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Goodwin cycle IM-2010 with debt and taxes added, modified from Steve Keen. THis can be extended by adding the Ponzi effect of borrowing for speculative investment.

Minsky Financial Instability Model

John Vorhauer

3

A Numeric Logic Model than can model the impact of Prevention and Costs.

It can also be used for any Public Health, Health or Social Care Area

MRAE NLM

Maggie M Rae

Ocean/atmosphere/biosphere model tuned for interactive economics-based simulations from Y2k on.

Wrong Q2 Final Project w/ socio-economic

Claire Murley

Final Paper

Theresia Bhekti Putranti

8 months ago

My Insight

Anuoluwapo Yakubu

7 months ago

Unfortunately, this model only produces the illusion of functioning, but I did manage to get it to give me the graph. However, because of the use of flows, if you change the time step to and the simulation length to anything other than the same numbers, you'll find the graph showing something that looks more exponential. This is due to the function referencing itself in regards to time, so inevitably each time consumption grows it changes the outcome on the other side of the equation. Still, this is a convincing mock up. I added a "45 degree" line so that one could conceivably see (and also change) the difference made by altering the level of autonomous consumption.

Clone of Keynesian Macroeconomics

Runy Calmera

My InsightPublic Opinion Toward Immigration Reform: The Role of Economic Motivations

Luca Makarushka-Napp

Goodwin cycle IM-2010 with debt and taxes added, modified from Steve Keen's illustration of Hyman Minsky's Financial Instability Hypothesis "stability begets instability". This can be extended by adding the Ponzi effect of borrowing for speculative investment.

Minsky Financial Instability Model

Geoff McDonnell

28

System Zoo Z409 Fishery dynamics from Hartmut Bossel (2007) System Zoo 2 Simulation Models. Climate, Ecosystems, Resources

Fishing is a classic example for use of a renewable resource. Unless overfished, fish populations If is hardly by fishing, then the fish population will persist at a constant size corresponding to its specific ecological envi ronment If the stock is overfished, the juvenile generation becomes too small to fully replace the adult generation. If overfishing continues. the population cannot recover and will collapse in short time. Even if fish catch stops now/, it could take decades until the fish population recovers to its original size if it hasn't become extinct meanwhile. In many of the world overtlshing has led, and still leads, to the complete collapse of formerly huge tlsh populations: herring in the North Sea, codtlsh in the Northern Atlantic. tuna, whales to name only a few. With the collapse of fish stocks came the collapse of the t1shing industry in many regions. Employment and

incomes disappeared: whole regions (like Newfoundland) lost their economic base.

REM 221 - Z409 Fishery dynamics

Steve Conrad

29

Ocean/atmosphere/biosphere model tuned for interactive economics-based simulations from Y2k on.

GEO4315 Final Project Evgeny Bogopolskiy

Jenya Bogopolskiy

Extended from Im-628 Supply and demand by adding control folder.

See also Managing Health Services Use IM-17566

Based on JHPPL 2015 article Note here the framing is an economic exchange rather than a public service (needs-services-resources) or capabilities

Neoliberalism and health policy

Geoff McDonnell

LS Greenway

Olga

This is the summary of lecture 1 of my Course about StartUps. It's an intro to the startup ecosystem and the different stakeholders that can interact with your new enterprise at different stages of its evolution and growth. -version 1 - for info or suggestions: bonato.pietroz@gmail.com

StartUp ecosystem

PietrOZ

Economic Human Development Sub Model

Ben Rivera

Bourke is a remote town in NSW with a population of 2634 people. In 2013 crime figures from Bourke showed the highest assault, break-ins and car theft rates in NSW with crime spikes mostly occurring during nights and school holidays. Over the past five years, the Aboriginal Community has come together to trial a model for change, called Just Reinvest.

This model illustrates the relationship between Community Factors (which includes social disadvantage, economic issues, family trauma) on Disengaged Youth, Crime and the impact of the Just Reinvest Program. This model particularly illustrates the complexity of factors on outcomes and how factors are interrelated making crime a wicked problem that is not easily viewed in isolation from the socio-economic and social causes.

Stocks

Youth in Burke is set based on Australian Bureau of Statistics levels but is easily modified to track population changes on modelling

Disengaged Youth are those with problematic behaviour

Crime Levels are those Disengaged Youth who go on to commit a crime

Early Intervention Programs are those run through Just Reinvest as part of the community program - the quantity of these can be adjusted.

