9798196177187 - applied macroeconomic simulation with python: dsge modeling, agent-based systems, and policy stress testing de thatch, oliver j. (4 resultados)
- Tapa blanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 49,59
Envío por EUR 62,75Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware.
- Tapa blanda
- Impresión bajo demanda
Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 35,22
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Print on Demand.
- Tapa blanda
- Impresión bajo demanda
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 40,06
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Reactive PublishingApplied Macroeconomic Simulation with Python is a practical guide to building, testing, and interpreting computational macroeconomic models using Python. Designed for advanced students, economists, analysts, researchers, and technically minded finance professionals, this b…ook focuses on the modeling tools used to study economic systems, policy shocks, market dynamics, and structural uncertainty.The book introduces core approaches to macroeconomic simulation, including DSGE modeling, agent-based systems, numerical methods, calibration, sensitivity analysis, and policy stress testing. Readers will learn how computational models can be used to examine inflation, output, employment, monetary policy, fiscal policy, financial instability, and broader economic interactions.Rather than treating macroeconomics as a purely theoretical discipline, this book emphasizes implementation. It shows how Python can be used to construct models, run simulations, analyze outcomes, and compare different policy scenarios. Topics are presented with a focus on clarity, reproducibility, and practical application.Inside, readers will explore: DSGE model structure and simulation logicAgent-based approaches to heterogeneous economic behaviorPolicy stress testing and scenario designCalibration, shocks, and sensitivity analysisNumerical tools for solving and simulating macroeconomic systemsPython workflows for economic modeling and interpretationThis book is suitable for readers who already have a basic understanding of economics, statistics, and Python, and who want to move into more advanced computational macroeconomic analysis. It is not a shortcut or a promise of forecasting certainty. Instead, it provides a structured foundation for building models, testing assumptions, and studying how complex economies respond to changing conditions. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Tapa blanda
- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 39,28
Envío por EUR 43,43Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Reactive PublishingApplied Macroeconomic Simulation with Python is a practical guide to building, testing, and interpreting computational macroeconomic models using Python. Designed for advanced students, economists, analysts, researchers, and technically minded finance professionals, this b…ook focuses on the modeling tools used to study economic systems, policy shocks, market dynamics, and structural uncertainty.The book introduces core approaches to macroeconomic simulation, including DSGE modeling, agent-based systems, numerical methods, calibration, sensitivity analysis, and policy stress testing. Readers will learn how computational models can be used to examine inflation, output, employment, monetary policy, fiscal policy, financial instability, and broader economic interactions.Rather than treating macroeconomics as a purely theoretical discipline, this book emphasizes implementation. It shows how Python can be used to construct models, run simulations, analyze outcomes, and compare different policy scenarios. Topics are presented with a focus on clarity, reproducibility, and practical application.Inside, readers will explore: DSGE model structure and simulation logicAgent-based approaches to heterogeneous economic behaviorPolicy stress testing and scenario designCalibration, shocks, and sensitivity analysisNumerical tools for solving and simulating macroeconomic systemsPython workflows for economic modeling and interpretationThis book is suitable for readers who already have a basic understanding of economics, statistics, and Python, and who want to move into more advanced computational macroeconomic analysis. It is not a shortcut or a promise of forecasting certainty. Instead, it provides a structured foundation for building models, testing assumptions, and studying how complex economies respond to changing conditions. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
