menu
{ "item_title" : "Computational Macroeconomics with Python", "item_author" : [" Alice Schwartz", "Hayden Van Der Post "], "item_description" : "Reactive PublishingModern macroeconomics is no longer confined to blackboard equations or static comparative analysis. It is computational, model-driven, and increasingly implemented in code. Computational Macroeconomics with Python provides a rigorous, implementation-focused guide to building structural macroeconomic models and translating theory into executable systems.This book bridges formal macroeconomic theory and applied computational practice. It walks through the architecture of dynamic macro models and shows how to implement, simulate, and analyze them using Python. Emphasis is placed on structural clarity, reproducibility, and policy relevance.Inside, readers will learn how to: Construct and solve dynamic stochastic general equilibrium (DSGE) modelsImplement representative agent and heterogeneous agent frameworksCalibrate and estimate structural parametersSimulate monetary and fiscal policy interventionsDesign policy counterfactuals and welfare comparisonsBuild real-time simulation environments for economic systemsIntegrate numerical methods including value function iteration, perturbation techniques, and Monte Carlo simulationRather than focusing on abstract exposition alone, the book demonstrates how macroeconomic systems are translated into numerical form and evaluated under alternative policy regimes. Each model is presented with conceptual grounding, mathematical structure, and complete Python implementations.This text is designed for graduate students in economics, quantitative researchers, policy analysts, and finance professionals who require structural macroeconomic modeling in practice. Familiarity with intermediate macroeconomics and basic Python is assumed.Computational Macroeconomics with Python is a technical guide for economists who want to move beyond theory and construct operational macroeconomic systems capable of simulation, stress testing, and policy evaluation.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/824/854/9798248542710_b.jpg", "price_data" : { "retail_price" : "37.99", "online_price" : "37.99", "our_price" : "37.99", "club_price" : "37.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Computational Macroeconomics with Python|Alice Schwartz

Computational Macroeconomics with Python : Structural Models, Policy Simulation, and Real-Time Economic Systems

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Reactive Publishing

Modern macroeconomics is no longer confined to blackboard equations or static comparative analysis. It is computational, model-driven, and increasingly implemented in code. Computational Macroeconomics with Python provides a rigorous, implementation-focused guide to building structural macroeconomic models and translating theory into executable systems.

This book bridges formal macroeconomic theory and applied computational practice. It walks through the architecture of dynamic macro models and shows how to implement, simulate, and analyze them using Python. Emphasis is placed on structural clarity, reproducibility, and policy relevance.

Inside, readers will learn how to:

  • Construct and solve dynamic stochastic general equilibrium (DSGE) models

  • Implement representative agent and heterogeneous agent frameworks

  • Calibrate and estimate structural parameters

  • Simulate monetary and fiscal policy interventions

  • Design policy counterfactuals and welfare comparisons

  • Build real-time simulation environments for economic systems

  • Integrate numerical methods including value function iteration, perturbation techniques, and Monte Carlo simulation

Rather than focusing on abstract exposition alone, the book demonstrates how macroeconomic systems are translated into numerical form and evaluated under alternative policy regimes. Each model is presented with conceptual grounding, mathematical structure, and complete Python implementations.

This text is designed for graduate students in economics, quantitative researchers, policy analysts, and finance professionals who require structural macroeconomic modeling in practice. Familiarity with intermediate macroeconomics and basic Python is assumed.

Computational Macroeconomics with Python is a technical guide for economists who want to move beyond theory and construct operational macroeconomic systems capable of simulation, stress testing, and policy evaluation.

This item is Non-Returnable

Details

  • ISBN-13: 9798248542710
  • ISBN-10: 9798248542710
  • Publisher: Independently Published
  • Publish Date: February 2026
  • Dimensions: 9 x 6 x 0.83 inches
  • Shipping Weight: 1.19 pounds
  • Page Count: 406

Related Categories

You May Also Like...

    1

BAM Customer Reviews