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From a March 2016 blog entry by Ari Andricopoulos

The economy simply explained

This high-level simulation model presented by Jay Forrester in his book World Dynamics, simulates socio-economic-environmental world system. The world Model was created in a time where pollution and other negative effects of industrialization and economic growth started to become recognized in 1970. For this exam purpose, we have rebuilt the model to do some experiments and analyze the results.

World Model1

Ali Akhlaqi

5

Deforestation and Economic Development in an Underdeveloped County

Chanaphorn Silaphorn

Economic model

Alec Phipps

This page provides a structural analysis of POTUS Candidate Rick Perry's economic policy based on the information at: https://rickperry.org/issues/ 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 Rick Perry economic policy

Steve Wallis

Economic Systems

Alan Plunkett

Economic model

Tiziana Lembo

Simulation of MTBF with controls

F(t) = 1 - e ^ -λt

Where

• F(t) is the probability of failure

• λ is the failure rate in 1/time unit (1/h, for example)

• t is the observed service life (h, for example)

The inverse curve is the trust time
On the right the increase in failures brings its inverse which is loss of trust and move into suspicion and lack of confidence.
This can be seen in strategic social applications with those who put economy before providing the priorities of the basic living infrastructures for all.

This applies to policies and strategic decisions as well as physical equipment.
A) Equipment wears out through friction and preventive maintenance can increase the useful lifetime,
B) Policies/working practices/guidelines have to be updated to reflect changes in the external environment and eventually be replaced when for instance a population rises too large (constitutional changes are required to keep pace with evolution, e.g. the concepts of the ancient Greeks, 3000 years ago, who based their thoughts on a small population cannot be applied in 2013 except where populations can be contained into productive working communities with balanced profit and loss centers to ensure sustainability)

Early Life

If we follow the slope from the leftmost start to where it begins to flatten out this can be considered the first period. The first period is characterized by a decreasing failure rate. It is what occurs during the “early life” of a population of units. The weaker units fail leaving a population that is more rigorous.

Useful Life

The next period is the flat bottom portion of the graph. It is called the “useful life” period. Failures occur more in a random sequence during this time. It is difficult to predict which failure mode will occur, but the rate of failures is predictable. Notice the constant slope.

Wearout

The third period begins at the point where the slope begins to increase and extends to the rightmost end of the graph. This is what happens when units become old and begin to fail at an increasing rate. It is called the “wearout” period.

BATHTUB MEAN TIME BETWEEN FAILURE (MTBF) RISK

Guy Lakeman

8

Implementação do modelo Handy.

Referência:

Motesharrei, S.; Rivas, J.; Kalnay, E. "Human and nature dynamics (HANDY): Modelling inequality and use of resources in the collapse or sustainability of societies". Ecological Economics 101 (2014) 90-102

http://www.sciencedirect.com/science/article/pii/S0921800914000615

HANDY

Daniel Cunha

Ecological economics

Bertrand Nzomigni

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

This Scenario hits Affluence (1% decrease per annum) to increase decarbonization of energy. Additionally, decrease in affluence is increased by temperature increases damaging the global economy

Final Project 4 W/ Socio-Economic Factors - Investment+Temperature Degradation

Geoffrey Alan Chapman

241004_economic growth model structure_SFD

JF

Food Waste Part 2

Kiran Rashid

5

Cornerstore Economic Model

Michelle Molskow

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

Final

Akshat Bansal

I made this as an illustration of a piece of text I read in Regenerative Economics, household economics.

Unpaid Care

Henny van Dongen

MONEY_People, Experts. Knowledge IPN_Model2_Oscillations_0.1.7

Bruce.Beihoff

Mobility_JV2

Jan Voracek

This model indicate indicates the modeling COVID-19 outbreaks and responses from government policies with the effect on the local economy. Model was occurred at Burnie, Tasmania. The model mainly contains three parts: COVID-19 pandemic outbreak, four differences government policies and what the impact on economy from those policies.

Assumptions:

(1) Various variables influence the model, which can result in varied outcomes. The following values are based on an estimate and may differ from actual values. Government initiatives are focused at reducing Covid-19 infections and, as a result, affecting (both positive and negative) economic growth.

(2) 42% of infected people will recovery. 10% of people who are infected will die and the rate relatively higher due to the much old people living in Burnie, Tasmania.

78% of cases get tested.

(3) Government policy will only be implemented when there are ten or more recorded cases. Four government policies have had influences on infection.

(4) The rising number of instances will have a negative impact on Burnie's economic growth.

Insights:

1. As a result of the government's covid 19 rules, fewer people will be vulnerable. Less people going to be susceptible.

2. After the government policy intervention, there is a effectively reduce of infected people.

3. Overall, there is no big differences of economic performance from the graph, might due to the positive and negative effect of economy. And after two weeks, the economy maintained a level of development without much decline.

BMA708 Yanglin Hu

Yanglin Hu

This model shows the simulation of COVID-19 outbreaks when it hit Burnie, Tasmania. This model will show how government intervention will impact the total number in COVID 19 cases and the overall economic activity.

Assumptions

1. The current Burnie population in 19550. Therefore, the susceptible population is equal to the current Burnie population.

2. Since Burnie is just a regional city, the virus infection rate is 25% as 5000 people in Burnie went into quarantine during the outbreak last year.

3. 50% of people who are infected will recover.

4. 20% of people who are infected will die because Burnie population average is old.

5. Government intervention and policy will reduce the Infection

6. COVID-19 is only countable as a case if the infected people have been tested, and the percentage of testing depends on how many infected people have been tested.

7. Following a recovery, there is a chance that people could lose their immunity, and also the immunity loss rate measures this.

8. Government intervention will reduce the infection rate by 15%.

9. Lockdown will cause tourism industry to shut down and affect the overall economic activity.

10. Lockdown is one of the most effective way to prevent infection.

11. Strict health protocol also contributes to reduce the infection.

12. Vaccination will not make people fully immune to the virus. However, vaccinated people will reduce the immunity loss percentage.

13. Economic growth rate percentage is based on year 2020.

Findings

1. COVID-19 could be significantly reduced in number and the spread of the vaccine could make a significant impact on the epidemic.

2. Economic activity will drop during the first phase of government intervention, However, it will steadily increase overtime

3. Less people going to be susceptible as government imposed covid 19 rules.

BMA708 Michael Sunjaya Jurenang ID:547923

Michael Sunjaya Jurenang

My Insight - Housing and Social Cohesion

Natalia Albert

Overview of Part G Ch 27 to 30 of Mitchell Wray and Watts Textbook see IM-164967 for book overview

History of Macroeconomic Thought

Geoff McDonnell

6

Laying out and testing before coupling to main model (which is Final Project)

Socio-Economic Factors

Geoffrey Alan Chapman