SKU/Artículo: AMZ-B0G34P7ZBS
Python for Applied Macroeconomics: Forecasting, Policy Modeling, and Real-Time Data Analysis: A Practical Framework for Economic Forecasting, ... Series, Quantitative Economics with Python)
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
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0.87 kg
0.87 kg
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Sí
Sí
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Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- Reactive PublishingPython for Applied Macroeconomics is a definitive, practitioner-level playbook for economists, analysts, and policy professionals who need real models, real forecasts, and real data pipelines, not academic abstractions.Designed for an era defined by volatility, fractured supply chains, inflation shocks, geopolitical realignment, and central banks navigating unprecedented constraints, this book shows you how to build the analytical engines that modern macroeconomics now requires. Every chapter moves beyond theory into executable, production-grade Python workflows that translate macro intuition into measurable output.This book teaches you how to model an economy the way elite institutions do: through structural relationships, dynamic simulations, and real-time data integration. You will build forecasting systems, interpret macro signals through code, and create policy-sensitive scenario frameworks capable of stress-testing economies under uncertainty. From VARs and regime-switching models to fiscal-monetary interaction engines, the focus is always on actionable macro insight, not textbook math.Whether you are analyzing inflation pathways, interest-rate trajectories, labor-market pressures, or global liquidity flows, you will learn how to engineer models that respond, adjust, recalibrate, and predict at the speed macro decision-making now requires.This is macroeconomics for the world we live in, dynamic, data-driven, and built on code.
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AR$145.348
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AR$74.540
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