Lost Generations: Long-Term Effects of the COVID-19 Crisis on Job Losers and Labour Market Entrants,and Options for Policy*

This paper discusses the potential long-run effects of large-scale unemployment during the COVID-19 crisis in the labour market on vulnerable job losers and labour market entrants in the United States. The paper begins by contrasting measures of the scale of job loss during the crisis. These measures are paired with estimates from past recessions indicating that the costs of job loss and unemployment can reduce workers’ earnings and raise their mortality for several decades. Focusing only on a subset of vulnerable job losers, the potential lifetime earnings losses from job loss related to the COVID-19 pandemic are predicted to be up to $2 trillion. Related losses in employment could imply a lasting reduction in the overall employment–population ratio. For these workers, losses in potential life years could be up to 24 million. Even at the low range, the resulting estimates are substantially larger than losses in potential life years from deaths directly due to COVID-19. New labour market entrants are at risk to suffer long-term losses in earnings and mortality as well. Based partly on experiences in other countries, the paper discusses potential reforms to short-time compensation programmes and unemployment insurance, which could help limit the short- and long-term harm from layoffs going forward.     

新冠肺炎疫情、金融市场震荡与金融危机

新型冠状病毒感染肺炎疫情在全球快速蔓延后,美国等国家金融市场出现大幅度震荡,历史罕见。金融市场震荡是疫情影响投资者信心,金融市场本身的风险需要释放,以及经济基本面悲观预期等因素共同作用的结果。目前来看,疫情对实体经济造成冲击,疫情应对情况也在很大程度上决定了金融市场震荡是否演化为全球金融危机,国外金融市场震荡对国内金融市场的传导需要审慎理性处理。     

The Mental Health Effects of the First Two Months of Lockdown during the COVID-19 Pandemic in the UK*

In this paper, we estimate the effects of the COVID-19 pandemic on mental health in the UK. We use longitudinal micro data for the UK over the period 2009–20 to control for pre-existing trends in mental health and construct individual-specific counterfactual predictions for April 2020, against which the COVID-19 mental health outcomes can be assessed. Our analysis reveals substantial effects at the population level, approximately equal in magnitude to the pre-pandemic differences between the top and bottom quintiles of the income distribution. This overall effect was not distributed equally in the population – the pandemic had much bigger effects for young adults and for women, which are groups that already had lower levels of mental health before COVID-19. Hence inequalities in mental health have been increased by the pandemic. Even larger effects are observed for measures of mental health that capture the number of problems reported or the fraction of the population reporting any frequent or severe problems, which more than doubled. Pre-existing health vulnerabilities had no predictive power for subsequent changes in mental health.     

The Income and Consumption Effects of COVID-19 and the Role of Public Policy*

We provide empirical evidence on the labour market impacts of COVID-19 in the UK and assess the effectiveness of mitigation policies. We estimate the relationship between employment outcomes and occupational and industrial characteristics and assess the effects on consumption. Seventy per cent of households in the bottom fifth of the earnings distribution hold insufficient assets to maintain current spending for more than one week. We compare the effectiveness of the UK's Coronavirus Job Retention Scheme and of Economic Impact Payments in the US. The EIPs are more effective at mitigating consumption reductions as they have full coverage, depend on household structure and are higher for low-income workers.     

Information demand during the COVID-19 pandemic

We investigate the demand for financial information during the initial months of the COVID-19 pandemic. Using Google search data for individual stocks, we show that the Abnormal Google Search Volume Index declined significantly between March and June of 2020. We find a similar effect around earnings announcements dates, which confirms that the demand for financial information by retail investors declined during the pandemic. Our results are indicative of potentially important consequences for information diffusion, price discovery and market efficiency under extreme uncertainty. We discuss possible explanations for these results.     

