03882nam 2200637Ia 450 991046400290332120181114215148.01-4623-6182-X1-4527-4300-21-282-84368-01-4518-7302-69786612843686(CKB)3170000000055307(EBL)1608370(SSID)ssj0000943254(PQKBManifestationID)11484314(PQKBTitleCode)TC0000943254(PQKBWorkID)10974831(PQKB)11287967(OCoLC)642044575(MiAaPQ)EBC1608370(EXLCZ)99317000000005530720091006d2009 uf 0engtxtccrSpillovers from the rest of the world into Sub-Saharan African countries[electronic resource] /Prepared by Paulo Flavio Nacif Drummond and Gustavo Ramirez[Washington, DC] International monetary fund, African Department20091 online resource (22 p.)IMF working paper ;WP/09/155"July 2009."1-4519-1730-9 Includes bibliographical references.Contents; I. World Growth Spillovers; Figures; 1. Sub-Saharan Africa and the Rest of the World: Real GDP Growth; II. Previous Studies; III. Channels of Transmission; 2. Sub-Saharan Africa: Total Merchandise Exports by Destinations, 1985 to 2008; 3. Sub-Saharan Africa: Destination of Exports; IV. Quantitative Estimates of Spillovers; 4. Capital Inflows in Sub-Saharan Africa; 5. 3-month Libor to Treasury Bill Rate Spreads and the VIX Index; Tables; 1. GMM Regression Output for SSA Real GDP Growth6. Selection of the Optimal Size of Shock for the Absolute Value of Income Effect of Oil Price Changes 7. Percent of Non-Zeros in Variable Measuring Income Effect of Oil Price Changes Greater than 5 Percent; 8. Recursive Estimators of the GMM Model; V. Applications to Sub-Saharan African Countries; 9. Out-of-Sample Forecast: Changes in Growth as Forecasted by WEO and by the Spillover Model for 2008 to 09; 2. Sub-Saharan Africa: Out-of-Sample Real GDP Growth as Forecasted in the WEO and the GMM Model; 10. Spillovers Model and WEO Forecasts Vs. Actual 2008 Real Growth11. Forecasting Errors in WEO and Spillover Model for 2008 VI. Conclusions; Box; ReferencesThis paper investigates the impact of a global slowdown on individual African countries using a series of dynamic panel regressions for countries in the region, relating real growth in domestic output to world growth in trade weighted by partner countries and several control variables: oil prices, non-oil prices, financial variables, and country fixed effects. Estimates are then applied to prepare country-specific simulations. The model, which is shown to estimate well out-of-sample spillover effects in the region, shows that countries in the region are significantly affected by lower externalIMF working paper ;WP/09/155.StocksPricesAfrica, Sub-SaharanEconometric modelsCapital stockAfrica, Sub-SaharanEconometric modelsBank loansAfrica, Sub-SaharanEconometric modelsElectronic books.StocksPricesEconometric models.Capital stockEconometric models.Bank loansEconometric models.Drummond Paulo Flavio Nacif1966-861998Ramírez Gustavo861999International Monetary Fund.African Dept.MiAaPQMiAaPQMiAaPQBOOK9910464002903321Spillovers from the rest of the world into Sub-Saharan African countries1924025UNINA02225nas 2200649-a 450 99620323350331620240419161234.0(CKB)954927686726(CONSER)---84643335-(EXLCZ)9995492768672619840106b19842000 --- aengtxtrdacontentcrdamediacrrdacarrierStatistical bulletin SBNew York, Nwe York :Metropolitan Life Insurance Co.,©1984-©2000.1 online resourceTitle from cover.Vols. for <Oct.-Dec. 1988>- published: Baltimore, MD.Print version: Statistical bulletin (Metropolitan Life Insurance Company : 1984) (DLC) 84643335 (OCoLC)10269119 0741-9767 SBMETROPOLITAN LIFE INSURANCE COMPANY STATISTICAL BULLETIN S BSTATISTICAL BULLETIN-METROPOLITAN LIFE INSURANCE COMPANYSTAT BULL METROP INSUR COSTATISTICAL BULLETIN (METROPOLITAN LIFE INSURANCE COMPANYStat. bull.- Metrop Life Insur. Co.Life insuranceUnited StatesPeriodicalsLife insurancefast(OCoLC)fst01715858Insurance, LifeLife ExpectancyPublic HealthVital StatisticsUnited StatesStatistics, VitalPeriodicalsUnited StatesStatistics, MedicalPeriodicalsUnited StatesfastUnited StatesPeriodicals.fastMedical statistics.fastVital statistics.fastPeriodicals.lcgftVital statistics.lcgftStatistics, Medical.Periodical.Life insuranceLife insurance.Insurance, Life.Life Expectancy.Public Health.Vital Statistics.304.6/0973Metropolitan Life Insurance Company.JOURNAL996203233503316exl_impl conversionStatistical bulletin1326038UNISA