Muutke küpsiste eelistusi

Evolutionary Selection and KeynesSchumpeter Macroeconomics [Pehme köide]

(Maastricht University), (The United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (UNU-MERIT)), (Birmingham City University)
  • Formaat: Paperback / softback, 96 pages, kaal: 152 g, Worked examples or Exercises
  • Sari: Elements in Evolutionary Economics
  • Ilmumisaeg: 16-Oct-2025
  • Kirjastus: Cambridge University Press
  • ISBN-10: 1009619527
  • ISBN-13: 9781009619523
  • Formaat: Paperback / softback, 96 pages, kaal: 152 g, Worked examples or Exercises
  • Sari: Elements in Evolutionary Economics
  • Ilmumisaeg: 16-Oct-2025
  • Kirjastus: Cambridge University Press
  • ISBN-10: 1009619527
  • ISBN-13: 9781009619523
This Element develops a stock-flow consistent agent-based macroeconomic model with Schumpeterian and Keynesian characteristics. On the Schumpeterian side, technological change is modelled as productivity growth as a result of research and development (R&D). The R&D strategies of firms are determined by an evolutionary selection process. On the Keynesian side, demand is endogenous on current income and the stock of households' financial wealth. In the long run, an evolutionary stable R&D strategy of firms emerges, leading to endogenous productivity growth. Demand adjusts endogenously to match labour-saving productivity growth, so that the employment rate is stationary, although with business cycle fluctuations. The authors use Monte Carlo simulations to analyze the emergence of an evolutionary stable R&D strategy, as well as the long-run properties of the model and the nature of business cycles. This title is also available as Open Access on Cambridge Core.

Muu info

This Element is a proposal for a new KeynesSchumpeter approach to macroeconomics with co-evolving demand and supply.
1. Introduction;
2. Background and literature review;
3. Keynesian
economics: the model for a stationary economy;
4. Introducing R&D-based
productivity growth;
5. Exploring the full model: Monte Carlo simulations;
6.
Conclusions and outlook;
7. List of variables, parameters and parameter
settings; References.