Use of near-real-time global evidence from Google search data to estimate the immediate impacts of COVID-19 on demand for selected services
The results of this study were published as a World Bank Working Paper.
| Autor principal: | |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/122087 |
| _version_ | 1855539391308496896 |
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| author | CGIAR Research Program on Policies, Institutions, and Markets |
| author_browse | CGIAR Research Program on Policies, Institutions, and Markets |
| author_facet | CGIAR Research Program on Policies, Institutions, and Markets |
| author_sort | CGIAR Research Program on Policies, Institutions, and Markets |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The results of this study were published as a World Bank Working Paper. |
| format | Informe técnico |
| id | CGSpace122087 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| record_format | dspace |
| spelling | CGSpace1220872023-03-14T12:24:50Z Use of near-real-time global evidence from Google search data to estimate the immediate impacts of COVID-19 on demand for selected services CGIAR Research Program on Policies, Institutions, and Markets development rural development data covid-19 services demand systems agrifood systems time impacts world world bank paper The results of this study were published as a World Bank Working Paper. 2020-12-31 2022-10-06T13:53:43Z 2022-10-06T13:53:43Z Report https://hdl.handle.net/10568/122087 en Open Access application/pdf CGIAR Research Program on Policies, Institutions, and Markets. 2020. Use of near-real-time global evidence from Google search data to estimate the immediate impacts of COVID-19 on demand for selected services. Reported in Policies, Institutions, and Markets Annual Report 2020. Innovations. |
| spellingShingle | development rural development data covid-19 services demand systems agrifood systems time impacts world world bank paper CGIAR Research Program on Policies, Institutions, and Markets Use of near-real-time global evidence from Google search data to estimate the immediate impacts of COVID-19 on demand for selected services |
| title | Use of near-real-time global evidence from Google search data to estimate the immediate impacts of COVID-19 on demand for selected services |
| title_full | Use of near-real-time global evidence from Google search data to estimate the immediate impacts of COVID-19 on demand for selected services |
| title_fullStr | Use of near-real-time global evidence from Google search data to estimate the immediate impacts of COVID-19 on demand for selected services |
| title_full_unstemmed | Use of near-real-time global evidence from Google search data to estimate the immediate impacts of COVID-19 on demand for selected services |
| title_short | Use of near-real-time global evidence from Google search data to estimate the immediate impacts of COVID-19 on demand for selected services |
| title_sort | use of near real time global evidence from google search data to estimate the immediate impacts of covid 19 on demand for selected services |
| topic | development rural development data covid-19 services demand systems agrifood systems time impacts world world bank paper |
| url | https://hdl.handle.net/10568/122087 |
| work_keys_str_mv | AT cgiarresearchprogramonpoliciesinstitutionsandmarkets useofnearrealtimeglobalevidencefromgooglesearchdatatoestimatetheimmediateimpactsofcovid19ondemandforselectedservices |