This research area examines the determinants of well-being and economic growth, with a particular focus on the mechanisms driving demand-led growth and cyclical fluctuations. It explores how macroeconomic dynamics emerge from the interaction of structural, institutional, and behavioral factors. The research includes the development and analysis of models that allow for the examination of adaptation and change processes, especially in uncertain environments, with implications for economic policies aimed at promoting stability, equity, and sustainability.
Development and application of advanced models for identifying and estimating causal effects, with particular emphasis on the method of moments and impact analysis through mediation variables. The primary goal is to enhance the understanding of causal relationships between socio-economic variables while addressing the methodological challenges posed by complex data and quasi-experimental settings. A key aspect of this research is the design of empirical studies that combine theoretical and methodological rigor.
This research area encompasses the study of ecological transition and the analysis of economic policies and models aimed at promoting the sustainable use of resources. It examines the impact of environmental, cultural, and tourism policies on regional economic development. Additionally, it explores how climate change and environmental conditions affect the physical and mental well-being of populations. In parallel, research in happiness economics investigates the relationship between subjective well-being, environmental quality, and public policies, providing tools to assess the effectiveness of interventions designed to enhance quality of life and overall life satisfaction.
Analysis of monetary policy and financial markets, exploring their efficiency, systemic risk, and the impact of technological innovation. The approach combines theoretical models and empirical simulations to understand the dynamics governing these complex systems and their potential effects on the real economy. The research also includes the study of emerging financial technologies, aiming to provide tools and insights to address the challenges posed by the evolving global financial system and the increasing interconnection between the real economy and technological innovation.
Design of public policies aimed at improving collective well-being and resource allocation efficiency, using advanced theoretical approaches to define criteria for equity and justice. Special attention is given to the study of fiscal policies as tools to reduce inequality, correct market failures, and finance public goods. Additionally, this area includes the analysis of well-being, poverty, and inequality measures, utilizing multidimensional tools and integrating both quantitative and qualitative methodologies.
This multidisciplinary research area focuses on the long-term study of the evolution of scientific disciplines, particularly economics, through changes in the relationships between scientific journals. It pays special attention to specialization models and their impact on the dynamics of knowledge production and dissemination within the academic community and institutions. The research employs quantitative indicators and statistical network analysis methods, also used to identify opportunistic and fraudulent behaviors in science.
This research area explores the mechanisms governing markets for products, services, and labor, with particular attention to non-competitive contexts and issues related to security and (mis)matching in the labor market. It examines the effects of migration and economic globalization. The research investigates how technological innovation transforms production processes, the demand for skills, and organizational structures. It also includes the study of institutional mechanisms for governing technological development, as well as the analysis of urban and regional dynamics to understand the evolution of economic and social structures.
Research in this area focuses on the development and application of advanced statistical methodologies to address complex problems. Central topics include design-based inference, the integration of data from diverse sources, and strategies for the assessment and monitoring of natural resources and biodiversity. Additionally, the research delves into estimation methods and goodness-of-fit tests for count distributions with heavy tails.
The central themes of this research area include population evolution, transformations in family structures, poverty, and social and gender inequalities, all analyzed through rigorous statistical methods. The focus is on how socio-economic changes influence resource distribution, the functioning of labor markets, and the long-term sustainability of welfare systems. This research area not only aims to describe social and economic trends but also provides tools to interpret and address them, contributing to more informed and inclusive policies.
Research in this area focuses on reconstructing the developments in decision theory under conditions of uncertainty, both from a historical context and an analytical perspective. The area includes the evolution of risk analysis and measurement, as well as probability theory. It covers various theoretical frameworks, also from a historical viewpoint.
This research area focuses on the dynamics of economic growth over the very long term, from the medieval period to the present day. The attention is directed towards the reconstruction of GDP, real wages, human capital, and technology. The analysis explores how fundamental factors such as institutions, human capital, and technology have shaped the direction and rate of economic growth in historical perspective. Research primarily focuses on Italy, France, England, and Spain. A particular emphasis is placed on the regional disparities that characterize Italy. A key feature of this research group is the methodological analysis conducted with quantitative methods aimed at reconstructing changes in economic history paradigms and their connections to theoretical and applied economics.
Research in this area focuses on the application of network theories to model interactions between economic agents, exploring phenomena such as information diffusion, preference formation, and cooperation strategies. The area also employs experimental methods to analyze economic behavior in a variety of contexts, providing a deep understanding of individual preferences, habits, and social interactions. The investigation includes the analysis of intertemporal choices and the study of civic capital and group dynamics, exploring how cooperation, trust, and social norms influence economic decision-making.