Operations and Information Technology
- Organizations
- Sustainability Reporting and Control
- Taking the Pulse of the Planet
- Urban Infrastructure
- Watershed Restoration
- Junior Faculty Workshop on Financial Regulation and Banking
- Ken Singleton Celebration
- Marketing Camp
- Quantitative Marketing PhD Alumni Conference
- Rising Scholars Conference
- Theory and Inference in Accounting Research
- Voices
- Publications
- Books
- Working Papers
- Case Studies
-
Research Labs & Initiatives
- Cities, Housing & Society Lab
- Corporate Governance Research Initiative
- Corporations and Society Initiative
- Golub Capital Social Impact Lab
- Policy and Innovation Initiative
- Rapid Decarbonization Initiative
- Stanford Latino Entrepreneurship Initiative
- Value Chain Innovation Initiative
- Venture Capital Initiative
- Behavioral Lab
- Data, Analytics & Research Computing