PACCAGNINI, ALESSIA
Distribuzione geografica
| Continente | # |
|---|---|
| NA - Nord America | 316 |
| EU - Europa | 240 |
| AS - Asia | 84 |
| AF - Africa | 26 |
| SA - Sud America | 8 |
| OC - Oceania | 6 |
| Continente sconosciuto - Info sul continente non disponibili | 2 |
| Totale | 682 |
| Nazione | # |
|---|---|
| US - Stati Uniti d'America | 305 |
| DE - Germania | 83 |
| CN - Cina | 41 |
| IT - Italia | 40 |
| GB - Regno Unito | 19 |
| FR - Francia | 18 |
| DK - Danimarca | 14 |
| RU - Federazione Russa | 11 |
| ZA - Sudafrica | 11 |
| JP - Giappone | 10 |
| CA - Canada | 8 |
| FI - Finlandia | 8 |
| IN - India | 8 |
| NG - Nigeria | 7 |
| VN - Vietnam | 7 |
| AU - Australia | 5 |
| CZ - Repubblica Ceca | 5 |
| GR - Grecia | 5 |
| PT - Portogallo | 5 |
| TW - Taiwan | 5 |
| BR - Brasile | 4 |
| IE - Irlanda | 4 |
| NL - Olanda | 4 |
| RO - Romania | 4 |
| EG - Egitto | 3 |
| ES - Italia | 3 |
| IR - Iran | 3 |
| PL - Polonia | 3 |
| SE - Svezia | 3 |
| UA - Ucraina | 3 |
| CH - Svizzera | 2 |
| CL - Cile | 2 |
| EU - Europa | 2 |
| KR - Corea | 2 |
| LT - Lituania | 2 |
| PE - Perù | 2 |
| PK - Pakistan | 2 |
| TN - Tunisia | 2 |
| TR - Turchia | 2 |
| AE - Emirati Arabi Uniti | 1 |
| AM - Armenia | 1 |
| AT - Austria | 1 |
| BG - Bulgaria | 1 |
| BJ - Benin | 1 |
| DO - Repubblica Dominicana | 1 |
| ID - Indonesia | 1 |
| JM - Giamaica | 1 |
| MW - Malawi | 1 |
| NO - Norvegia | 1 |
| NZ - Nuova Zelanda | 1 |
| SG - Singapore | 1 |
| SK - Slovacchia (Repubblica Slovacca) | 1 |
| SO - Somalia | 1 |
| TT - Trinidad e Tobago | 1 |
| Totale | 682 |
| Città | # |
|---|---|
| Fairfield | 34 |
| Ashburn | 28 |
| Houston | 26 |
| Buffalo | 22 |
| Milan | 21 |
| Ann Arbor | 19 |
| Santa Cruz | 16 |
| Seattle | 15 |
| Cambridge | 13 |
| Woodbridge | 13 |
| Frederiksberg | 11 |
| University Park | 11 |
| Beijing | 9 |
| Shanghai | 9 |
| Frankfurt am Main | 8 |
| Mountain View | 8 |
| Wilmington | 7 |
| Redmond | 6 |
| San Diego | 6 |
| Nürnberg | 5 |
| Taipei | 5 |
| Toronto | 5 |
| Wuhan | 5 |
| Bengaluru | 4 |
| Clearwater | 4 |
| Dong Ket | 4 |
| Dublin | 4 |
| Scranton | 4 |
| Amsterdam | 3 |
| Brno | 3 |
| Lagos | 3 |
| Lappeenranta | 3 |
| Rome | 3 |
| San Jose | 3 |
| Uppsala | 3 |
| Washington | 3 |
| Absecon | 2 |
| Athens | 2 |
| Bucharest | 2 |
| Cairo | 2 |
| Columbus | 2 |
| Dearborn | 2 |
| Footscray | 2 |
| Fremont | 2 |
| Hangzhou | 2 |
| Islamabad | 2 |
| Las Vegas | 2 |
| Lille | 2 |
| Milpitas | 2 |
| Paris | 2 |
| Philadelphia | 2 |
| Phoenix | 2 |
| Pretoria | 2 |
| Québec | 2 |
| Sydney | 2 |
