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10.1371/journal.pone.0249121 http://scihub22266oqcxt.onion/10.1371/journal.pone.0249121 33788886!8012053!33788886     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2021 ; 16 (3): e0249121 Nephropedia Template TP {{tp|p=33788886|t=2021. Tracking the impact of COVID-19 on economic inequality at high frequency |pdf=|usr=}}{{33788886}} gab.com Text Tracking the impact of COVID-19 on economic inequality at high frequency JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33788886 #FOAvip Pandemics have historically had a significant impact on economic inequality. However, official inequality statistics are only available at low frequency and with considerable delay, which challenges policymakers in their objective to mitigate inequality and fine-tune public policies. We show that using data from bank records it is possible to measure economic inequality at high frequency. The approach proposed in this paper allows measuring, timely and accurately, the impact on inequality of fast-unfolding crises, like the COVID-19 pandemic. Applying this approach to data from a representative sample of over three million residents of Spain we find that, absent government intervention, inequality would have increased by almost 30% in just one month. The granularity of the data allows analyzing with great detail the sources of the increases in inequality. In the Spanish case we find that it is primarily driven by job losses and wage cuts experienced by low-wage earners. Government support, in particular extended unemployment insurance and benefits for furloughed workers, were generally effective at mitigating the increase in inequality, though less so among young people and foreign-born workers. Therefore, our approach provides knowledge on the evolution of inequality at high frequency, the effectiveness of public policies in mitigating the increase of inequality and the subgroups of the population most affected by the changes in inequality. This information is fundamental to fine-tune public policies on the wake of a fast-moving pandemic like the COVID-19. Twit Text FOAVip Tracking the impact of COVID-19 on economic inequality at high frequency ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33788886 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33788886 #FOAvip English Wikipedia <ref>{{Cite pmid|33788886}}</ref> Tracking the impact of COVID-19 on economic inequality at high frequency #MMPMID33788886 Aspachs O; Durante R; Graziano A; Mestres J; Reynal-Querol M; Montalvo JG PLoS One 2021[]; 16 (3): e0249121 PMID33788886show ga Pandemics have historically had a significant impact on economic inequality. However, official inequality statistics are only available at low frequency and with considerable delay, which challenges policymakers in their objective to mitigate inequality and fine-tune public policies. We show that using data from bank records it is possible to measure economic inequality at high frequency. The approach proposed in this paper allows measuring, timely and accurately, the impact on inequality of fast-unfolding crises, like the COVID-19 pandemic. Applying this approach to data from a representative sample of over three million residents of Spain we find that, absent government intervention, inequality would have increased by almost 30% in just one month. The granularity of the data allows analyzing with great detail the sources of the increases in inequality. In the Spanish case we find that it is primarily driven by job losses and wage cuts experienced by low-wage earners. Government support, in particular extended unemployment insurance and benefits for furloughed workers, were generally effective at mitigating the increase in inequality, though less so among young people and foreign-born workers. Therefore, our approach provides knowledge on the evolution of inequality at high frequency, the effectiveness of public policies in mitigating the increase of inequality and the subgroups of the population most affected by the changes in inequality. This information is fundamental to fine-tune public policies on the wake of a fast-moving pandemic like the COVID-19. |*Socioeconomic Factors[MESH] |Adult[MESH] |Age Factors[MESH] |Aged[MESH] |COVID-19/*economics/epidemiology[MESH] |Female[MESH] |Humans[MESH] |Income/*statistics & numerical data[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics/economics[MESH]Tracking the impact of COVID-19 on economic inequality at high frequen(epmc).pdf DeepDyve Pubget Overpricing