prepare

Make initial matrix row for baseline scenario and prepare equations for <code>simulate_scenario()</code>

Define, simulate, and validate stock-flow consistent (SFC) macroeconomic models. The godley R package offers tools to dynamically define model structures by adding variables and specifying governing systems of equations. With it, users can analyze how different macroeconomic structures affect key variables, perform parameter sensitivity analyses, introduce policy shocks, and visualize resulting economic scenarios. The accounting structure of SFC models follows the approach outlined in the seminal study by Godley and Lavoie (2007, ISBN:978-1-137-08599-3), ensuring a comprehensive integration of all economic flows and stocks. The algorithms implemented to solve the models are based on methodologies from Kinsella and O'Shea (2010) <doi:10.2139/ssrn.1729205>, Peressini and Sullivan (1988, ISBN:0-387-96614-5), and contributions by Joao Macalos.

Elżbieta Jowik

godley

Stock-Flow-Consistent Model Simulator

prepare function

<dl><dt>model</dt>
<dd>SFC model object</dd>
<dt>verbose</dt>
<dd>logical to tell if additional model verbose should be displayed</dd></dl>

Arguments

Make initial matrix row for baseline scenario and prepare equations for simulate_scenario() — prepare

<dl>

<dt>model</dt>
<dd>SFC model object</dd>


<dt>verbose</dt>
<dd>logical to tell if additional model verbose should be displayed</dd>

</dl>

prepare: Make initial matrix row for baseline scenario and prepare equations for `simulate_scenario()`

Description

Usage

Value

Arguments