COVID-19 and Digital Resilience: Evidence from Uber Eats

Raj, Manav; Sundararajan, Arun; You, Calum

doi:10.2139/ssrn.3625638

Cited by 47 publications

(42 citation statements)

References 46 publications

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“…This finding is consistent withRaj, Sundararajan and You (2020), who document the increase of online orders on Uber Eats after stay-at-home orders.6 https://www.census.gov/retail/marts/www/timeseries.html. 7 https://restaurant.org/articles/news/restaurant-sales-hit-a-pandemic-high-in-june, National Restaurant Association.…”

supporting

confidence: 87%

Learning from Deregulation: The Asymmetric Impact of Lockdown and Reopening on Risky Behavior During COVID-19

Glaeser

Jin

Leyden

et al. 2020

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We thank Safegraph and Yelp for providing data. We thank Scott Kominers for helpful comments. Luca has done consulting for tech companies, including Yelp. Leyden was previously employed as an Economics Research Intern at Yelp, but did not receive compensation directly connected to this paper. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. At least one co-author has disclosed a financial relationship of potential relevance for this research. Further information is available online at http://www.nber.org/papers/w27650.ack NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

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supporting

confidence: 87%

Learning from Deregulation: The Asymmetric Impact of Lockdown and Reopening on Risky Behavior During COVID-19

Glaeser

Jin

Leyden

et al. 2020

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“…According to the National Restaurant Association, although June 2020 represented the highest monthly sales volume since the beginning of the pandemic lockdowns in March, it still remained roughly $18 billion (27.6%) down from the pre-coronavirus sales levels posted in January and February.7 These macro statistics differ from our data, because they tend to reflect national changes and do not account for the timing of local lockdown and reopening orders.In addition to the mobility and restaurant activity measures described above, we also use data on COVID-19 penetration, and the vote share for the Republican candidate in the 2016 presidential election. To measure COVID-19 penetration, we collect daily, cumulative COVID-19 case counts 5 This finding is consistent withRaj, Sundararajan and You (2020), who document the increase of online orders on Uber Eats after stay-at-home orders.6 https://www.census.gov/retail/marts/www/timeseries.html. 7 https://restaurant.org/articles/news/restaurant-sales-hit-a-pandemic-high-in-june, National Restaurant Association.…”

supporting

confidence: 62%

Learning from deregulation: The asymmetric impact of lockdown and reopening on risky behavior during COVID‐19

Glaeser

Jin

Leyden

et al. 2021

Journal of Regional Science

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During the coronavirus disease 2019 (COVID‐19) pandemic, states issued and then rescinded stay‐at‐home orders that restricted mobility. We develop a model of learning by deregulation, which predicts that lifting stay‐at‐home orders can signal that going out has become safer. Using restaurant activity data, we find that the implementation of stay‐at‐home orders initially had a limited impact, but that activity rose quickly after states' reopenings. The results suggest that consumers inferred from reopening that it was safer to eat out. The rational, but mistaken inference that occurs in our model may explain why a sharp rise of COVID‐19 cases followed reopening in some states.

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“…In March and April 2020, restaurants in the U.S. recorded a significant increase in orders for food delivery on the Uber Eats platform [ 93 ], and these consumers (who were highly afraid of the COVID-19) chose a private dining restaurant and a private dining table [ 51 ]. Mobility restrictions, the lockdown, and the closure of catering establishments have led to a sharp decline in consumer demand for lunch restaurants.…”

Section: Discussionmentioning

confidence: 99%

Use of Food Services by Consumers in the SARS-CoV-2 Pandemic. How the Eating Habits of Consumers Changed in View of the New Disease Risk Factors?

et al. 2021

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The SARS-CoV-2 pandemic in 2020–2021 changed the eating habits of people around the world. The aim of this study is to understand the effects of COVID-19 on changing consumers’ eating habits, including their concerns about food service nutrition in case of new disease risk factors. The survey conducted using the computer-assisted web-based interviewing method on a group of 1021 adult respondents in Poland. We collected information about consumer choices and habits related to use of food services during the pandemic. This research found that COVID-19 had an impact on consumers’ use of food services, both on-site and take-away. Using cluster analysis, we identified five main groups of food service consumers. It was found that almost half of the respondent group did not change their diet during the pandemic, 20% of respondents changed their diet to a positive one, and 20% to a diet that was negative. For respondents the most important forms of protection against COVID-19 in catering establishments were hand disinfection (70.3%), table disinfection (70.4%), wearing of masks and visors by staff (68.2%), and the possibility of cashless payments (64.6%). Based on cluster analysis (eight consumer clusters), we stated that majority of respondents did not see any threats to using catering service during the pandemic. Only a small group (8.1%) of respondents were afraid of the possibility of getting sick with COVID-19. This study presented the effects of COVID-19 on consumer eating behavior in catering and their concerns with food services uses. Discovering consumer concerns can reduce risk, increase food safety and improve eating habits.

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COVID-19 and Digital Resilience: Evidence from Uber Eats

Cited by 47 publications

References 46 publications

Learning from Deregulation: The Asymmetric Impact of Lockdown and Reopening on Risky Behavior During COVID-19

Learning from Deregulation: The Asymmetric Impact of Lockdown and Reopening on Risky Behavior During COVID-19

Learning from deregulation: The asymmetric impact of lockdown and reopening on risky behavior during COVID‐19

Use of Food Services by Consumers in the SARS-CoV-2 Pandemic. How the Eating Habits of Consumers Changed in View of the New Disease Risk Factors?

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