The Austrian business cycle in the European context / / Marcus Scheiblecker |
Autore | Scheiblecker Marcus <1967-> |
Edizione | [First edition.] |
Pubbl/distr/stampa | Bern, : Peter Lang International Academic Publishing Group, 2018 |
Descrizione fisica | 1 online resource (XIX, 207 pages) : illustrations, charts; digital, PDF file(s) |
Disciplina | 338.542094360904 |
Collana | Forschungsergebnisse der Wirtschaftsuniversität Wien |
Soggetto topico |
Business cycles - Austria - History - 20th century
Business cycles - Austria - History - 21st century Business cycles - Germany - History Business cycles - European Union countries - History |
Soggetto non controllato |
Austrian
Business Context Cycle European Geschichte 1976-2005 Konjunktur Konjunkturanalyse Konjunkturzyklus Österreich Scheiblecker |
ISBN | 3-631-75458-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover -- Zusammenfassung -- Abstract -- List of figures and tables -- List of abbreviations -- List of variables -- 1. Research motivation and overview -- 2. The data -- 3. Methods of extracting business cycle characteristics -- 3.1 Defining the business cycle -- 3.1.1 The classical business cycle definition -- 3.1.2 The deviation cycle definition -- 3.2 Isolation of business cycle frequencies -- 3.2.1 Outliers -- 3.2.2 Calendar effects -- 3.2.3 Seasonal variations -- 3.2.4 The trend -- 4. Identifying the business cycle -- 4.1 Construction of composite economic indices -- 4.1.1 The empirical NBER approach -- 4.1.2 Index models -- 4.2 Univariate determination of the business cycle -- 5. Analysing cyclical comovements -- 5.1 Time domain statistics for analysing comovements -- 5.2 Frequency domain statistics for analysing comovements -- 5.2.1 Coherence -- 5.2.2 Phase spectra and mean delay -- 5.2.3 Dynamic correlation -- 5.2.4 Cohesion -- 6. Dating the business cycle -- 6.1 The expert approaches -- 6.2 The Bry-Boschan routine -- 6.3 Hidden Markovian-switching processes -- 6.4 Threshold autoregressive models -- 7. Analysis of turning points -- 7.1 Mean and average leads and lags -- 7.2 Contingency tables for turning points -- 7.3 The intrinsic lead and lag classification of dynamic factor models -- 7.4 Concordance indicator -- 7.5 Standard deviation of the cycle -- 7.6 Mean absolute deviation -- 7.7 Triangle approximation -- 8. Results -- 8.1 Isolation of business cycle frequencies -- 8.1.1 First-order differences -- 8.1.2 The HP filter -- 8.1.3 The BK filter -- 8.2 Determination of the reference business cycle -- 8.2.1 Ad-hoc selection of the business cycle reference series -- 8.2.2 Determination of the business cycle by a dynamic factor model approach -- 8.3 Dating the business cycle.
