LEADER 05045nam 2200685 a 450 001 9910418294103321 005 20180613000059.0 010 $a3-428-52425-X 035 $a(CKB)2670000000080237 035 $a(EBL)1116602 035 $a(OCoLC)715174107 035 $a(SSID)ssj0000530338 035 $a(PQKBManifestationID)12232014 035 $a(PQKBTitleCode)TC0000530338 035 $a(PQKBWorkID)10561627 035 $a(PQKB)10281225 035 $a(SSID)ssj0001016724 035 $a(PQKBManifestationID)11654342 035 $a(PQKBTitleCode)TC0001016724 035 $a(PQKBWorkID)11058591 035 $a(PQKB)10609656 035 $a(MiAaPQ)EBC1116602 035 $a(EXLCZ)992670000000080237 100 $a20070416d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aClassification and clustering in business cycle analysis$b[electronic resource] /$fUllrich Heilemann and Claus Weihs (eds.) 210 $aBerlin $cDuncker & Humblot$dc2007 215 $a1 online resource (168 p.) 225 1 $aRWI Schriften,$x0720-7212 ;$vHeft 79 300 $aConference papers. 311 $a3-428-12425-1 320 $aIncludes bibliographical references. 327 $aPreface; Contents; Ullrich Heilemann and Claus Weihs: Introduction; References; Victor Zarnowitz: Phases and Stages of Recent U.S. Business Cycles; 1. Introduction; 2. Growth Cycles and Business Cycles; 3. Stages of Expansion and Contraction; 4. Applicability to U.S. Postwar Expansions; 5. Applicability to U.S. Postwar Contractions; 6. An Extension to the Last Recession; 7. Conclusion; References; Ullrich Heilemann and Heinz Josef Mu?nch: The U.S. Business Cycle and its Phases 1948-2000; 1. Introduction; 2. Re-examining Meyer/Weinberg; 3. Stability of Meyer/Weinberg's Results 327 $a3.1 A Four-phase Classification for 1973 to 20003.2 New Sample Performance of the M/W Scheme; 3.3 Outside Sample Performance; 3.4 Stability of the M/W-Scheme in the New Sample; 4. Summary and Conclusions; References; Appendix: Linear Discriminant Analysis; Claus Weihs and Ursula Garczarek: Stability of Multivariate Representation of Business Cycles over Time; 1. Introduction; 2. Data; 3. Classification of Business Cycle Phases; 4. Classification Methods and Classification Rules; 5. Double Leave-one-cycle-out Cross Validation; 6. Classification Results and Resulting Models 327 $a4. Aspekte verschiedener Trendbereinigungsverfahren5. Beispiele zur unterschiedlichen Wendepunktdatierung; 6. Zykluskonzept und Erkla?rungsansa?tze; 7. Fazit; Literatur; Anhang: Fragebogen der Monatsumfrage in der Industrie; Bernd Lucke und Malte Knu?ppel: Unternehmensgro?ßenklassen im ifo-Konjunkturtest: eine Burns-Mitchell-Analyse; 1. Einleitung; 2. Burns-Mitchell-Methodologie; 3. Bestimmung der Referenzzyklen; 4. Gescha?ftsklimadaten nach Unternehmensgro?ßenklassen; 5. Bescha?ftigungseffekte; 6. Schlussbemerkungen; Literatur; Anhang 327 $aKatharina Morik and Stefan Ru?ping: An Inductive Logic Programming Approach to the Classification of Phases in Business Cycles1. Introduction; 2. Inductive Logic Programming; 2.1 MOBAL; 2.1.1 The Rule Discovery Tool RDT; 2.1.2 Rule Inspection; 2.1.3 Knowledge Revision; 3. Experiments on German Business Cycle Data; 3.1 Discretization; 3.2 Modeling Four Phases Without Time Intervals; 3.3 Modeling Four Phases with Time Intervals; 3.4 Modeling Two Phases; 3.5 Concept Shift; 4. Conclusion and Further Work; References 327 $aUrsula Garczarek and Claus Weihs: Univariate Characterization of the German Business Cycle 1955-1994 330 $aHauptbeschreibung The analysis of cyclical macroeconomic phenomena is an important field of econometric research. In the recent past, research interests have de-emphasized quantitative forecasting exercises and have addressed the qualitative diagnosis of the relative stance of the economy regarding ""upswing"", ""recession"", or ""boom"" periods, i. e. the classification of the state of the economy into a limited number of discrete states. In this context the principal challenge is to reduce the multifaceted and sometimes abundant quantitative information about the business cycle to 410 0$aRWI Schriften ;$vHeft 79. 606 $aBusiness cycles$zUnited States$xStatistics$vCongresses 606 $aBusiness cycles$zGermany$xStatistics$vCongresses 608 $aElectronic books. 615 0$aBusiness cycles$xStatistics 615 0$aBusiness cycles$xStatistics 676 $a338.542 701 $aHeilemann$b Ullrich$0923986 701 $aWeihs$b Claus$0982955 712 02$aRheinisch-Westfa?lisches Institut fu?r Wirtschaftsforschung Essen. 712 02$aUniversita?t Dortmund.$bFachbereich Statistik. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910418294103321 996 $aClassification and clustering in business cycle analysis$92243348 997 $aUNINA