Gold and US sectoral stocks during COVID-19 pandemic

In this study, we examine the hedging relationship between gold and US sectoral stocks during the COVID-19 pandemic. We employ a multivariate volatility framework, which accounts for salient features of the series in the computation of optimal weights and optimal hedging ratios. We find evidence of hedging effectiveness between gold and sectoral stocks, albeit with lower performance, during the pandemic. Overall, including gold in a stock portfolio could provide a valuable asset class that can improve the risk-adjusted performance of stocks during the COVID-19 pandemic. In addition, we find that the estimated portfolio weights and hedge ratios are sensitive to structural breaks, and ignoring the breaks can lead to overestimation of the hedging effectiveness of gold for US sectoral stocks. Since the analysis involves sectoral stock data, we believe that any investor in the US stock market that seeks to maximize risk-adjusted returns is likely to find the results useful when making investment decisions during the pandemic.     

Market sentiment to COVID-19 and the Chinese stock market

We classify the market sentiment to COVID-19 into expected and unexpected components and then examine their particular impacts on the stock market. We find that unexpected sentiment causes fluctuations in the stock market more than expected sentiment does. However, unexpected sentiment cannot affect stock market informativeness despite the remarkable informational effect of expected sentiment. Moreover, the relation between expected sentiment and stock market fluctuation or informativeness is one-way, whereas there exists a two-way interaction between unexpected sentiment and stock market fluctuation. This further confirms that expected sentiment is informational, whereas unexpected sentiment is quite noisy and informationally harmful.     

Disparities Old and New in US Mental Health during the COVID-19 Pandemic*

The COVID-19 pandemic has reduced well-being and economic security on a number of dimensions, likely worsening mental health. In this paper, we assess how mental health in the US population has changed during the pandemic. We use three large, nationally representative survey sources to provide a picture of mental health prior to and during the pandemic. We find dramatic but broad-based declines in the level of mental health from pre-pandemic baseline measures across both people and places. Rates of poor mental health have jumped roughly 25 percentage points, from a base of roughly one-third. We document substantial disparities in mental health but show that the pandemic has generally preserved, rather than widened, these. Significant worsening in relative mental health among Hispanics and respondents aged 30 and older are exceptions. Consistent with an important role for pandemic-specific shocks, We find that income loss, food insecurity, COVID-19 infection or death in one's close circle, and personal health symptoms are all associated with substantially worse mental health. If anything, the decline in mental health is worsening as the pandemic wears on and is becoming less related to local COVID-19 case rates.     

Work,Care and Gender during the COVID-19 Crisis*

We explore the effects of the COVID-19 crisis and the associated restrictions to economic activity on paid and unpaid work for men and women in the United Kingdom. Using data from the COVID-19 supplement of Understanding Society, we find evidence that labour market outcomes of men and women were roughly equally affected at the extensive margin, as measured by the incidence of job loss or furloughing. But, if anything, women suffered smaller losses at the intensive margin, experiencing slightly smaller changes in hours and earnings. Within the household, women provided on average a larger share of increased childcare needs, but in an important share of households fathers became the primary childcare providers. These distributional consequences of the pandemic may be important to understand its inequality legacy over the longer term.     

新冠肺炎疫情对发展中国家与新兴经济体包容性增长的影响研究

新冠肺炎疫情对全球经济发展造成巨大冲击,尤其给发展中国家与新兴经济体的包容性增长带来严重影响。本文通过分析新冠肺炎疫情对发展中国家和新兴经济体包容性增长的影响,总结发展中国家和新兴经济体在疫情冲击下的宏观经济政策,发现疫情对发展中国家与新兴经济体包容性增长产生的严重冲击主要包括经济遭受重创、贫困人口大幅反弹、收入不平等加剧和失业率上升等。基于此,提出发展中国家与新兴经济体要通过强化疫情防控、多种政策工具协同发力和加大对弱势群体的帮扶力度等措施,减弱疫情的影响,促进包容性增长。     

Effects of Temporary In‐Work Benefits for Welfare Recipients: Examination of the Australian Working Credit Programme*