8.3.1 Dating the business cycle in the ad-hoc selection framework -- 8.3.2 Dating the business cycle in the dynamic factor model framework -- 9. Comparing results with earlier studies on the Austrian business cycle -- 9.1 Comparing the results with the study by Altissimo et al. (2001) -- 9.2 Comparing the results with the study by Mönch - Uhlig (2004) -- 9.3 Comparing the results with the study by Cheung - Westermann (1999) -- 9.4 Comparing the results with the study by Brandner - Neusser (1992) -- 9.5 Comparing the results with the study by Forni - Hallin - Lippi - Reichlin (2000) -- 9.6 Comparing the results with the study by Breitung - Eickmeier (2005) -- 9.7 Comparing the results with the study by Artis - Marcellino - Proietti (2004) -- 9.8 Comparing the results with the study by Vijselaar - Albers (2001) -- 9.9 Comparing the results with the study by Artis - Zhang (1999) -- 9.10 Comparing the results with the study by Dickerson - Gibson - Tsakalotos (1998) -- 9.11 Comparing the results with the study by Artis - Krolzig - Toro (2004) -- 9.12 Comparing the results with the dating calendar of the CEPR -- 9.13 Comparing the results with the study by Breuss (1984) -- 9.14 Comparing the results with the study by Hahn - Walterskirchen (1992) -- 9.15 Comparison of the results of different dating procedures -- 9.15.1 Turning point dates of the Austrian business cycle -- 9.15.2 Turning point dates of the euro area business cycle -- 10. Concluding remarks -- References -- Annex. |
Record Nr. | UNINA-9910297053803321 |
Scheiblecker Marcus <1967-> | ||
Bern, : Peter Lang International Academic Publishing Group, 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Dynamische Fiskalpolitik : Makroökonomische Wirkungen der Fiskalpolitik in einem Real Business Cycle-Modell / Kurt Schmidt, Martin Gasche |
Autore | Gasche Martin |
Edizione | [1st, New ed.] |
Pubbl/distr/stampa | Frankfurt a.M, : PH02, 2018 |
Descrizione fisica | 1 online resource (352 p.) : , EB00 |
Collana | Finanzwissenschaftliche Schriften |
Soggetto topico |
Economic theory & philosophy
Economic growth Economic forecasting Political economy |
Soggetto non controllato |
Business
Cycle Defizit Dynamische einem Fiskalpolitik Gasche Konjunkturmodell Makroökonomische Modell RBC-Modell Real reale Konjunkturtheorie Realer-Konjunkturzyklus-Theorie Staatsausgabenstruktur Staatseinnahmenstruktur Staatsschulden Transmissionsmechanismus Wachstumstheorie Wirkungen |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ger |
Nota di contenuto | Aus dem Inhalt: Das Grundmodell der RBC-Theorie - Kurz- und langfristige makroökonomische Effekte der Staatsausgaben (Staatskonsum, öffentliche Investitionen) und der Staatseinnahmen (Einkommensteuer, Konsumsteuer, Energiesteuer, Staatsverschuldung, Sozialversicherungsbeiträge) - Makro-ökonomische Effekte einer Änderung der Staatsausgabenstruktur, einer Änderung der Steuereinnahmenstruktur und einer kreditfinanzierten Einkommensteuersenkung - Unterschiedliche Finanzierungsformen von zusätzlichen öffentlichen Investitionen im Vergleich - Makroökonomische Effekte eines Energiepreisschocks und Handlungsalternativen der Fiskalpolitik - Evaluation durch Nutzenvergleich. |
Record Nr. | UNINA-9910563195103321 |
Gasche Martin | ||
Frankfurt a.M, : PH02, 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Sharkovsky Ordering / Alexander M. Blokh, Oleksandr M. Sharkovsky |
Autore | Sharkovsky, Oleksandr M. |
Pubbl/distr/stampa | Cham, : Springer, 2022 |
Descrizione fisica | viii, 109 p. : ill. ; 24 cm |
Soggetto non controllato |
Bifurcation theory
Chaos theory Coexistence of Cycles Combinatorial Dynamics Continuous Interval Maps Cycle Dynamical systems Multidimansional Dynamical Systems Sharkovsky Ordering Topological dynamics Topological entropy |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0278130 |
Sharkovsky, Oleksandr M. | ||
Cham, : Springer, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Sharkovsky Ordering / Alexander M. Blokh, Oleksandr M. Sharkovsky |
Autore | Sharkovsky, Oleksandr M. |
Pubbl/distr/stampa | Cham, : Springer, 2022 |
Descrizione fisica | viii, 109 p. : ill. ; 24 cm |
Soggetto non controllato |
Bifurcation theory
Chaos theory Coexistence of Cycles Combinatorial Dynamics Continuous Interval Maps Cycle Dynamical systems Multidimansional Dynamical Systems Sharkovsky Ordering Topological dynamics Topological entropy |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN00278130 |
Sharkovsky, Oleksandr M. | ||
Cham, : Springer, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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