LEADER 04861oam 22011774 450 001 9910788688903321 005 20230828230410.0 010 $a1-4623-0036-7 010 $a1-4527-8848-0 010 $a1-283-51897-X 010 $a1-4527-0150-4 010 $a9786613831422 035 $a(CKB)3360000000444045 035 $a(EBL)3014536 035 $a(SSID)ssj0000940054 035 $a(PQKBManifestationID)11571939 035 $a(PQKBTitleCode)TC0000940054 035 $a(PQKBWorkID)10937830 035 $a(PQKB)11353558 035 $a(OCoLC)694141241 035 $a(MiAaPQ)EBC3014536 035 $a(IMF)WPIEE2006143 035 $a(EXLCZ)993360000000444045 100 $a20020129d2006 uf 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAre More Competitive Banking Systems More Stable? /$fMartin Cihak, Simon Wolfe, Klaus Schaeck 210 1$aWashington, D.C. :$cInternational Monetary Fund,$d2006. 215 $a1 online resource (37 p.) 225 1 $aIMF Working Papers 300 $a"June 2006." 311 $a1-4518-6403-5 320 $aIncludes bibliographical references. 327 $a""Contents""; ""I. INTRODUCTION""; ""II. LITERATURE REVIEW""; ""A. Competition and Concentration""; ""B. Concentration and Stability""; ""C. Competition and Stability""; ""D. Regulation, Supervision and Stability""; ""III. METHODOLOGY""; ""A. Duration Analysis""; ""B. Logistic Probability Analysis""; ""C. Panzar and Rosse (1987) H-Statistic""; ""IV. DATA AND SUMMARY STATISTICS""; ""V. REGRESSION RESULTS""; ""A. Main Results""; ""B. Robustness Tests""; ""C. Competitiveness, Regulation and Systemic Crises""; ""VI. CONCLUDING REMARKS""; ""DEFINITIONS OF VARIABLES AND DATA SOURCES"" 327 $a""REFERENCES"" 330 3 $aThis paper provides the first empirical analysis of the cross-country relationship between a direct measure of competitive conduct of financial institutions and banking system fragility. Using the Panzar and Rosse H-Statistic as a measure for competition in 38 countries during 1980-2003, we present evidence that more competitive banking systems are less prone to systemic crises and that time to crisis is longer in a competitive environment. Our results hold when concentration and the regulatory environment are controlled for and are robust to different methodologies, different sampling periods, and alternative samples. 410 0$aIMF Working Papers; Working Paper ;$vNo. 2006/143 606 $aBanks and banking 606 $aBank management 606 $aBanks and Banking$2imf 606 $aEconometrics$2imf 606 $aFinance: General$2imf 606 $aMacroeconomics$2imf 606 $aBanks$2imf 606 $aDepository Institutions$2imf 606 $aMicro Finance Institutions$2imf 606 $aMortgages$2imf 606 $aGeneral Financial Markets: General (includes Measurement and Data)$2imf 606 $aDiscrete Regression and Qualitative Choice Models$2imf 606 $aDiscrete Regressors$2imf 606 $aProportions$2imf 606 $aFinancial Crises$2imf 606 $aBanking$2imf 606 $aFinance$2imf 606 $aEconometrics & economic statistics$2imf 606 $aEconomic & financial crises & disasters$2imf 606 $aCompetition$2imf 606 $aCommercial banks$2imf 606 $aLogit models$2imf 606 $aSystemic crises$2imf 606 $aBanks and banking$2imf 606 $aEconometric models$2imf 606 $aFinancial crises$2imf 607 $aUnited States$2imf 615 0$aBanks and banking. 615 0$aBank management. 615 7$aBanks and Banking 615 7$aEconometrics 615 7$aFinance: General 615 7$aMacroeconomics 615 7$aBanks 615 7$aDepository Institutions 615 7$aMicro Finance Institutions 615 7$aMortgages 615 7$aGeneral Financial Markets: General (includes Measurement and Data) 615 7$aDiscrete Regression and Qualitative Choice Models 615 7$aDiscrete Regressors 615 7$aProportions 615 7$aFinancial Crises 615 7$aBanking 615 7$aFinance 615 7$aEconometrics & economic statistics 615 7$aEconomic & financial crises & disasters 615 7$aCompetition 615 7$aCommercial banks 615 7$aLogit models 615 7$aSystemic crises 615 7$aBanks and banking 615 7$aEconometric models 615 7$aFinancial crises 700 $aCihak$b Martin$01106217 701 $aWolfe$b Simon$01558653 701 $aSchaeck$b Klaus$01509560 801 0$bDcWaIMF 906 $aBOOK 912 $a9910788688903321 996 $aAre More Competitive Banking Systems More Stable$93823224 997 $aUNINA LEADER 06042oam 22010934 450 001 9910961192503321 005 20250426110706.0 010 $a9786612844294 010 $a9781462326501 010 $a1462326501 010 $a9781451873740 010 $a1451873743 010 $a9781282844292 010 $a1282844296 010 $a9781452714745 010 $a1452714746 035 $a(CKB)3170000000055366 035 $a(SSID)ssj0000940050 035 $a(PQKBManifestationID)11528464 035 $a(PQKBTitleCode)TC0000940050 035 $a(PQKBWorkID)10947841 035 $a(PQKB)11676837 035 $a(OCoLC)694140989 035 $a(MiAaPQ)EBC1608847 035 $a(IMF)WPIEE2009227 035 $a(IMF)WPIEA2009227 035 $aWPIEA2009227 035 $a(EXLCZ)993170000000055366 100 $a20020129d2009 uf 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAnalyzing Fiscal Space Using the MAMS Model - An Application to Burkina Faso 205 $a1st ed. 210 1$aWashington, D.C. :$cInternational Monetary Fund,$d2009. 215 $a63 p. $cill 225 1 $aIMF Working Papers 300 $a"October 2009." 311 08$a9781451917925 311 08$a1451917929 327 $aIntro -- Contents -- I. Introduction -- II. Defining Fiscal Space -- III. The Mams Model and Burkina Faso Calibration -- A. Features of MAMS -- B. Baseline Calibration of MAMS -- IV. Creating Fiscal Space -- A. Prioritizing Expenditures -- B. Increasing Aid Inflows -- C. Raising Domestic Revenue -- D. Comparing Gains in Fiscal Space -- E. Macroeconomic Impact -- F. Impact on Income Distribution -- G. Impact on MDGs -- V. Using Fiscal Space -- A. Human Development Spending Versus Infrastructure Spending -- B. Macroeconomic Impact -- C. Impact on Income distribution -- D. Impact on MDGs -- VI. Lessons -- References -- Tables -- 1. Factor Intensity by Sector -- Figures -- 1. MAMS Baseline Calibration and IMF Forecasts -- 2. Structural Change in the MAMS Baseline Simulation -- 3. Fiscal Space in the Prioritized Scenario -- 4. Fiscal Space in the Aid Scenario -- 5. Fiscal Space in the Revenue Scenario, 2007-30 -- 6. Comparing Fiscal Space in Priority, Aid, and Revenue Scenarios -- 7. Fiscal Space and Targeted Spending Increases -- 8. Cumulative Change in Real GDP, 2007-30 -- 9. Real GDP, 2007-30 -- 10. Trade Balance and Absorption -- 11. Reallocation of Factors Across Sectors in the Aid Scenario -- 12. Real Exchange Rate Adjustment -- 13. Impact on Income Distribution by Household Type -- 14. National Poverty Rate and Food Prices -- 15. Poverty Rates by Household Group -- 16. Education and Health MDG Indicators -- 17. Human Development vs. Infrastructure Spending -- 18. Real GDP Impact -- 19. Balance of Payments Indicators -- 20. Impact on Income Distribution by Household Type -- 21. Poverty Impact -- 22. Education and Health MDG Indicators -- Appendices -- I. Modeling of MDG Sectors in MAMS -- II. Budget Composition in Burkina Faso. 330 3 $aThis paper analyses economic implications and the transmission mechanisms of different options for creating and using fiscal space. For creating fiscal space, we consider prioritizing expenditures, raising revenue, and scaled-up aid. Fiscal space is used for increasing health and education spending, infrastructure spending, or both. The analysis takes place within the World Bank's MAMS model, which is a multisectoral real computable general equilibrium model that incorporates the Millennium Development Goals. The model has been calibrated for Burkina Faso, which serves as an illustrative country example. Some of the key results are that absorbing a more educated labor force requires fundamental structural change in the economy; increasing health and education spending can face sizeable capacity constraints; and infrastructure spending has a positive effect on growth as well as education and health outcomes. 410 0$aIMF Working Papers; Working Paper ;$vNo. 2009/227 517 3 $aAnalyzing fiscal space using MAMS model 606 $aFiscal policy$zBurkina Faso$xEconometric models 606 $aEducation$2imf 606 $aEducation: General$2imf 606 $aExpenditure$2imf 606 $aExpenditures, Public$2imf 606 $aFiscal Policy$2imf 606 $aFiscal policy$2imf 606 $aFiscal space$2imf 606 $aIncome economics$2imf 606 $aLabor economics$2imf 606 $aLabor Economics: General$2imf 606 $aLabor$2imf 606 $aLabour$2imf 606 $aMacroeconomics$2imf 606 $aNational Government Expenditures and Related Policies: General$2imf 606 $aPublic finance & taxation$2imf 606 $aPublic Finance$2imf 606 $aWages$2imf 606 $aWages, Compensation, and Labor Costs: General$2imf 607 $aBurkina Faso$xEconomic policy$xEconometric models 607 $aBurkina Faso$xEconomic conditions$xEconometric models 607 $aBurkina Faso$2imf 615 0$aFiscal policy$xEconometric models. 615 7$aEducation 615 7$aEducation: General 615 7$aExpenditure 615 7$aExpenditures, Public 615 7$aFiscal Policy 615 7$aFiscal policy 615 7$aFiscal space 615 7$aIncome economics 615 7$aLabor economics 615 7$aLabor Economics: General 615 7$aLabor 615 7$aLabour 615 7$aMacroeconomics 615 7$aNational Government Expenditures and Related Policies: General 615 7$aPublic finance & taxation 615 7$aPublic Finance 615 7$aWages 615 7$aWages, Compensation, and Labor Costs: General 676 $a338.96625 712 02$aInternational Monetary Fund.$bAfrican Dept. 801 0$bDcWaIMF 906 $aBOOK 912 $a9910961192503321 996 $aAnalyzing Fiscal Space Using the MAMS Model - An Application to Burkina Faso$94371365 997 $aUNINA