Research & Advisory
Independent research at the intersection of applied economics and public health.
About This Work
Too Early To Say publishes independent research at the intersection of applied economics and public health. This work spans health policy, spatial analysis, and computational methods.
The analyses here represent personal research interests and do not reflect any organization or institution.
Areas of Expertise
Health Economics & Policy Evaluation
Cost-effectiveness analysis, program evaluation, and microsimulation modeling.
Spatial & Geographic Analysis
Food access mapping, transit equity measurement, and social determinants of health.
AI-Augmented Research Methods
Practical applications of large language models for policy research.
Program Planning & Budget Analysis
Economic implications of budget changes, funding shocks, and policy shifts. Includes feasibility analysis for new program design.
Health Economics & Program Integrity
Medicaid billing analysis, fraud detection methodology, and evidence-based evaluation of healthcare spending using public administrative data.
Frequently Asked Questions
What is the focus?
We specialize in evidence-based decision-making through health economics. Our projects typically involve cost-effectiveness analysis, measuring spatial accessibility, or modeling policy impacts. We build tools and analysis that help stakeholders understand what works and what doesn't.
What kinds of projects do we take on?
We support teams that want to bring more rigor into their public health and policy work. That usually looks like evaluating programs with real data, designing interventions that are actually feasible on the ground, and using applied economics to answer practical policy questions. We also help with budget scenario modeling, economic impact analysis, and identifying where community health investments will have the most value.
Do we work with academics?
Yes. We believe in open science. Replication files for published work are available on request. We're also open to joining research teams as technical advisors or co-authors when the project is a good fit.
What's our stance on AI?
We use AI to code better and write faster. It handles the syntax; we handle the strategy. Human judgment remains the most important part of the stack, but LLMs help clear the roadblocks.
Is consulting available?
Yes, but we prioritize fit over scope. Whether the need is a quick technical advisor or a partner for a long-term evaluation, the first step is a conversation to see if our toolkit can solve the specific problem.
Say Hello
We're always happy to discuss policy research, methodology, or new collaborations.
Email: [email protected]
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