An Introduction to Computational Macroeconomics

A practical introduction to computational macroeconomics

An Introduction to Computational Macroeconomics brings macroeconomic theory into a computational setting, showing how dynamic models can be studied numerically rather than only in abstract mathematical form. The book is built around a clear teaching idea: if a model cannot be solved neatly on paper, readers can still work with it using accessible tools and structured numerical methods.

That approach gives the book a distinctly hands-on feel. Instead of treating computational macroeconomics as a specialist niche, the authors present it as a usable way to understand the behavior of dynamic systems, rational expectations models, and macroeconomic adjustment processes. Spreadsheet-based work is central to the method, making the material especially approachable for readers who want to explore the mechanics of modern macroeconomic analysis without jumping immediately into advanced programming.

What the book covers

• basic dynamic systems and difference equations
• the dynamic IS-LM model
• exchange-rate overshooting
• household consumption-saving and consumption-leisure decisions
• government, taxation, and fiscal policy
• Tobin’s Q and investment decisions
• dynamic general equilibrium models
• exogenous growth and Ramsey growth theory

The structure moves logically from simpler dynamic exercises to more sophisticated macroeconomic frameworks. That progression makes the book useful both as a guided introduction and as a bridge toward more advanced study of DGE and DSGE models.

Software-oriented appendices

The later appendices extend the main text with mathematical concepts and worked implementations in MATLAB and DYNARE. Those sections give the book extra value for readers who want to see how the models translate into actual computational workflows, not just theoretical discussion.

Who it is for

This is a strong fit for undergraduate and early-stage graduate readers in economics who want a more applied entry point into dynamic macroeconomic modeling. It will also be useful to instructors looking for a structured resource that connects macro theory, numerical methods, and spreadsheet-based experimentation.

For readers interested in how modern macroeconomics is actually computed, this is a focused and practical title with a clear teaching purpose.