Data of Note

- Economic Impact is five times cost of running the program

- Justice Impacts are roughly 66% and Non-Justice Impacts make up the remaining 33%.

Assumptions
While the UN defines "Youth" as 15 - 24 year olds, the KPMG report outlines programs for 10 - 24 year olds therefore in the context of Bourke the 10 - 24 year old age bracket is considered "Youths". This has been rounded to 700 people (ABS 2016 Census).

- It is estmated 70% of Bourke Youths will have problematic behaviour with 50% of those going on to commit a crime and be caught

- Cost of Early Intervention Youth Program is estimated at $100 per person per crime

Conclusion

While this model shows the impacts and benefits of additional funding on early intervention programs and the flow on affects this has on crime, it does not take into account the underlying cultural and social disadvantage issues that are often motivators for crime nor does this model take into account issues such as cultural prejudice and bias, over-policing or additional early intervention methods.

Relationship between Youth Alienation, Police and Community Development in Bourke

Lauren Phillips

integratrated solar energy economics for northeast brazil depend consultant engs

Solar Energy - Efficiency economic s

Pagandai V Pannir Selvam

Fig 17.15 p700 Causal structure of commercial real estate markets of Case Study from John Sterman's 2000 Business Dynamics Book

Boom and bust in Commercial Real Estate

Geoff McDonnell

3

Overview

The model simulates how logging in with tourism(mountain biking) in Derby Tasmania.

How the model works.

Trees grow, loggers cut them in order to sell them because of demand for Timber.

Mountain cyclist depends on satisfaction and expectation. Satisfaction and Expectation depends on Scenery number of trees compared to visitor and Adventure number of trees and users. Park capacity limits the number of users. Local Business is influenced by the timber and number of Mountain Cyclist. Employment is influenced by the number of mountain cyclist and logging activity.

Simulation of Mountain Cyclist vs logging

Shu Wang

Case 1

April Rose Alpha

Simulating Hyperinflation for 3650 days.

If private bond holdings are going down and the government is running a big deficit then the central bank has to monetize bonds equal to the deficit plus the decrease in private bond holdings. We don't show the details of the central bank buying bonds here, just the net results.

See blog at http://howfiatdies.blogspot.com for more on hyperinflation, including a hyperinflation FAQ.

Hyperinflation Simulation

Vincent Cate

14

The problem being examined is the issue of access to quality education being provided to all students irrespective of economic, geographical, social, racial, gender or religious issues. We are looking at the many factors impacting on access to quality education.

Excellent Schools Causal Loop2

Nicola Eccleston

This page provides a structural analysis of POTUS Candidate Ben Carson's economic policy based on the information at:

https://www.bencarson.com/issues/tax-reform/

https://www.bencarson.com/issues/balanced-budget-amendment/ The method used is Integrative Propositional Analysis (IPA) available: http://scipolicy.org/uploads/3/4/6/9/3469675/wallis_white_paper_-_the_ipa_answer_2014.12.11.pdf

DRAFT IPA of Ben Carson economic policy

Steve Wallis

COVID-19 Outbreak in Burnie Tasmania Simulation Model

Introduction:

This model simulates the COVID-19 outbreak situation in Burnie and how the government responses impact local economy. The COVID-19 pandemic spread is influenced by several factors including infection rate, recovery rate, death rate and government's intervention policies.Government's policies reduce the infection spread and also impact economic activities in Burnie, especially its tourism and local businesses.

Assumptions:

- This model was built based on different rates, including infection rate, recovery rate, death rate, testing rate and economic growth rate. There can be difference between

this model and reality.

- This model considers tourism and local business are the main industries influencing local economy in Burnie.

- Government's intervention policies will positive influence on local COVID-19 spread but also negative impact on local economic activity.

- When there are more than 10 COVID-19 cases confirmed, the government policies will be triggered, which will brings effects both restricting the virus spread and reducing local economic growth.

- Greater COVID-19 cases will negatively influence local economic activities.

Interesting Insights:

Government's vaccination policy will make a important difference on restricting the infection spread. When vaccination rate increase, the number of deaths, infected people and susceptible people all decrease. This may show the importance of the role of government's vaccination policy.

When confirmed cases is more than 10, government's intervention policies are effective on reducing the infections, meanwhile local economic activities will be reduced.

BMA708-Tian Liang-586868-Model of COVID-19 Outbreak in Burnie, Tasmania

Tian Liang