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{"title":"新冠肺炎对生活水平的影响:用扫描数据和未知的经济行为应对当前前所未有的宏观经济冲击的挑战","authors":"N. Lustig, V. M. Pabon, F. Sanz, S. Younger","doi":"10.34196/ijm.00273","DOIUrl":null,"url":null,"abstract":"We present a methodological approach with relatively low information requirements to quantify the impact of large, unprecedented macroeconomic shocks like the COVID-19 pandemic on living standards across the income distribution. The approach can be produced quickly and, contrary to other \"fast-delivery\" exercises, does not assume that income losses are proportional across the income distribution, a feature that is critical to understanding the impact on poverty and inequality. Our method is sufficiently flexible to refine the projected effects of the shock as more information becomes available. We illustrate with data from the four largest countries in Latin America: Argentina, Brazil, Colombia, and Mexico, and discuss the estimated effect of COVID-19 on inequality and poverty. We also present the guidelines for adapting our framework to different countries and economic shocks © 2023, Lustig et al","PeriodicalId":37916,"journal":{"name":"International Journal of Microsimulation","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Impact of COVID-19 on Living Standards: Addressing the Challenges of Nowcasting Unprecedented Macroeconomic Shocks with Scant Data and Uncharted Economic Behavior\",\"authors\":\"N. Lustig, V. M. Pabon, F. Sanz, S. Younger\",\"doi\":\"10.34196/ijm.00273\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a methodological approach with relatively low information requirements to quantify the impact of large, unprecedented macroeconomic shocks like the COVID-19 pandemic on living standards across the income distribution. The approach can be produced quickly and, contrary to other \\\"fast-delivery\\\" exercises, does not assume that income losses are proportional across the income distribution, a feature that is critical to understanding the impact on poverty and inequality. Our method is sufficiently flexible to refine the projected effects of the shock as more information becomes available. We illustrate with data from the four largest countries in Latin America: Argentina, Brazil, Colombia, and Mexico, and discuss the estimated effect of COVID-19 on inequality and poverty. We also present the guidelines for adapting our framework to different countries and economic shocks © 2023, Lustig et al\",\"PeriodicalId\":37916,\"journal\":{\"name\":\"International Journal of Microsimulation\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Microsimulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.34196/ijm.00273\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Microsimulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34196/ijm.00273","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
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The Impact of COVID-19 on Living Standards: Addressing the Challenges of Nowcasting Unprecedented Macroeconomic Shocks with Scant Data and Uncharted Economic Behavior
We present a methodological approach with relatively low information requirements to quantify the impact of large, unprecedented macroeconomic shocks like the COVID-19 pandemic on living standards across the income distribution. The approach can be produced quickly and, contrary to other "fast-delivery" exercises, does not assume that income losses are proportional across the income distribution, a feature that is critical to understanding the impact on poverty and inequality. Our method is sufficiently flexible to refine the projected effects of the shock as more information becomes available. We illustrate with data from the four largest countries in Latin America: Argentina, Brazil, Colombia, and Mexico, and discuss the estimated effect of COVID-19 on inequality and poverty. We also present the guidelines for adapting our framework to different countries and economic shocks © 2023, Lustig et al