This model illustrates the current practice and consequences of government spending. Following the
direction of the arrows from right to left the model shows the following sequence
based on current practice:
Government
Spending at a certain point leads to spending in excess of tax receipts. This
will automatically lead to the issue of treasuries in the belief that the excess
spending must be financed by borrowing (although the government has the capacity
to create money). This in turn will
increase the national debt.
Consequences that follow from this practice:
1) That national
debt increases whenever the government spends in excess of tax receipts.
2) That the
government must pay interest on the debt issued, which in turn increases and
reinforces the need for government spending.
3) That the
interest paid on treasuries will increase private sector income.
There is an
alternative view, supported by Modern Monetary Theory, of how government spending
can proceed. Please see this Insight:
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.
Este modelo es una copia de "Goodwin Business Cycle". Quité al menos una variable y aproximé la relación discreta entre el nivel de empleo y el crecimiento anual del salario con una función basada en la tangente hiperbólica.
This page provides a structural analysis of POTUS Candidate Jim Gilmore's
economic policy based on the information at: http://www.gilmoreforamerica.com/jims-growth-code/ 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
This version 8B of the CAPABILITY DEMONSTRATION model. A net Benefit ROI has been added. The Compare results feature allows comparison of alternative intervention portfolios. Note that the net causal interactions have been effectively captured in a very scoped and/or simplified format. Relative magnitudes and durations of impact remain in need of further data & adjustment (calibration). In the interests of maintaining steady progress and respecting budget & time constraints, significant simplifying assumptions have been made: assumptions that mitigate both completeness & accuracy of the outputs. This model meets the criteria for a Capability demonstration model, but should not be taken as complete or realistic in terms of specific magnitudes of effect or sufficient build out of causal dynamics. Rather, the model demonstrates the interplay of a minimum set of causal forces on a net student progress construct -- as informed and extrapolated from the non-causal research literature. Provided further interest and funding, this basic capability model may further developed and built out to: higher provenance levels -- coupled with increased factorization, rigorous causal inclusion and improved parameterization.
Version 8B with story: Calibrated Student-Home-Teachers-Classroom-LEA-Spending
During the Biden administration (2021–2024), the U.S. immigration system was under a lot of pressure. There was a record-high asylum backlog, not enough detention space, and policy changes that made more people eligible to apply, all while the system struggled to keep up. This model reflects those challenges. It shows how more and more asylum seekers were entering an already overwhelmed system, while slow processing times and uneven funding made it hard to move cases forward. As a result, detention numbers kept rising, but deportations stayed relatively low. Instead of resolving cases efficiently, the system settled into a kind of uneasy balance, leaving many people stuck in limbo, neither fully processed nor removed.
Clusters of interacting methods for improving health services network design and delivery. Includes Forrester quotes on statistical vs SD methods and the Modeller's dilemma. Simplified version of IM-14982 combined with IM-17598 and IM-9773
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)