We investigate the impact of ‘Working Credit’, a nationally‐implemented programme which created increased incentives for welfare recipients to undertake temporary work. Highlighting the difficulties in identifying programme effects in the absence of a randomised controlled trial or a natural experiment, we produce estimates of impacts under alternative identifying assumptions and also undertake various robustness checks. Unconditional and regression‐adjusted difference‐in‐difference estimates suggest that the introduction of the Working Credit programme increased employment rates, earnings and exits for those on income support, but matching methods and various robustness checks provide conflicting evidence on the impact on movements from welfare to work for unemployment benefit recipients. Moreover, estimated effects on earnings while on benefits are sensitive to identifying assumptions. Notwithstanding our inability to conclusively identify causal effects of the programme, we note that our findings are broadly consistent with the incentive effects of the programme, with recipients making use of the credits to increase earnings while on benefits, but not increasing movements off welfare.     

The Impact of COVID-19 on Share Prices in the UK*

The spread of COVID-19, and international measures to contain it, are having a major impact on economic activity in the UK. In this paper, we describe how this impact has varied across industries, using data on share prices of firms listed on the London Stock Exchange, and how well targeted government support for workers and companies is in light of this.     

Analyst Research Activity During the COVID-19 Pandemic

This paper documents that, in response to the COVID-19 pandemic, analysts increase their research activity and significantly revise their forecasts when compared to the pre-pandemic period. Uncertainty-adjusted forecast errors are either comparable or smaller during the pandemic compared to the pre-pandemic period. Investor attention and price reactions to analyst forecast revisions are higher during the pandemic and the effect is stronger in periods where investors actively search for information about firms. During the pandemic, investors value analyst price discovery role more than their role in interpreting public information. Jointly, the results suggest that analysts play an important information intermediation role during the COVID-19 pandemic.     

COVID-19 and the US Safety Net*

We examine trends in employment, earnings and incomes over the last two decades in the United States, and how the safety net has responded to changing fortunes, including the shutdown of the economy in response to the COVID-19 pandemic. The US safety net is a patchwork of different programmes providing in-kind as well as cash benefits, and it had many holes prior to the pandemic. In addition, few of the programmes are designed explicitly as automatic stabilisers. We show that the safety net response to employment losses in the COVID-19 pandemic largely consists only of increased support from unemployment insurance and food assistance programmes, an inadequate response compared with the magnitude of the downturn. We discuss options to reform social assistance in the United States to provide more robust income floors in times of economic downturns.     

Modelling the Distributional Impact of the COVID-19 Crisis*

The COVID-19 emergency has had a dramatic impact on market incomes and income-support policies. The lack of timely available data constrains the estimation of the scale and direction of recent changes in the income distribution, which in turn constrains policymakers seeking to monitor such developments. We overcome the lack of data by proposing a dynamic calibrated microsimulation approach to generate counterfactual income distributions as a function of more timely external data than are available in dated income surveys. We combine nowcasting methods using publicly available data and a household income generation model to perform the first calibrated simulation based upon actual data, aiming to assess the distributional implications of the COVID-19 crisis in Ireland. Overall, we find that the crisis had an equalizing real-time effect for both gross and disposable incomes, notwithstanding the significant hardship experienced by many households.     

Inequalities in Children's Experiences of Home Learning during the COVID-19 Lockdown in England*

This paper combines novel data on the time use, home-learning practices and economic circumstances of families with children during the COVID-19 lockdown with pre-lockdown data from the UK Time Use Survey to characterise the time use of children and how it changed during lockdown, and to gauge the extent to which changes in time use and learning practices during this period are likely to reinforce the already large gaps in educational attainment between children from poorer and better-off families. We find considerable heterogeneity in children's learning experiences – amount of time spent learning, activities undertaken during this time and availability of resources to support learning. Concerningly, but perhaps unsurprisingly, this heterogeneity is strongly associated with family income and in some instances more so than before lockdown. Furthermore, our analysis suggests that any impacts of inequalities in time spent learning between poorer and richer children are likely to be compounded by inequalities not only in learning resources available at home, but also in those provided by schools.     

