Economics | Insight Maker

The housing market is heavily dependent on two main factors; supply and demand. Both play a major role in determining an equilibrium price for both sellers and buyers in the real estate market.

Residents, or the general population of individuals, place significant reliance on financial institutions to provide sources of capital i.e mortgages, to fund their purchases of homes. The rate of interest charged by these organisations in turn gives buyers (consumers) purchasing power, creating demand.

Supply is made up of the number of houses in the market, and consequently, of these, the number of houses which are up for sale. As the prices of houses for sale increases, the demand for purchase of these properties decreases. Conversely, the lower price, the higher the demand. Once the market reaches an equilibrium point, to which buyers and sellers form an agreement, houses are sold accordingly. An underlying factor to consider is the cost of construction, which impacts producers, or suppliers in this instance, and thus the number of homes for sale, and the expected profit sellers hope to achieve.

The simulated graph highlights the common scenario within the housing market, to which we see that as price increases, the total number for houses for sale decreases, generating an opposite slope to the price. As the price for houses increases, the demand for the houses decreases and vice versa. The equilibrium is evident at time 14 whereby the price of houses and the number of houses for sale overlaps which in turn creates a market to which both buyers and sellers are happy.

Clone of The effect of Supply and Demand on the Housing Market Assignment 3 (43323871)

James Butler

An initial study of the economics of single use coffee pods.

Clone of Coffee Pods ISD Humanities v 1.02

William Percy

An initial study of the economics of single use coffee pods.

Fabienne Clone of Coffee Pods ISD Humanities v 1.02

Fabienne Albrecht

An initial study of the economics of single use coffee pods.

Clone of Coffee Pods ISD Humanities v 1.02

Tenay Malachi

An initial study of the economics of single use coffee pods.

Matilde's Coffee Pods ISD Humanities v 1.02

Matilde G.

An initial study of the economics of single use coffee pods.

Clone of Coffee Pods ISD Humanities v 1.02

Adriaan van der Bergh

An initial study of the economics of single use coffee pods.

Clone of Coffee Pods ISD Humanities v 1.02

Hannah Saddey

An initial study of the economics of single use coffee pods.

Clone of Coffee Pods ISD Humanities v 1.02

Yuzuki Aizawa

An initial study of the economics of single use coffee pods.

Clone of Coffee Pods ISD Humanities v 1.02

Malena Dolff Gonzalez

Adam Smith's The Invisible Hand: The Feedback Structure of Markets. From Sterman JD Business Dynamics p170 Fig 5-26. A price-mediated resource allocation system..

Clone of Price control mechanism

hamdan

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.

Clone of Hyperinflation Simulation

Alen Joshy

An initial study of the economics of single use coffee pods.

Clone of Coffee Pods ISD Humanities v 1.02

Philipp Anskinewitsch

An initial study of the economics of single use coffee pods.

Clone of Coffee Pods ISD Humanities v 1.02

Yuzuki Aizawa

The simulation integrates or sums (INTEG) the Nj population, with a change of Delta N in each generation, starting with an initial value of 5.

The equation for DeltaN is a version of

Nj+1 = Nj + mu (1- Nj / Nmax ) Nj

the maximum population is set to be one million, and the growth rate constant mu = 3.

Nj: is the “number of items” in our current generation.

Delta Nj: is the “change in number of items” as we go from the present generation into the next generation. This is just the number of items born minus the number of items who have died.

mu: is the growth or birth rate parameter, similar to that in the exponential growth and decay model. However, as we extend our model it will no longer be the actual growth rate, but rather just a constant that tends to control the actual growth rate without being directly proportional to it.

F(Nj) = mu(1‐Nj/Nmax): is our model for the effective “growth rate”, a rate that decreases as the number of items approaches the maximum allowed by external factors such as food supply, disease or predation. (You can think of mu as the growth or birth rate in the absence of population pressure from other items.) We write this rate as F(Nj), which is a mathematical way of saying F is affected by the number of items, i.e., “F is a function of Nj”. It combines both growth and all the various environmental constraints on growth into a single function. This is a good approach to modeling; start with something that works (exponential growth) and then modify it incrementally, while still incorporating the working model.

