Titolo | Pubblicato in | Anno |
---|---|---|
Inflationary shocks, economic aggregates and households’ green transition. A causal machine learning analysis using mixed frequency data | Social Situation Monitor | 2024 |
Nowcasting inflation with Lasso-regularized vector autoregressions and mixed frequency data | JOURNAL OF FORECASTING | 2023 |
Forecasting cryptocurrencies log-returns. A LASSO-VAR and sentiment approach | APPLIED ECONOMICS | 2023 |
Nowcasting – developing the sources and methods to improve high-frequency labour market forecasting | 2022 | |
Effects of international shocks on Italian economy: FAVAR approach | 2020 |
Macroeconomics, Time series, and Bayesian econometrics;
Deep Learning for Time Series Forecasting;
Econometric modeling, simulation, and forecasting;
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