Kaszowska-Mojsa Jagoda, Włodarczyk Przemysław
Institute of Economics Polish Academy of Sciences, Nowy Świat St. 72, 00-330 Warsaw, Poland.
Department of Macroeconomics, Faculty of Economics and Sociology, University of Lodz, Gabriela Narutowicza 68, 90-136 Lodz, Poland.
Entropy (Basel). 2020 Nov 27;22(12):1345. doi: 10.3390/e22121345.
The ongoing COVID-19 pandemic has raised numerous questions concerning the shape and range of state interventions the goals of which are to reduce the number of infections and deaths. The lockdowns, which have become the most popular response worldwide, are assessed as being an outdated and economically inefficient way to fight the disease. However, in the absence of efficient cures and vaccines, there is a lack of viable alternatives. In this paper we assess the economic consequences of the epidemic prevention and control schemes that were introduced in order to respond to the COVID-19 pandemic. The analyses report the results of epidemic simulations that were obtained using the agent-based modelling methods under the different response schemes and their use in order to provide conditional forecasts of the standard economic variables. The forecasts were obtained using the dynamic stochastic general equilibrium model (DSGE) with the labour market component.
持续的新冠疫情引发了众多关于国家干预措施的形式和范围的问题,这些干预措施旨在减少感染和死亡人数。封锁措施已成为全球最普遍的应对方式,但被认为是对抗该疾病的一种过时且经济效率低下的方法。然而,在缺乏有效治疗方法和疫苗的情况下,没有可行的替代方案。在本文中,我们评估了为应对新冠疫情而实施的疫情防控方案的经济后果。分析报告了使用基于主体的建模方法在不同应对方案下获得的疫情模拟结果,以及这些结果在提供标准经济变量条件预测方面的应用。这些预测是使用包含劳动力市场成分的动态随机一般均衡模型(DSGE)得出的。