InfoEcoScience "Information Economics for Science" - prof. Marco Ottaviani
Persistent Slumps, Policy, and Heterogeneity - prof. Tommaso Monacelli
Global Preferences and Cognition Panel - prof. Salvatore Nunnari
ALL ONGOING PROJECTS
We develop new theoretical frameworks to understand (i) the role of stabilization policies during persistent economic slumps and (ii) how the effects of those policies depend on the degree of heterogeneity in the economy.
This project details an important extension to the ERC Starting Grant 852526 awarded to the Principal Investigator in 2019, “Behavioral Foundations of Populism and Polarization” (POPULIZATION).
The project develops foundational tools in the organizational economics, given the uncertainty shrouding even the most promising research projects, information plays a key role in the organization of science.
The over-arching goal of this ERC Starting grant is to study the extremely important phenomena that link education and governments' policies through the lenses of quantitative economic history.
The aim of the present project is to study the nonlinear effects of monetary and fiscal policy by using a simple extension of standard VAR methods.
We study how the process of information generation, transmission and revelation affect firms’ performance and workers’ careers.
Despite a large literature focusing on the outcomes of religious and racial discrimination, there is little empirical evidence on whether discriminatory attitudes change over the long-term, and through which mechanism. The main challenges are the measurement of attitudes and finding a context in which to study their interaction with demographic, economic, and institutional dynamics.
This project aims at evaluating an extended set of climate strategies in a scientifically robust way and has the potential to advance both the economics profession, as well as the policy dialogue among the many stakeholders –citizens, government and the private sector- who are called to manage the climate change challenge.
The augmented complexity of decision challenges (ranging from catastrophic risks to artificial intelligence) and their management call for a reunification of Decision Theory and Decision Analysis with the objective of mutual renewal and enhancement, permitting to take effectively into account multifaceted uncertainties and their multidimensional consequences.