Impact Analysis

Impact Analysis (IA) is crucial for estimating the economic, social, and environmental effects of policies or spending programs. It stands out as one of the most accurate methods for assessing externalities, enabling the estimation of direct, indirect, and induced impacts resulting from changes in regulatory frameworks or the implementation of investment projects.

IA extends beyond traditional cost-benefit analysis and computable general equilibrium assessments by incorporating environmental and social variables, as well as a wide range of additional externalities, including the provision of services from natural and human capital.

At OpenEconomics, we leverage extensive experience in conducting in-depth analyses of the economic, social, and environmental impacts of complex policy measures. Our focus is particularly on programs and projects aimed at mitigating climate change and fostering inclusive and resilient growth.

Our analysis modeling team, led by Prof. Pasquale Lucio Scandizzo, consists of 25 economists and an additional 20 analysts and managers with significant experience in managing complex projects. This team develops and applies advanced computable economic models, adhering to the most rigorous scientific methodologies and best practices of multilateral institutions and organizations.

The primary goal of OpenEconomics’ modeling work is to provide reliable ex-ante assessments of policy and investment impacts within transparent and objective reporting frameworks, such as the Sustainable Development Goals (SDG), Global Reporting Initiative (GRI), World Bank Indicators (WBI), and the OECD’s Methodology for Assessing the Impacts of Economic Instruments (MEI). We utilize interactive tools to facilitate the exploration of results and enhance dialogue with stakeholders.