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10.1007/s41027-020-00281-y http://scihub22266oqcxt.onion/10.1007/s41027-020-00281-y 33106736!7577360!33106736     free     free     free       Indian+J+Labour+Econ 2020 ; 63 (4): 921-939 Nephropedia Template TP {{tp|p=33106736|t=2020. Estimating Earnings Losses of Migrant Workers Due to COVID-19 |pdf=|usr=}}{{33106736}} gab.com Text Estimating Earnings Losses of Migrant Workers Due to COVID-19 JO: Indian J Labour Econ http://www.kidney.de/pget.php?&tw=1&pmid=33106736 #FOAvip While the wide-ranging impact of COVID-19 on incomes and livelihoods of people around the world will take some time to become known and understood, it is already clear that those who are in manual, mostly low-wage, occupations are among the worst-hit workers. This paper uses data from a sample survey of migrant workers to come up with useful parameters for estimating the potential losses from possible retrenchment of migrant workers due to the pandemic. The paper employs a simple estimation model using parameters derived from data collected from a KNOMAD-ILO survey of low-skilled migrant workers in the India-Saudi Arabia migration corridor, conducted during 2016-2017. An important finding is that the aggregate losses that low-skilled Indian workers in Saudi Arabia are likely to incur due to COVID-19-related retrenchment may be as high as 21% of their expected earnings. Adding recruitment costs can push up their losses to 36% of expected or potential earnings, while the aggregate remittances to their families could drop by USD 2 billion. Twit Text FOAVip Estimating Earnings Losses of Migrant Workers Due to COVID-19 ????Indian J Labour Econ http://www.kidney.de/pget.php?&tw=1&pmid=33106736 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33106736 #FOAvip English Wikipedia <ref>{{Cite pmid|33106736}}</ref> Estimating Earnings Losses of Migrant Workers Due to COVID-19 #MMPMID33106736 Abella MI; Sasikumar SK Indian J Labour Econ 2020[]; 63 (4): 921-939 PMID33106736show ga While the wide-ranging impact of COVID-19 on incomes and livelihoods of people around the world will take some time to become known and understood, it is already clear that those who are in manual, mostly low-wage, occupations are among the worst-hit workers. This paper uses data from a sample survey of migrant workers to come up with useful parameters for estimating the potential losses from possible retrenchment of migrant workers due to the pandemic. The paper employs a simple estimation model using parameters derived from data collected from a KNOMAD-ILO survey of low-skilled migrant workers in the India-Saudi Arabia migration corridor, conducted during 2016-2017. An important finding is that the aggregate losses that low-skilled Indian workers in Saudi Arabia are likely to incur due to COVID-19-related retrenchment may be as high as 21% of their expected earnings. Adding recruitment costs can push up their losses to 36% of expected or potential earnings, while the aggregate remittances to their families could drop by USD 2 billion. ?Estimating Earnings Losses of Migrant Workers Due to COVID-19 (epmc).pdf DeepDyve Pubget Overpricing