厄瓜多尔促进包容性适应和恢复COVID-19危机的政策应对和干预措施模拟

Q3 Social Sciences
C. Canelas, J. Robalino
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引用次数: 0

摘要

新冠肺炎对世界各地的经济和家庭健康产生了毁灭性影响。在这项研究中,我们从收入冲击、贫困率和不平等等方面评估了新冠肺炎的经济影响,以及旨在缓解新冠肺炎的政府干预措施对厄瓜多尔家庭福利的影响。使用的实证策略是根据2019年12月、2020年5月和2020年9月的横断面数据,按性别和经济部门衡量平均收入冲击,并使用这些估计值模拟2019年12月份数据中的个人收入冲击。这使我们能够根据人口统计和就业状况对我们的分析进行分类,以确定面临风险的群体,并帮助指导未来的政府新冠肺炎康复计划。我们发现,截至2019年5月,贫困人口增加了一倍多,达到57%,平均收入下降了50%以上。非正规工人、农村人口、土著家庭和有小孩的家庭受到的影响最大。到目前为止,政府干预措施的总体效果可以忽略不计,但它们可能对贫困线以下家庭的生存至关重要©2022,Canelas和Robalino
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulations of Policy Responses and Interventions to Promote Inclusive Adaptation to and Recovery from the COVID-19 Crisis in Ecuador
COVID-19 has had a devastating effect on the economy and the health of households around the world. In this study, we evaluate the economic impact of COVID-19, as well as the effect of government interventions aimed at alleviating it, on the welfare of Ecuadorian households in terms of income shocks, poverty rates, and inequality. The empirical strategy used is to measure mean income shock by gender and economic sector based on cross-sectional data from December 2019, May 2020, and September 2020, and use these estimates to simulate individual income shocks from the December 2019 data. This allows us to disaggregate our analysis by demographic and employment profile in order to identify groups at risk and help guide future government COVID recovery programs. We find that by May 2019, poverty had more than doubled, reaching 57%, and average income had fallen by more than 50%. Informal workers, rural populations, indigenous households, and households with young kids were among those most affected. Government interventions thus far have had a negligible effect in the aggregate, but they may have been crucial for the subsistence of households below the poverty line © 2022, Canelas and Robalino
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来源期刊
International Journal of Microsimulation
International Journal of Microsimulation Mathematics-Modeling and Simulation
CiteScore
0.80
自引率
0.00%
发文量
0
期刊介绍: The IJM covers research in all aspects of microsimulation modelling. It publishes high quality contributions making use of microsimulation models to address specific research questions in all scientific areas, as well as methodological and technical issues. IJM concern: the description, validation, benchmarking and replication of microsimulation models; results coming from microsimulation models, in particular policy evaluation and counterfactual analysis; technical or methodological aspect of microsimulation modelling; reviews of models and results, as well as of technical or methodological issues.
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