whatisgithub

What is leeds_lectures_2026?

marcoverpas/leeds_lectures_2026 — explained in plain English

Analysis updated 2026-05-18

4HTMLAudience · researcherComplexity · 2/5LicenseSetup · easy

In one sentence

Teaching material with nine small R based macroeconomic models comparing aggregate, input output and agent based versions of classic stock flow consistent models.

Mindmap

mindmap
  root((sfc lectures))
    What it does
      Nine macro models
      Aggregate IO and ABM
      Teaching material
    Tech stack
      R
      HTML
    Use cases
      Study SFC models
      Compare model styles
      Regenerate diagrams
    Audience
      Economics researchers
      Graduate students

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Study nine worked stock flow consistent macroeconomic models in plain R without installing extra packages.

USE CASE 2

Compare how the same toy economy looks as an aggregate model, an input output model, and an agent based model.

USE CASE 3

Regenerate the animated and network diagrams used in the lecture material with the listed optional R packages.

What is it built with?

RHTML

How does it compare?

marcoverpas/leeds_lectures_2026asabeneh/speaksuomibmschmidt/bookwormblog
Stars444
LanguageHTMLHTMLHTML
Last pushed2026-05-292015-05-22
MaintenanceMaintainedDormant
Setup difficultyeasyeasymoderate
Complexity2/51/53/5
Audienceresearchergeneralresearcher

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 30min

Core models need only base R, diagram scripts need a few extra plotting packages listed in the README.

So what is it?

This repository contains teaching material for a two day training seminar on economic modeling held at the University of Leeds in July 2026. It presents nine small macroeconomic models arranged in a three by three grid. Three classic stock flow consistent models, called SIM, PC and BMW, each come from earlier academic work, and each one is written in three different coding styles: an aggregate version, an input output version, and an agent based version. Reading across a row shows the same underlying economy represented at different levels of detail, from one economy wide aggregate, to a set of connected industries, to a population of individual interacting households. Reading down a column shows the financial side of the economy getting richer, moving from a model with just government money, to one that adds government bonds, to one that adds bank loans and deposits financing physical capital investment. Stock flow consistent models track every sector's balance sheet and every transaction between sectors so that nothing is created or destroyed by accident: every payment is recorded as someone's income and every financial asset is recorded as someone else's liability. The material explains this accounting logic before walking through each of the nine models in turn, and it also includes a companion book style version of the same content as a single readable HTML page. All nine core models run in plain R with no extra packages needed. A handful of optional packages are needed only if you want to regenerate the animated charts, network diagrams and Sankey diagrams shown in the material itself, and the README lists exactly which packages go with which script. The material links to several related lecture series by the same author covering similar stock flow consistent modeling topics for other audiences and events. The content is shared under a Creative Commons non commercial license, with credit required for reuse.

Copy-paste prompts

Prompt 1
Walk me through what the BASIC_SIM.R model represents and how money flows between its sectors.
Prompt 2
Explain the difference between the aggregate, input output and agent based versions of the PC model in this repo.
Prompt 3
Help me install the R packages needed to regenerate the Sankey diagrams from these lectures.
Prompt 4
Summarize the accounting principles behind stock flow consistent models described in this material.

Frequently asked questions

What is leeds_lectures_2026?

Teaching material with nine small R based macroeconomic models comparing aggregate, input output and agent based versions of classic stock flow consistent models.

What language is leeds_lectures_2026 written in?

Mainly HTML. The stack also includes R, HTML.

How hard is leeds_lectures_2026 to set up?

Setup difficulty is rated easy, with roughly 30min to a first successful run.

Who is leeds_lectures_2026 for?

Mainly researcher.

Open on GitHub → Ask about another repo

This repo across BitVibe Labs

Verify against the repo before relying on details.