Validating a dynamic input-output model for the propagation of supply and demand shocks during the COVID-19 pandemic in Belgium
比利时疫情期间供需冲击传播的动态投入产出模型验证AI 解读 ↓
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分类依据与纠错
AI 根据所提供的论文材料归类：摘要以动态生产网络和企业间投入需求联系研究供需冲击的传播。
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比利时疫情期间供需冲击传播的动态投入产出模型验证
- 研究问题
- 曾用于英国疫情冲击分析的动态生产网络模型，能否解释比利时经济变化，其冲击设定和投入替代限制如何影响准确性？
- 方法与思路
- 作者利用疫情期间观测数据修正供需冲击，以一百一十五条经济时间序列校准部分参数，并比较不同生产函数放松程度。
- 材料陈述的贡献
- 摘要称，模型较好捕捉产出、收入和就业演变，但高估企业间需求下降；放松严格 Leontief 限制改善了准确性。
- 阅读关注点
- 应核对校准与验证数据是否区分、拟合评价指标、关键投入调查的使用，以及企业间需求偏差如何影响冲击传播。
- 阅读边界
- 这是 arXiv 预印本，同行评审或期刊接收未经核实；摘要承认结构性偏差，也未提供不同放松程度可区分的充分证据。
原文摘要
This work validates a dynamic production network model, used to quantify the impact of economic shocks caused by COVID-19 in the UK, using data for Belgium. Because the model was published early during the 2020 COVID-19 pandemic, it relied on several assumptions regarding the magnitude of the observed economic shocks, for which more accurate data have become available in the meantime. We refined the propagated shocks to align with observed data collected during the pandemic and calibrated some less well-informed parameters using 115 economic time series. The refined model effectively captures the evolution of GDP, revenue, and employment during the COVID-19 pandemic in Belgium at both individual economic activity and aggregate levels. However, the reduction in business-to-business demand is overestimated, revealing structural shortcomings in accounting for businesses' motivations to sustain trade despite the pandemic's induced shocks. We confirm that the relaxation of the stringent Leontief production function by a survey on the criticality of inputs significantly improved the model's accuracy. However, despite a large dataset, distinguishing between varying degrees of relaxation proved challenging. Overall, this work demonstrates the model's validity in assessing the impact of economic shocks caused by an epidemic in Belgium.