05467oam 22011894 450 991096191470332120250426110952.0978661284222197814623144161462314414978145199837514519983769781451871456145187145797812828422291282842226(CKB)3170000000055157(SSID)ssj0000944027(PQKBManifestationID)11559071(PQKBTitleCode)TC0000944027(PQKBWorkID)10982754(PQKB)10713499(OCoLC)762819540(IMF)WPIEE2008287(MiAaPQ)EBC1605866(IMF)WPIEA2008287WPIEA2008287(EXLCZ)99317000000005515720020129d2008 uf 0engurcnu||||||||txtccrExplaining Episodes of Growth Accelerations, Decelerations, and Collapses in Western Africa /Gonzalo Salinas, Patrick Imam1st ed.Washington, D.C. :International Monetary Fund,2008.1 online resource (46 pages) illustrationsIMF Working PapersIMF working paper ;WP/08/287Bibliographic Level Mode of Issuance: Monograph9781451915822 1451915829 Intro -- CONTENTS -- Contents -- I. Introduction -- II. West African Economic Performance in Perspective -- III. Growth Turnarounds and Their Determinants -- A. Identifying Growth Turnarounds -- B. Stylized Facts of Turnarounds -- C. Growth Determinants -- Terms of Trade -- Remittances -- Foreign Aid -- Governance -- Rainfall -- Ethnic Fractionalization -- Distance/Landlockedness -- Climate and Malaria -- IV. Methodology -- V. Econometric Analysis -- VI. Conclusion And Policy Implications.The growth literature has had problems explaining the "sub-Saharan African growth dummy" in cross-country regressions. Instead of taking the usual approach of focusing on long-run growth and assuming that sub-Saharan countries have homogenous parameters in growth regressions, we concentrate our analysis on episodes of growth turnarounds (identifying growth accelerations, decelerations, and collapses) and use only West African countries in our sample. The driving force of growth turnarounds are estimated by analyzing external shocks, political and institutional changes, economic reforms, and indicators particularly relevant to the region. Using probits for a group of 22 Western African economies for the period 1960-2006, we find that growth accelerations are most clearly associated with external shocks, economic liberalization, political stability, and closeness to the coast; decelerations occurred during short-lived regimes and when corruption indices weakened; and collapses are linked to external shocks, falling domestic credit, and proximity to the coast. We then identify policy implications.IMF Working Papers; Working Paper ;No. 2008/287Business cyclesAfrica, WestEconometric modelsEconomic developmentAfrica, WestEconometric modelsFinancial crisesAfrica, WestEconometric modelsAdministrative Processes in Public OrganizationsimfAggregate Factor Income DistributionimfBureaucracyimfCorporate crimeimfCorruptionimfCriminologyimfEconomic policyimfEmpirical Studies of TradeimfExports and ImportsimfForeign AidimfForeign aidimfIncomeimfInternational economicsimfInternational financeimfInternational reliefimfMacroeconomicsimfNternational cooperationimfRemittancesimfTerms of tradeimfWhite-collar crimeimfAfrica, WestEconomic conditionsEconometric modelsEquatorial Guinea, Republic ofimfBusiness cyclesEconometric models.Economic developmentEconometric models.Financial crisesEconometric models.Administrative Processes in Public OrganizationsAggregate Factor Income DistributionBureaucracyCorporate crimeCorruptionCriminologyEconomic policyEmpirical Studies of TradeExports and ImportsForeign AidForeign aidIncomeInternational economicsInternational financeInternational reliefMacroeconomicsNternational cooperationRemittancesTerms of tradeWhite-collar crime338.542Salinas Gonzalo1816054Imam Patrick1816071DcWaIMFBOOK9910961914703321Explaining Episodes of Growth Accelerations, Decelerations, and Collapses in Western Africa4372862UNINA