| An Introduction to SFC Models Using Python Contributor(s): Romanchuk, Brian (Author) |
|
 |
ISBN: 0994748094 ISBN-13: 9780994748096 Publisher: Bondeconomics OUR PRICE: $11.35 Product Type: Paperback Published: November 2017 |
| Additional Information |
| BISAC Categories: - Business & Economics | Economics - Macroeconomics |
| Physical Information: 0.31" H x 6" W x 9" (0.44 lbs) 144 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |