We’re the Valtice Center for Economic and Statistical Research. Our team brings together expertise in economics, statistics, software development, and education.
We build custom software, research tools, and economic simulations that let people examine the assumptions behind a result.
We examine how people, firms and institutions respond to incentives, policy and market conditions. Our work includes economic simulation and scenario design, with attention to the assumptions behind each result. We also develop digital twins of operational and organisational systems, defining which relationships matter and how a proposed change could affect the outcomes being studied.
We design analyses around the question and the evidence available. Our work covers study design, estimation and diagnostics, including the choice of comparison groups and the assumptions needed to interpret an effect. We examine uncertainty and alternative explanations so findings can be judged in context. The aim is to make clear what the evidence supports and where further investigation is needed.
We build software around how people work. Our experience spans research applications, dashboards and connected workflows. We translate practical requirements into interfaces and data processes, paying attention to how teams record decisions, review changes and share their work. Documentation and technical onboarding help the people using a system understand how to operate and maintain it.
We translate economic ideas into lessons, experiments and simulations that learners can work through themselves. Our work covers course structure, learning activities and the explanations that connect theory with what happens in a model. We use decisions and scenario comparisons to help learners examine assumptions, follow consequences and understand why changing a rule can change an outcome.
We start with the decision you need to make or the question you want to study. Economic reasoning helps us identify the incentives and trade-offs. Statistical analysis helps us judge what the evidence can support.
When the work calls for a model, we make the assumptions explicit so people can see what changes when they try a different scenario.
Tell us what you want to understand, what information you have, and who will use the result. We can then discuss what would help, such as a study, a dashboard, or an application your team can use.
See our servicesTell us what you would like to contribute and share a little about your experience.
Email contact@vcesr.com