Fr. 39.50

Rethinking Macroeconomics with Endogenous Market Structure

English · Paperback / Softback

Shipping usually within 3 to 5 weeks

Description

Read more

List of contents

Introduction; Part I. Theory: 1. Industrial structure and the macroeconomy: a few premises for a macromodel; 2. Industrial structure and the macroeconomy: the macroeconomic model and its algebraic framework; Part II. Model: 3. A computable market model: the structure of the agent-based simulation; 4. The results of the simulation agent-based model; 5. The model facing empirical data; Conclusions; Appendices: Appendix A. The structure of an atomistic simplified Hayekian market; Appendix B. The acrostics of the simulation model and its parameters; References; Biographical notes.

Summary

An innovative new agent-based macroeconomic framework demonstrating the macroeconomic implications of industrial structure and strategic interactions amongst oligopolistic firms within an economy. It will appeal to academic researchers and graduate students working in computational economics, agent-based modelling and econophysics.

Foreword

An innovative new agent-based macroeconomic framework demonstrating the macroeconomic implications of industrial structure and strategic interactions amongst oligopolistic firms within an economy.

Product details

Authors Mazzoli Marco, Morini Matteo, Terna Pietro
Publisher Cambridge Academic
 
Languages English
Product format Paperback / Softback
Released 26.06.2025
 
EAN 9781108710770
ISBN 978-1-108-71077-0
Illustrations Worked examples or Exercises
Subjects Social sciences, law, business > Business > Miscellaneous

BUSINESS & ECONOMICS / Economics / Macroeconomics, macroeconomics, Monetary Economics

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.