My research focuses on the development of quantitative methods to support evidence-based decision making in public policy and regulated sectors. It is driven by a broad interest in understanding how public policies, organizations, and institutions can contribute to more sustainable, equitable, and resilient societies.
To address these challenges, methodological advances are developed in areas such as performance measurement, efficiency and productivity analysis, composite indicators, causal policy evaluation, and multi-criteria decision analysis.
A central theme of my work is the measurement of complex socio-economic phenomena that cannot be adequately captured by traditional economic indicators alone. Particular attention is devoted to evaluating performance across multiple dimensions, including sustainability, educational opportunities, service quality, health outcomes, equity, and social well-being.
The methodological framework combines mathematical programming, efficiency and productivity analysis, econometrics, and multi-criteria decision analysis to build rigorous yet practical approaches for policy assessment and decision support.
These methodological developments are applied to several policy-relevant domains, with particular emphasis on:
- Environmental sustainability and the green transition
- Education systems, educational equity, and human capital development
- Health system effectiveness and healthcare quality
- Water services, environmental regulation, and sustainable public service provision
- Local government performance and fiscal sustainability
Ultimately, my research aims to bridge methodological innovation and real-world policy challenges, providing analytical tools that help policymakers, regulators and public institutions design more effective, equitable and sustainable solutions.