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An Introduction to SFC Models Using Python - Brian Romanchuk - Bog

Bag om An Introduction to SFC Models Using Python

Stock-Flow Consistent (SFC) models are a preferred way to present economic models in the post-Keynesian tradition. This book gives an overview of the sfc_models package, which implements SFC models in Python. The approach is novel, in that the user only specifies the high-level parameters of the economic model, and the framework generates and solves the implied equations. The framework is open source, and is aimed at both researchers and those with less experience with economic models. This book explains to researchers how to extend the sfc_models framework to implement advanced models. For those who are new to SFC models, the book explains some of the basic principles behind these models, and it is possible for the reader to run example code (which is packaged with the software online) to examine the model output.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780994748096
  • Indbinding:
  • Paperback
  • Sideantal:
  • 144
  • Udgivet:
  • 13. november 2017
  • Størrelse:
  • 153x10x226 mm.
  • Vægt:
  • 207 g.
  • BLACK NOVEMBER
Leveringstid: 2-3 uger
Forventet levering: 27. november 2024

Beskrivelse af An Introduction to SFC Models Using Python

Stock-Flow Consistent (SFC) models are a preferred way to present economic models in the post-Keynesian tradition. This book gives an overview of the sfc_models package, which implements SFC models in Python. The approach is novel, in that the user only specifies the high-level parameters of the economic model, and the framework generates and solves the implied equations. The framework is open source, and is aimed at both researchers and those with less experience with economic models. This book explains to researchers how to extend the sfc_models framework to implement advanced models. For those who are new to SFC models, the book explains some of the basic principles behind these models, and it is possible for the reader to run example code (which is packaged with the software online) to examine the model output.

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