| Teboulba | 2 |
| Toulouse | 2 |
| Véry | 2 |
| Wynberg | 2 |
| Andover | 1 |
| Ankara | 1 |
| Auburn | 1 |
| Aversa | 1 |
| Bank | 1 |
| Barcelona | 1 |
| Boardman | 1 |
| Boulder | 1 |
| Callao | 1 |
| Chandler | 1 |
| Changchun | 1 |
| Changsha | 1 |
| Charlotte | 1 |
| Cheyenne | 1 |
| Chicago | 1 |
| Compiègne | 1 |
| Cormano | 1 |
| Dallas | 1 |
| Dekalb | 1 |
| Dundee | 1 |
| Durban | 1 |
| Düsseldorf | 1 |
| Edinburgh | 1 |
| Engels | 1 |
| Frankfurt Am Main | 1 |
| Glasgow | 1 |
| Gloucester | 1 |
| Guangzhou | 1 |
| Guido | 1 |
| Hanoi | 1 |
| Helsinki | 1 |
| Istanbul | 1 |
| Kerava | 1 |
| Kiel | 1 |
| Kingston | 1 |
| Kolkata | 1 |
| Las Palmas | 1 |
| Lausanne | 1 |
| Lima | 1 |
| London | 1 |
| Los Angeles | 1 |
| Totale | 433 |
| Nome | # |
|---|---|
| Estimating point and density forecasts for the US economy with a factor-augmented vector autoregressive DSGE model, file e39773b2-3e7c-35a3-e053-3a05fe0aac26 | 247 |
| Policy-oriented macroeconomic forecasting with hybrid DGSE and time-varying parameter VAR models, file e39773b1-e27b-35a3-e053-3a05fe0aac26 | 181 |
| Comparing Hybrid DSGE Models, file e39773b1-e279-35a3-e053-3a05fe0aac26 | 112 |
| Macroprudential policy and forecasting using Hybrid DSGE models with financial frictions and State space Markov-Switching TVP-VARs, file e39773b1-f95c-35a3-e053-3a05fe0aac26 | 100 |
| Does Trade Foster Institutions? An Empirical Assessment, file e39773b1-7a72-35a3-e053-3a05fe0aac26 | 69 |
| Limited asset market participation and the euro area crisis: an empirical dsge model, file e39773b8-515d-35a3-e053-3a05fe0aac26 | 2 |
| DSGE model-based forecasting of modelled and nonmodelled inflation variables in South Africa, file e39773b2-40cc-35a3-e053-3a05fe0aac26 | 1 |
| Totale | 712 |
| Categoria | # |
|---|---|
| all - tutte | 1.011 |
| article - articoli | 0 |
| book - libri | 0 |
| conference - conferenze | 0 |
| curatela - curatele | 0 |
| other - altro | 0 |
| patent - brevetti | 0 |
| selected - selezionate | 0 |
| volume - volumi | 0 |
| Totale | 1.011 |
| Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018/2019 | 32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 14 |
| 2019/2020 | 107 | 17 | 8 | 8 | 18 | 8 | 12 | 8 | 6 | 11 | 2 | 9 | 0 |
| 2020/2021 | 74 | 5 | 8 | 2 | 7 | 8 | 10 | 4 | 5 | 5 | 8 | 5 | 7 |
| 2021/2022 | 111 | 0 | 8 | 7 | 19 | 21 | 7 | 5 | 5 | 11 | 4 | 17 | 7 |
| 2022/2023 | 74 | 11 | 13 | 13 | 10 | 2 | 11 | 0 | 1 | 2 | 7 | 3 | 1 |
| 2023/2024 | 21 | 0 | 0 | 3 | 3 | 0 | 6 | 1 | 0 | 0 | 4 | 4 | 0 |
| Totale | 712 | ||||||||||||