scholarly journals RF16 An agent-based model of social care supply and demand in the UK

Author(s):  
ES Silverman ◽  
U Gostoli
Author(s):  
Juan Luis Santos ◽  
Jagoda Anna Kaszowska ◽  
Tomás Mancha Navarro

The aim of the agent-based model presented in this chapter is to explain the determinants of inflation and to forecast the inflation rate in the Eurozone for the next five years. The behaviors of agents and their expectations are interrelated and explained by macroeconomic models applied to heterogeneous agents of three classes: individuals, companies and financial institutions. In addition, the behavior of public sector and central bank is also modeled with a single agent of each kind. Once the quantitative easing policy is implemented, the quantitative theory of money expects higher inflation rates in the long run. Inflation should remain low taking into account the Phillips-Curve. Last, according to the Aggregated Supply and Demand as well as to the Money Market equilibrium, the behaviors modeled allow forecasting low inflation. However, an external shock, as it would be an increase in the price of important commodities, can alter the inflation rate to a great extent.


2019 ◽  
Vol 6 (7) ◽  
pp. 190029
Author(s):  
Umberto Gostoli ◽  
Eric Silverman

Current demographic trends in the UK include a fast-growing elderly population and dropping birth rates, and demand for social care among the aged is rising. The UK depends on informal social care—family members or friends providing care—for some 50% of care provision. However, lower birth rates and a greying population mean that care availability is becoming a significant problem, causing concern among policy-makers that substantial public investment in formal care will be required in decades to come. In this paper, we present an agent-based simulation of care provision in the UK, in which individual agents can decide to provide informal care, or pay for private care, for their loved ones. Agents base these decisions on factors including their own health, employment status, financial resources, relationship to the individual in need and geographical location. Results demonstrate that the model can produce similar patterns of care need and availability as are observed in the real world, despite the model containing minimal empirical data. We propose that our model better captures the complexities of social care provision than other methods, due to the socioeconomic details present and the use of kinship networks to distribute care among family members.


Author(s):  
Rafa Baptista ◽  
Marc Hinterschweiger ◽  
Katie Low ◽  
Arzu Uluc

2021 ◽  
Author(s):  
Jiejie Cheng ◽  
Yong Yang ◽  
Qingyang Zhang ◽  
Guangpeng Zhang ◽  
Mei Sun

Abstract BackgroundGeneral practitioners (GPs), as one important human resource for health, is facing a supply shortage in China. The diversity of individual decision-making behaviors of GPs and medical students increases the difficulty of supply forecasting. Agent-based simulation, as a bottom-up approach, has the potential to address this challenge.MethodsAn agent-based model was developed to forecast the supply of GPs in Shanghai, China. Based on the theory of working life cycle, we analyzed the life cycle of GPs and developed the framework. Publicly available data were used to parameterize the model. Several scenarios were conducted to test hypotheses and examine intervention stratigies. NetLogo 6.1.0 was used for model implemtation. ResultsThe model was run over a nearly 20-year time span from 2016 to 2035 in Shanghai. Simulated results showed that GPs in Shanghai will rise from 8,000 to 15,375 during this period. Sensitivity analysis showed that parameters of the health system had a greater impact on the results than those of the education system. ConclusionsReliable forecasting of the supply and demand is a prerequisite for solving the shortage of GPs. Comprehensive intervention strategies are needed to address the supply shortage. For example, as indiciated by our study, regions should increase their attractiveness to GPs and retain them more effectively, instead of just increasing the number of medical students enrolled.


PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247823
Author(s):  
Dhruv Sharma ◽  
Jean-Philippe Bouchaud ◽  
Stanislao Gualdi ◽  
Marco Tarzia ◽  
Francesco Zamponi

We discuss the impact of a Covid-19–like shock on a simple model economy, described by the previously developed Mark-0 Agent-Based Model. We consider a mixed supply and demand shock, and show that depending on the shock parameters (amplitude and duration), our model economy can display V-shaped, U-shaped or W-shaped recoveries, and even an L-shaped output curve with permanent output loss. This is due to the economy getting trapped in a self-sustained “bad” state. We then discuss two policies that attempt to moderate the impact of the shock: giving easy credit to firms, and the so-called helicopter money, i.e. injecting new money into the households savings. We find that both policies are effective if strong enough. We highlight the potential danger of terminating these policies too early, although inflation is substantially increased by lax access to credit. Finally, we consider the impact of a second lockdown. While we only discuss a limited number of scenarios, our model is flexible and versatile enough to accommodate a wide variety of situations, thus serving as a useful exploratory tool for a qualitative, scenario-based understanding of post-Covid recovery. The corresponding code is available on-line.


Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Zhen Li ◽  
Hongming Zhu ◽  
Qingfeng Meng ◽  
Changzhi Wu ◽  
Jianguo Du

The development of green products is gradually becoming important due to serious ecological issues. In this study, an agent-based model is developed to visualize and analyze the evolution of green decision-making in the manufacturing industry. Based on this agent-based model, the macrobehaviors of manufacturers, consumers, and products are analyzed and simulated. Our results show that, first, the manufacturing industry emerges showing a “convergence” effect. The manufacturers may overestimate the consumers’ green degree demand, but this gradually gets corrected through the mechanisms of market competition. Second, as consumer income increases, it becomes easier for manufacturers to adapt to the market’s supply and demand as impacted by the products’ green degrees, and it becomes unfavorable for them to form a monopoly in the market. Furthermore, the profit of manufacturers is mainly derived from the sales and gradually gets more influenced by the products’ green degree when the consumer income increases.


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