Exploring the Impacts of the COVID-19 Pandemic on Productivity: A Study of Accounting Faculty Who Are Caregivers of Children*

This study explores how the COVID-19 pandemic affected the productivity of accounting faculty who identify as caregivers of children. We examine the effects on caregivers of children because of the significant shift in the family-work interface that resulted from remote working and learning. We draw on existing family-work conflict research to develop four hypotheses that explore why the productivity of accounting faculty who are caregivers of children might be affected differently during the pandemic than that of accounting faculty who are non-caregivers of children. We surveyed accounting faculty primarily across Canada and the United States. We find that accounting faculty caring for children during the pandemic experienced reduced research, teaching, and service productivity because of increased family-work conflict and depletion. We supplement our main findings with an analysis of open-ended questions to further understand productivity changes and supports for research, teaching, and service. Our study contributes to research examining family-work conflict, employee productivity, and the accounting profession by making practical recommendations for providing targeted support for caregivers of children during times of crisis.     

Comparing COVID-19 with the GFC: A shockwave analysis of currency markets

I analyze the shockwave effect of the COVID-19 pandemic on currency markets, with a comparison to the global financial crisis (GFC), employing Kapetanios m-break unit root test, investigations of standalone risk measures—downside variance, upside risk, volatility skewness, Gaussian Value at Risk (VaR), historical VaR, modified VaR—and Diebold–Yilmaz volatility spillover analysis. Standalone risk analysis shows that the turmoil in the initial months of COVID-19 was not as severe as that in the GFC. However, examination of co-movements and volatility spillovers illustrates a different scenario. According to the results of the static connectedness measure of Diebold–Yilmaz, the shockwave of the COVID-19 pandemic in the total volatility spillover is about eight times greater than that of the GFC. Among standalone risk measures, the results closest to this finding are obtained from volatility skewness analysis. Additionally, of six foreign exchange rates, the Brazilian real and Turkish lira are the currencies experiencing the greatest increase in received volatility during the GFC and the COVID-19 pandemic, respectively. These findings suggest the severe effect of crises on emerging financial markets.     

Resilience of Environmental and Social Stocks under Stress: Lessons from the COVID-19 Pandemic

This paper examines whether environmental and social (ES) activities affect the resiliency of firms during the COVID-19 crisis. We study a sample of 330 firms operating in five developed countries: Canada, France, Japan, the UK and the US. Our analysis shows that US firms with a high ES ranking experienced a significantly lower stock price range volatility during the Covid stock market rundown of February-March 2020. Such findings also hold for Japanese firms but only later on after the introduction of government support. In terms of returns, compared to their peers with a low ES ranking, Japanese and UK stock prices with a high ES ranking suffered more during and after the market rundown. For other countries, we do not find significant differences in stock price behavior based on ES ratings. Our findings suggest that engaging with ES activities is not associated with a better or worse performance during crisis times, which has important implications for investors and managers.     

COVID-19 Sentiment and the Chinese Stock Market: Evidence from the Official News Media and Sina Weibo

This study quantitatively measures the Chinese stock market’s reaction to sentiments regarding the Novel Coronavirus 2019 (COVID-19). Using 6.3 million items of textual data extracted from the official news media and Sina Weibo blogsite, we develop two COVID-19 sentiment indices that capture the moods related to COVID-19. Our sentiment indices are real-time and forward-looking indices in the stock market. We discover that stock returns and turnover rates were positively predicted by the COVID-19 sentiments during the period from December 17, 2019 to March 13, 2020. Consistent with this prediction, margin trading and short selling activities intensified proactively with growth sentiment. Overall, these results illustrate how the effects of the pandemic crisis were amplified by the sentiments.