Abstract:Social distancing and lockdown measures taken to contain the spread of COVID-19 may have distributional economic costs beyond the contraction of GDP. Here we evaluate the capacity of individuals to work under a lockdown based on a Lockdown Working Ability index which considers their teleworking capacity and whether their occupation is essential or closed. Our analysis reveals substantial and uneven potential wage losses across the distribution all around Europe and we consistently find that both poverty and wa… Show more
“…The share of jobs that, given their nature in terms of work context and of generalized work activities, can plausibly be performed at home is limited—only 37% in the USA ( Dingel and Neiman 2020 ). According to the ‘lockdown working ability’ index of workers, developed by Palomino et al. (2020) , which considers the possibility of working from home for each occupation and whether the occupation is considered essential, this situation is particularly problematic in Southern European countries, such as Italy.…”
Coronavirus has been portrayed as the ‘great equalizer’. None seems immune to the virus and to the economic consequences of the lockdown measures imposed to contain its diffusion. We exploit novel data from two real-time surveys to study the early impact on the labor market of the lockdown in Italy—one of the two countries, with China, hit hard and early. We find that low-educated workers, blue collars, and low-income service workers were more likely to have stopped working both 3-week and 6-week after the lockdown. Low-educated workers were less likely to work from home. Blue collars worked more from their regular workplace, but not from home. Low-income service workers were instead less likely to work from the regular workplace. For both blue collars and low-income service workers, the monthly labor income dropped already in March. Some positive adjustments took place between the 3rd and the 6th week from the lockdown: the share of idle workers dropped, as the proportion of individuals working at home and from their regular workplace increased. However, these adjustments benefited mostly highly educated workers and white collars. Overall, low-income individuals faced worse labor market outcomes and suffered higher psychological costs. (JEL codes: J21, I24, and H12)
“…The share of jobs that, given their nature in terms of work context and of generalized work activities, can plausibly be performed at home is limited—only 37% in the USA ( Dingel and Neiman 2020 ). According to the ‘lockdown working ability’ index of workers, developed by Palomino et al. (2020) , which considers the possibility of working from home for each occupation and whether the occupation is considered essential, this situation is particularly problematic in Southern European countries, such as Italy.…”
Coronavirus has been portrayed as the ‘great equalizer’. None seems immune to the virus and to the economic consequences of the lockdown measures imposed to contain its diffusion. We exploit novel data from two real-time surveys to study the early impact on the labor market of the lockdown in Italy—one of the two countries, with China, hit hard and early. We find that low-educated workers, blue collars, and low-income service workers were more likely to have stopped working both 3-week and 6-week after the lockdown. Low-educated workers were less likely to work from home. Blue collars worked more from their regular workplace, but not from home. Low-income service workers were instead less likely to work from the regular workplace. For both blue collars and low-income service workers, the monthly labor income dropped already in March. Some positive adjustments took place between the 3rd and the 6th week from the lockdown: the share of idle workers dropped, as the proportion of individuals working at home and from their regular workplace increased. However, these adjustments benefited mostly highly educated workers and white collars. Overall, low-income individuals faced worse labor market outcomes and suffered higher psychological costs. (JEL codes: J21, I24, and H12)
“…Although the shutdowns helped to reduce the COVID-19 infection rate, they also led to a global economic recession [ 20 ]. Poverty and social inequity significantly increased during the social distancing and lockdowns in European countries [ 21 ]. In the US, most states imposed stay-at-home orders in March and April 2020, and the national unemployment rate peaked in April at 14.44% and stayed above 10% through August 2020 [ 22 ].…”
This work used event study to examine the impact of three policies (shutdowns, reopening, and mask mandates) on changes in the daily COVID-19 infection growth rate at the state level in the US (February through August 2020). The results show the importance of early intervention: shutdowns and mask mandates reduced the COVID-19 infection growth rate immediately after being imposed statewide. Over the longer term, mask mandates had a larger effect on flattening the curve than shutdowns. The increase in the daily infection growth rate pushed state governments to shut down, but reopening led to significant increases in new cases 21 days afterward. The results suggest a dynamic social distancing approach: a shutdown for a short period followed by reopening, combined with universal mask wearing. We also found that the COVID-19 growth rate increased in states with higher percentages of essential workers (during reopening) and higher percentages of minorities (during the mask mandate period). Health insurance access for low-income workers (via Medicaid expansion) helped to reduce COVID-19 cases in the reopening model. The implications for public health show the importance of access to health insurance and mask mandates to protect low-income essential workers, but minority groups still face a higher risk of infection during the pandemic.
“…Regarding the effects on education, the UNESCO report [47] has been analyzed, referring to the reasons why learning should be strengthened, and education funding protected, in the current pandemic situation. The interpretation of the situation and its social impact has been considered on the basis of works published in reference journals, some of which are: Palomino, Rodriguez, and Sebastian, [40]; Kanda and Kivimaa, [41]; Donthu and Gustafsson [42]; Lakner et al [46]; and Cenat et al [48].…”
Section: Objectives Materials and Methodsmentioning
confidence: 99%
“…Consequences of the pandemic outbreak have caused a negative gross domestic product (GDP) and increased inequality and poverty [ 40 ]. Millions of people have lost their jobs at extremely high rates [ 41 ].…”
Section: Covid-19 and The Environmental Social And Economic Impamentioning
The aim of this paper is to study the effects of the spread of the COVID-19 virus in different regions and its impact on the economy and regional tourist flows. To this end, the researchers have been guided by a set of propositions which they have tried to demonstrate with the results obtained. This research shows that the impact of the pandemic is still being evaluated. The analysis of the relationship between the tourism sector and the pandemic outbreak in Spain provides an instructive case study to assist tourism in its recovery process. The paper delves into the impacts on the main Spanish touristic regions during the pandemic and providing implications for tourism recovery. In Spain, the tourism sector is of major economic importance, becoming one of the most vulnerable countries when crisis affects this industry. The negative image of the country due to the high infection rates has had a negative impact on travel and tourism. The Balearic Islands have been the most affected region with an 87% decrease in tourist visitors. The trips made by Spanish residents inside the Spanish territory shows the first increase found in the series analyzed. Domestic tourism not only represents an opportunity for all regions in this critical situation, but the types of accommodation also play a key role.
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