Menezes Flavio, Figer Vivian, Jardim Fernanda, Medeiros Pedro
School of Economics, The University of Queensland, Brisbane, QLD4072, Queensland, Australia.
Center of Studies in Infrastructure Regulation, Getulio Vargas Foundation, 22231000, Rio de Janeiro, Brazil.
Econ Model. 2022 Jul;112:105851. doi: 10.1016/j.econmod.2022.105851. Epub 2022 Apr 8.
During the COVID-19 pandemic, policymakers needed to assess the impact of large monetary and fiscal policy interventions in as close to real time as possible-yet existing survey-based indicators are usually released monthly or quarterly. The use of high-frequency data to track economic activity has become widespread. This paper constructs a near real-time economic activity indicator for the Brazilian economy during the COVID-19 pandemic. Brazil's integrated national electricity sector, which covers over 98% of the population, allows us to construct an economic activity indicator based solely on electricity consumption data that are available at near real time and accounts for activity in the large informal sector of the economy. We construct our indicator by isolating the variability in electricity consumption that is not related to economic activity, then measure how well monthly and quarterly versions of our indicator track against standard economic indicators. The results show strong correlation with standard indicators, notably during economic shocks.
在新冠疫情期间,政策制定者需要尽可能接近实时地评估大规模货币和财政政策干预的影响,然而现有的基于调查的指标通常是每月或每季度发布一次。利用高频数据跟踪经济活动已变得十分普遍。本文构建了一个在新冠疫情期间巴西经济的近实时经济活动指标。巴西的综合国家电力部门覆盖了超过98%的人口,这使我们能够仅基于近乎实时可得的电力消费数据构建一个经济活动指标,该指标涵盖了经济中庞大的非正规部门的活动。我们通过分离与经济活动无关的电力消费变化来构建指标,然后衡量我们指标的月度和季度版本与标准经济指标的跟踪情况。结果显示与标准指标有很强的相关性,尤其是在经济冲击期间。