Forecasting Social Unrest : A Machine Learning Approach /
We produce a social unrest risk index for 125 countries covering a period of 1996 to 2020. The risk of social unrest is based on the probability of unrest in the following year derived from a machine learning model drawing on over 340 indicators covering a wide range of macro-financial, socioeconomi...
| Autore principale: | Redl, Chris |
|---|---|
| Altri autori: | Hlatshwayo, Sandile |
| Natura: | Periodico |
| Lingua: | English |
| Pubblicazione: |
Washington, D.C. :
International Monetary Fund,
2021.
|
| Serie: | IMF Working Papers; Working Paper ;
No. 2021/263 |
| Soggetti: | |
| Accesso online: | Full text available on IMF |
Documenti analoghi
-
Reported Social Unrest Index : March 2022 Update /
di: Barrett, Philip
Pubblicazione: (2022) -
Nowcasting GDP : A Scalable Approach Using DFM, Machine Learning and Novel Data, Applied to European Economies /
di: Dauphin, Jean-Francois
Pubblicazione: (2022) -
Systematizing Macroframework Forecasting : High-Dimensional Conditional Forecasting with Accounting Identities /
di: Ando, Sakai
Pubblicazione: (2022) -
Measuring Social Unrest Using Media Reports /
di: Barrett, Philip
Pubblicazione: (2020) -
Mitigating Climate Change : Growth-Friendly Policies to Achieve Net Zero Emissions by 2050 /
di: Jaumotte, Florence
Pubblicazione: (2021)