Nj+1 = Nj + Delta Nj : This is a mathematical way to say, “The new number of items equals the old number of items plus the change in number of items”.

Nj/Nmax: is what fraction a population has reached of the maximum "carrying capacity" allowed by the external environment. We use this fraction to change the overall growth rate of the population. In the real world, as well as in our model, it is possible for a population to be greater than the maximum population (which is usually an average of many years), at least for a short period of time. This means that we can expect fluctuations in which Nj/Nmax is greater than 1.

This equation is a form of what is known as the logistic map or equation. It is a map because it "maps'' the population in one year into the population of the next year. It is "logistic'' in the military sense of supplying a population with its needs. It a nonlinear equation because it contains a term proportional to Nj^2 and not just Nj. The logistic map equation is also an example of discrete mathematics. It is discrete because the time variable j assumes just integer values, and consequently the variables Nj+1 and Nj do not change continuously into each other, as would a function N(t). In addition to the variables Nj and j, the equation also contains the two parameters mu, the growth rate, and Nmax, the maximum population. You can think of these as "constants'' whose values are determined from external sources and remain fixed as one year of items gets mapped into the next year. However, as part of viewing the computer as a laboratory in which to experiment, and as part of the scientific process, you should vary the parameters in order to explore how the model reacts to changes in them.

Clone of POPULATION LOGISTIC MAP (WITH FEEDBACK)

Ana Cristina Beja

From Schluter et al 2017 article A framework for mapping and comparing behavioural theories in models of social-ecological systems See also Balke and Gilbert 2014 JASSS article How do agents make decisions? (recommended by Kurt Kreuger U of S)

Clone of Modelling human behaviour (MoHuB)

Peter van Doesburg

An initial study of the economics of single use coffee pods.

Clone of Coffee Pods ISD Humanities v 1.02

Giovanni

An initial study of the economics of single use coffee pods.

Clone of Coffee Pods ISD Humanities v 1.02

Olivia Wessel

An initial study of the economics of single use coffee pods.

Clone of Coffee Pods ISD Humanities v 1.02

niki jahanian

An initial study of the economics of single use coffee pods.

Clone of Claire - Coffee Pods ISD Humanities v 1.02

Claire Smith

An initial study of the economics of single use coffee pods.

Clone of Coffee Pods ISD Humanities v 1.02

Javier Navaridas

An initial study of the economics of single use coffee pods.

Clone of Coffee Pods ISD Humanities v 1.02

Nina Strecker

The World3 model is a detailed simulation of human population growth from 1900 into the future. It includes many environmental and demographic factors.

THIS MODEL BY GUY LAKEMAN, FROM METRICS OBTAINED USING A MORE COMPREHENSIVE VENSIM SOFTWARE MODEL, SHOWS CURRENT CONDITIONS CREATED BY THE LATEST WEATHER EXTREMES AND LOSS OF ARABLE LAND BY THE ALBEDO EFECT MELTING THE POLAR CAPS TOGETHER WITH NORTHERN JETSTREAM SHIFT NORTHWARDS, AND A NECESSITY TO ACT BEFORE THERE IS HUGE SUFFERING.

BY SETTING THE NEW ECOLOGICAL POLICIES TO 2015 WE CAN SEE THAT SOME POPULATIONS CAN BE SAVED BUT CITIES WILL SUFFER MOST.

CURRENT MARKET SATURATION PLATEAU OF SOLID PRODUCTS AND BEHAVIORAL SINK FACTORS ARE ALSO ADDED

Use the sliders to experiment with the initial amount of non-renewable resources to see how these affect the simulation. Does increasing the amount of non-renewable resources (which could occur through the development of better exploration technologies) improve our future? Also, experiment with the start date of a low birth-rate, environmentally focused policy.

Clone of Clone of 2014 Weather & Climate Extreme Loss of Arable Land and Ocean Fertility - The World3+ Model: Forecaster