D'AMARIO, FEDERICO
D'AMARIO, FEDERICO
DIPARTIMENTO DI ECONOMIA E DIRITTO
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Essays on Machine Learning approaches to Causality and Forecasting
2024 D'Amario, Federico
Forecasting cryptocurrencies log-returns. A LASSO-VAR and sentiment approach
2023 Ciganovic, M.; D'Amario, F.
Inflationary shocks, economic aggregates and households’ green transition. A causal machine learning analysis using mixed frequency data
2024 Ciganovic, Milos; D'Amario, Federico; Tancioni, Massimiliano
The US labor share: a TVC-SVAR approach to the causes of decline
2020 D'Amario, Federico
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Essays on Machine Learning approaches to Causality and Forecasting | 2024 | D'Amario, Federico | |
| Forecasting cryptocurrencies log-returns. A LASSO-VAR and sentiment approach | 2023 | Ciganovic, M.; D'Amario, F. | |
| Inflationary shocks, economic aggregates and households’ green transition. A causal machine learning analysis using mixed frequency data | 2024 | Ciganovic, Milos; D'Amario, Federico; Tancioni, Massimiliano | |
| The US labor share: a TVC-SVAR approach to the causes of decline | 2020 | D'Amario, Federico |