1. Macroeconomic Dynamics, Regimes, and Structural Change
Macroeconomic dynamics are shaped by cumulative processes, institutional constraints, policy regimes, technological transformations, and nonlinear mechanisms that influence the evolution of economies over time. This line examines how feedback effects, thresholds, persistence, path dependence, and regime shifts affect patterns of growth, fluctuation, and structural change. Particular attention is given to the interaction between short-run macroeconomic fluctuations and long-run transformation, especially in contexts marked by changes in productive structures, technological trajectories, policy frameworks, institutional arrangements, and distributional conditions. The line brings together macroeconomic theory, dynamic analysis, and historically informed interpretation to study how economies move across different growth paths, productive configurations, and macroeconomic regimes.
2. Financial Fragility, Interconnectedness, and Systemic Instability
Financial fragility can arise from the internal organization of credit relations, balance-sheet positions, liquidity conditions, asset markets, risk perception, and patterns of economic interdependence. This line studies how these mechanisms reinforce one another, allowing localized disturbances to generate broader episodes of instability. It also examines the role of interconnections among firms, sectors, households, financial institutions, and supply chains. Network structures, concentration, heterogeneity, and institutional linkages may determine whether shocks are absorbed, amplified, or transmitted across the economy. The broader objective is to understand financial cycles, contagion, crises, and systemic risk as outcomes of interacting economic and financial structures, rather than as isolated events.
3. Analytical, Computational, and Statistical Methods for Nonlinear Economic Models
Nonlinear economic dynamics raises analytical and empirical problems that require specific methodological tools. This line is dedicated to the formulation, solution, simulation, estimation, and validation of models with feedback effects, instability, multiple equilibria, regime dependence, heterogeneity, and stochastic nonlinearities. It brings together dynamic systems, stability and bifurcation analysis, numerical methods, simulation-based inference, and empirical validation. The aim is to make nonlinear economic models analytically transparent, computationally operational, and empirically informative, so that their dynamic mechanisms can be clearly identified, tested, and interpreted.