SFC models in Python

Here is a letter from Kenn Tamara, who developed the models in Godley-Lavoie using Python:

I was reading “Monetary Economics” by Godley and Lavoie and came across the sfc-models.net website. I have taken your eViews models and reimplemented them using Python (running the experiments and generating the figures).

Everything is open-source and is written with a package that I developed to help specify and solve the models. The models are implemented as iPython notebooks for easier viewing and can be found at:
https://github.com/kennt/monetary-economics

Information on the pysolve package used to specify and solve the models can be found at:
https://github.com/kennt/pylinsolve

(A little warning, the code for pysolve is still under development and there isn’t that much documentation yet)

I hope that the python implementation is useful and would like to contribute it to sfc-models.net.

Thank you,
Kenn Takara

From Gabor Kurthy

Received from Gabor Kurthy (Corvinus University, Budapest)

“I’d like to contribute to the sfc-models.net page by sending the solution of model REG (pp.: 170-186).

In the PDF file you will find the solution of the model. If you are interested, I can send you a more detailed paper that contains the steps of the solution and some analysis as well (I haven’t translated that paper yet).

In the Excel file you will find the model: I wrote three macros to
(1) compute different steady states by changing the parameter set (policy variables included)
(2) see the evolution from state zero to the steady state (parameters and policy variables can be changed)
(3) see the effects of different shocks after changing the parameters or the policy variables.

I hope that you will find it useful.”