LEADER 04606nam 2200661Ia 450 001 9910463989903321 005 20211115221941.0 010 $a1-4623-9007-2 010 $a1-4527-2282-X 010 $a9786612843556 010 $a1-4518-7288-7 010 $a1-282-84355-9 035 $a(CKB)3170000000055290 035 $a(EBL)1608346 035 $a(SSID)ssj0000940063 035 $a(PQKBManifestationID)11519260 035 $a(PQKBTitleCode)TC0000940063 035 $a(PQKBWorkID)10946362 035 $a(PQKB)10314048 035 $a(OCoLC)712987789 035 $a(MiAaPQ)EBC1608346 035 $a(EXLCZ)993170000000055290 100 $a20090917d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBanking crises and crisis dating$b[electronic resource] $etheory and evidence /$fJohn H. Boyd, Gianni De Nicolo? and Elena Loukoianova 210 $a[Washington, D.C.] $cInternational Monetary Fund, Research Dept.$d2009 215 $a1 online resource (52 p.) 225 1 $aIMF working paper ;$vWP/09/141 300 $a"July 2009." 311 $a1-4519-1717-1 327 $aContents; I. Introduction and Summary; II. Major Classifications of Banking Crises; III. BC Indicators an d Their Discrepancies; IV. A Simple Banking Model; V. Evidence from Cross-Country Data: Benchmark Specifications; A. Logit Regressions with BC Indicators as Dependent Variables; B. SBS indicators Predict BC indicators; C. Logit Regressions with SBS Indicators as Dependent Variables; VI. Market Structure and Deposit Insurance; A. Bank Market Structure and Competition; B. Deposit Insurance; VII. Currency and "Twin" Crises; A. BC and SBS Indicators as Dependent Variables 327 $aB. Currency Crises as Dependent VariablesVIII. Evidence from Bank-Level Data; A. Measures of Systemic Bank Shocks; B. SBS indicators Predict BC indicators; C. Market Structure, Deposit Insurance and External Shocks; VI. Conclusion; References; Tables; 1. BC Indicators; 2. Logit Regressions with Start Date BC Indicators (crisis dates after the first crisis year excluded); 3. Logit Regressions with BC Indicators (all observations with crisis dating); 4. Logit Regressions: Do SBS Lending Indicators Predict BC Indicators?; 5. Logit Regressions: Do SBS Deposit Indicators Predict BC Indicators? 327 $a6. Logit Regressions with SBS Indicators ad Dependent Variables7. Logit Regressions: BC Indicators and Bank Concentration Measures; 8. Logit Regressions: SBS Indicators and Bank Concentration Measures; 9. Logit Regressions: BC Indicators, SBS Indicators and Deposit Insurance; 10. Logit Regressions: BC Indicators, SBS Indicators, Deposit Insurance Features and Quality of Institutions; 11. Logit Regressions: BC Indicators, Currency and Twin Crises; 12. Logit Regressions: SBS Indicators, Currency and Twin Crises; 13. Logit Regressions: Currency Crises and SBS Indicators 327 $a14. Bank Level Data, Random Effect Logit Regressions: SBS Indicators Predict BC Indicators15. Bank Level Data, Random Effect Logit Regressions: Determinants of SBS and BC Indicators; A1. ""Systemic"" Banking Crises and Crisis Dating in Different Classifications 330 $aMany empirical studies of banking crises have employed ""banking crisis"" (BC) indicators constructed using primarily information on government actions undertaken in response to bank distress. We formulate a simple theoretical model of a banking industry which we use to identify and construct theory-based measures of systemic bank shocks (SBS). Using both country-level and firm-level samples, we show that SBS indicators consistently predict BC indicators based on four major BC series that have appeared in the literature. Therefore, BC indicators actually measure lagged government responses to system 410 0$aIMF working paper ;$vWP/09/141. 606 $aBank failures$xEconometric models 606 $aBanks and banking$xEconometric models 606 $aEconomic indicators 608 $aElectronic books. 615 0$aBank failures$xEconometric models. 615 0$aBanks and banking$xEconometric models. 615 0$aEconomic indicators. 700 $aBoyd$b John H$0281840 701 $aDe Nicolo?$b Gianni$0375199 701 $aLoukoianova$b Elena$0901684 712 02$aInternational Monetary Fund.$bResearch Dept. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910463989903321 996 $aBanking crises and crisis dating$92156372 997 $aUNINA