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An Introduction to SFC Models Using Python - Brian Romanchuk

English
2017-11-13
€15.40 €19.25

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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 i ... Full description

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Description

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.

More Information

Author Brian Romanchuk
Publisher BondEconomics.com
Release year 2017
Cover type Softcover
EAN 9780994748096
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€15.40 €19.25