A New Keynesian Model of the Armenian Economy / / Ara Stepanyan, Era Dabla-Norris, Ashot Mkrtchyan

• Record Nr.: UNINA9910969850103321
• Autore: Stepanyan Ara
• Pubbl/distr/stampa: Washington, D.C. : , : International Monetary Fund, , 2009
• ISBN: 9786612842870; 9781462369904; 1462369901; 9781282842878; 1282842870; 9781451872132; 1451872135; 9781451993325; 1451993323
• Edizione: [1st ed.]
• Descrizione fisica: 43 p. : ill
• Collana: IMF Working Papers
• Altri autori (Persone): Dabla-NorrisEra; MkrtchyanAshot
• Disciplina: 332.1
• Soggetti: Inflation targeting - Armenia; Monetary policy - Armenia; Banks and Banking; Central Banks and Their Policies; Consumption; Currency; Deflation; Economics; Exchange rates; Exports and Imports; Finance; Financial services; Foreign Exchange; Foreign exchange; General Aggregative Models: Forecasting and Simulation; Inflation; Interest rates; Interest Rates: Determination, Term Structure, and Effects; International economics; International finance; Macroeconomics; Macroeconomics: Consumption; Monetary Policy; National accounts; Neoclassical; Price Level; Prices; Real exchange rates; Real interest rates; Remittances; Saving; Wealth; Armenia, Republic of
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Intro -- Contents -- I. Introduction -- II. Stylized Facts About the Armenian Economy -- A. Stylized Facts on Long-Term Trends -- B. Business Cycle Fluctuations -- III. Model Environment -- A. Households -- B. Firms -- C. Equilibrium -- D. Model Calibration and Estimation -- IV. Model Properties -- A. Impulse Responses -- B. Correspondence Between the Model and Observed Data -- V. Conclusion -- Figures -- 1. Long-Term Trends and Business Cycle Movements from Trends -- 2. Business CycleFluctuations of Detrended Series -- 3. Home Good Inflation Shock -- 4. Imported Good Inflation Shock -- 5. Productivity Shock -- 6. Remittances Shock -- 7. Foreign Output Shock -- 8. Policy Interest Rate -- 9. Estimated and Observed Variables -- 10. Estimated Structural Shocks -- 11. Population Standard Deviations -- 12. Population Autocorrelation Coefficients -- 13. Population Cross-Correlation Coefficients -- 14. Historical Model Forecasts -- Appendices -- A. Model Equations -- B. Data Description -- References.
• Sommario/riassunto: This paper develops a small open economy dynamic stochastic general equilibrium (DSGE) model of the Armenian economy. The structure of the model is largely motivated by recent developments in DSGE modeling, with key extensions to incorporate specific structural characteristics of the Armenian economy. The resultant model can be used to simulate monetary policy paths and help analyze the robustness of policy conclusions. The paper tests the model’s properties on Armenian data, demonstrating that the main stylized features relevant for monetary policy making are well captured by the model.

Advancing Resilient Performance / / edited by Christopher P. Nemeth, Erik Hollnagel

• Record Nr.: UNINA9910522945003321
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
• ISBN: 3-030-74689-5
• Edizione: [1st ed. 2022.]
• Descrizione fisica: 1 online resource (161 pages)
• Collana: Engineering Series
• Disciplina: 658.155
• Soggetti: Security systems; Sustainability; Mechatronics; Electronic digital computers - Evaluation; System theory; Computer security; Security Science and Technology; System Performance and Evaluation; Complex Systems; Principles and Models of Security
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: From Resilience Engineering to Resilient Performance -- Development of Resilience Engineering on Worksites -- Fatigue Risk Management System as a practical approach to improve resilience in 24/7 operations -- Using the Resilience Assessment Grid to Analyse and Improve Organisational Resilience of a Hospital Ward -- Learning from Everyday Work: Making organisations Safer by Supporting Staff in Sharing Lessons about Their Everyday Trade-offs and Adaptations -- Reflections on the Experience of Introducing a New Learning Tool in Hospital Settings -- Resilient Performance in Aviation -- Assessing the impacts of ship automation using the Functional Resonance Analysis Method -- A Methodological Framework for Assessing and Improving the Capacity to Respond to the Diversity of Situations that May Arise -- Addressing structural secrecy as a way of nurturing resilient ; performance -- The 2nd Step: Surprise Is Inevitable. Now What? -- Epilogue: Quo Vadis?
• Sommario/riassunto: Resilience Engineering (RE) studies have successfully identified and described many instances of resilient performance in high hazard sectors as well as in the far more frequent cases where people and organisations cope with the uncertainties of daily operations. Since RE was first described in 2006, a steady accumulation of insights and efforts have provided the basis for practical tools and methods. This development has been documented by a series of texts in the Resilience Engineering Perspectives series as well as by a growing number of papers and reports. This book encapsulates the essential practical lessons from the use of Resilience Engineering learned for more than the previous ten years. The main contents are a series of chapters written by those who have been instrumental in these applications. To increase the value for the reader, each chapter will include: rationale for the overall approach; data sought and reason(s) for choosing; data sources used, data analyses performed, and how recommendations were made and turned into practice. Serving as a reference for practitioners who want to analyse, support, and manage resilient performance, this book also advances research into RE by inquiring why work goes well in unpredictable environments, improving work performance, or compensating for deficiencies. .