A5007694600- Monetary Policy and Economic Impact
- Probabilistic and Robust Engineering Design
- Global Financial Crisis and Policies
- Economic Theory and Policy
- Economic Policies and Impacts
- Italy: Economic History and Contemporary Issues
- Fiscal Policy and Economic Growth
- Economic theories and models
- Fiscal Policies and Political Economy
- Economic Growth and Productivity
- Market Dynamics and Volatility
- Banking stability, regulation, efficiency
- European Monetary and Fiscal Policies
- Advanced Multi-Objective Optimization Algorithms
- German Economic Analysis & Policies
- Regional Development and Policy
- Control Systems and Identification
- Advanced Control Systems Optimization
- Global trade and economics
- Simulation Techniques and Applications
- Nonlinear Dynamics and Pattern Formation
- Parallel Computing and Optimization Techniques
- Housing Market and Economics
- Fault Detection and Control Systems
- Complex Systems and Time Series Analysis
University of Genoa
1995-2024
European Union
2024
Joint Research Centre
2011-2023
Istituto Nazionale di Statistica
2011-2023
European Commission
2005-2022
Directorate-General for Economic and Financial Affairs
2014-2016
Université Libre de Bruxelles
2014-2016
National Bank of Poland
2014
Istituto Superiore per la Protezione e la Ricerca Ambientale
2002
Journal Article What drives the German current account? And how does it affect other EU Member States? Get access Robert Kollmann, Kollmann ECARES, Université Libre de Bruxelles, CEPR, Paris-Est; European Commission, Joint Research Centre (JRC); DG ECFIN; ECFIN Search for works by this author on: Oxford Academic Google Scholar Marco Ratto, Ratto Werner Roeger, Roeger Jan in ’t Veld, Veld Lukas Vogel Economic Policy, Volume 30, Issue 81, 1 January 2015, Pages 47–93,...
This paper augments the European Commission's open-economy DSGE model (GM) with COVID-specific shocks ('forced savings', labour hoarding) and financially-constrained investors to account for extreme volatility of private domestic demand hours worked during COVID-19, it estimates on euro area data period 1998q4-2021q4. It takes a pragmatic approach adapting workhorse policy institution COVID-19 data. 'Forced savings' are central explain quarterly real GDP growth pandemic, complemented by...
Abstract. In this paper, we discuss a joint approach to calibration and uncertainty estimation for hydrologic systems that combines top-down, data-based mechanistic (DBM) modelling methodology; bottom-up, reductionist methodology. The combined is applied the of River Hodder catchment in North-West England. top-down DBM model provides well identified, statistically sound yet physically meaningful description rainfall-flow data, revealing important characteristics catchment-scale response,...
Local and global uncertainty analyses of a flat, premixed, stationary, laminar methane flame model were carried out using the Leeds oxidation mechanism at lean (phi = 0.70), stoichiometric 1.00), rich 1.20) equivalence ratios. Uncertainties velocity, maximal temperature, concentrations radicals H, O, OH, CH, CH(2) investigated. Global analysis methods included Morris method, Monte Carlo with Latin hypercube sampling, an improved version Sobol' method. Assumed probability density functions...