The Economic Effects of COVID-19 Containment Measures

Deb, Pragyan; Furceri, Davide; Ostry, Jonathan D.; Tawk, Nour

doi:10.1007/s11079-021-09638-2

Cited by 150 publications

(113 citation statements)

References 30 publications

(35 reference statements)

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“…Our findings contribute to the literature on the impact of the COVID-19 outbreak on international bond markets (Arellano et al 2020;Zaremba et al 2021aZaremba et al , 2021b. Our study shows that non-pharmaceutical interventions have adverse impacts on the international bond market (Arnon et al 2020;Deb et al 2021), increasing the volatility in bond markets. On the other hand, our findings prove that an increase in COVID-19 cases and deaths adversely impacts the volatility of the international bond market.…”

Section: Introductionsupporting

confidence: 61%

“…Nevertheless, the effectiveness of government strategies remains controversial, especially regarding non-pharmaceutical interventions. Many researchers have identified such interventions as having high economic costs, such as by creating a decline in industrial production (Deb et al 2021) and, at the same time, an increase in the proportion of unemployed (Arnon et al 2020). Moreover, Fan et al (2018) argued that different countries have different medical system preparations, rigor in government regulations, social factors such as pandemic comprehension, and response capacity.…”

Section: Introductionmentioning

confidence: 99%

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Responses of the International Bond Markets to COVID-19 Containment Measures

Nguyen

et al. 2022

JRFM

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Using an international sample during the COVID-19 outbreak, our study gives evidence that COVID-19 containment measures impact volatility in the international bond markets in different ways. We found that the positive effect of increasing new COVID-19 vaccinations markedly mitigates bond market volatility, while non-pharmaceutical government interventions resembling bad news increase volatility in bond markets. Besides this, changes in total COVID-19 cases and total deaths have co-movement and a significant relationship with this volatility. Our results imply that the investors’ responses to the trigger of increased uncertainty seem to differ in a way that depends on bad or good news as a reflection of the possibility of pandemic control and the health of the economy. The mass vaccinations not only signal a lower probability of stringent government responses to the pandemic but also stabilize investors’ behavior and mitigate compliance fears to open a period of safe living with coronavirus. Our findings are still robust when using alternative measures of independent variables and different forecasting models of conditional volatility.

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Section: Introductionsupporting

confidence: 61%

Section: Introductionmentioning

confidence: 99%

Responses of the International Bond Markets to COVID-19 Containment Measures

Nguyen

et al. 2022

JRFM

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“…Our study is limited to a single platform and a single country, so it may not be representative of trends on other platforms or other countries. Our study period includes the COVID-19 pandemic, a period of substantial social and economic disruption [4,12]. Furthermore, local median income and population density may not completely describe the businesses and reviewers; for example reviewers may travel from another area to the business or the area may be heterogeneous.…”

Section: Limitationsmentioning

confidence: 99%

Reviews in motion: a large scale, longitudinal study of review recommendations on Yelp

Amos¹,

Maio²,

Mittal³

2022

Preprint

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The United Nations Consumer Protection Guidelines lists "access ... to adequate information ... to make informed choices" as a core consumer protection right. However, problematic online reviews and imperfections in algorithms that detect those reviews pose obstacles to the fulfillment of this right. Research on reviews and review platforms often derives insights from a single web crawl, but the decisions those crawls observe may not be static. A platform may feature a review one day and filter it from view the next day. An appreciation for these dynamics is necessary to understand how a platform chooses which reviews consumers encounter and which reviews may be unhelpful or suspicious. We introduce a novel longitudinal angle to the study of reviews. We focus on "reclassification," wherein a platform changes its filtering decision for a review. To that end, we perform repeated web crawls of Yelp to create three longitudinal datasets. These datasets highlight the platform's dynamic treatment of reviews. We compile over 12.5M reviews-more than 2M unique-across over 10k businesses. Our datasets are available for researchers to use.Our longitudinal approach gives us a unique perspective on Yelp's classifier and allows us to explore reclassification. We find that reviews routinely move between Yelp's two main classifier classes ("Recommended" and "Not Recommended") -up to 8% over eight years -raising concerns about prior works' use of Yelp's classes as ground truth. These changes have impacts on small scales; for example, a business going from a 3.5 to 4.5 star rating despite no new reviews. Some reviews move multiple times: we observed up to five reclassifications in eleven months. Our data suggests demographic disparities in reclassifications, with more changes in lower density and low-middle income areas. Because our web crawls coincided with the COVID-19 pandemic, our data also allowed limited exploration of the impact of mask policies and discussions on reviews.

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“…This fight typically has relied heavily on a variety of strict public health protocols, mitigation strategies, lockdown protocols and other virus containment measures [1,2]. Unfortunately, many of these measures and protocols against the spread of the virus (e.g., closures of key commercial sectors, tough and impractical physical distancing requirements, restrictions on public movement and large gatherings locally and bans on regional/international travel) have contributed to exacerbating a diverse number of social and economic issues and challenges among many populations in developed and developing countries [3,4].…”

Section: Introductionmentioning

confidence: 99%

Perceived COVID-19 Vaccine Pressure in the Caribbean: Exploring a New Stressor–Strain Phenomenon in the Pandemic

Devonish

Dulal-Arthur

2022

Vaccines

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This research introduced the new construct of ‘perceived COVID-19 vaccine pressure’ (i.e., the psychological strain associated with societal demands on vaccine taking) and examined the initial psychometric properties of a newly proposed measure. The study surveyed 411 Barbadian respondents to examine their level of perceived COVID-19 vaccine pressure using an online survey modality. The results revealed strong and robust psychometric properties for the scale and its unidimensionality. Younger and employed respondents as well as those working in the tourism and hospitality and government (public) sectors experienced the greatest internalised vaccine pressure relative to other respondent groups. Only initial/preliminary evidence of the scale’s validity and reliability was revealed by this cross-sectional study. A follow-up study (using CFA on a new sample) is needed to provide stronger evidence for its validity and reliability. Understanding the dynamics of perceived or internalised vaccine pressure might help explain the positive or negative effects of societal pressure and its implications for vaccine hesitancy and other vaccine-related attitudes and behaviours. The study is the first to conceptually discuss and empirically examine the mental health strain occasioned by societal demands placed on individuals to take a COVID-19 vaccine.

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The Economic Effects of COVID-19 Containment Measures

Cited by 150 publications

References 30 publications

Responses of the International Bond Markets to COVID-19 Containment Measures

Responses of the International Bond Markets to COVID-19 Containment Measures

Reviews in motion: a large scale, longitudinal study of review recommendations on Yelp

Perceived COVID-19 Vaccine Pressure in the Caribbean: Exploring a New Stressor–Strain Phenomenon in the Pandemic

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