Gros, Daniel, and Alexandre Ounnas. “Labour market responses to the Covid-19 crisis in the United States and Europe.” CEPS Working Document No. 2021. Web.
The effect of the Covid-19 on unemployment is investigated in this article by evaluating and comparing labor market responses in the United States and the United Kingdom. The labor markets in the U.S. and in the EU have reacted to the Covid-19 issue in various ways. The findings reveal that NPIs have no substantial impact on monthly unemployment rate changes in the United States or the European Union. In both regressions, school closures appear to have a beneficial influence on unemployment, but the coefficients are not properly estimated.
The work is reliable because it collects and analyzes national statistical data. The analysis relies on seasonally adjusted unemployment rates published by the Bureau of Labor Statistics (BLS) and Eurostat, respectively, for US and EU member states. The government reaction tracker produced by Oxford’s Blavatnik School of Governance is also used in the study as a crucial metric of the restrictiveness of government responses to Covid-19. This tracker categorizes diverse policy actions done by governments worldwide in a consistent manner.
Because it provides a unique examination of the labor market response, this material is important for research into the influence of Covide-19 on job loss. The monthly data on containment measures collected in various jurisdictions may then be coupled with the normal monthly unemployment rate series. The statistical data from the study conducted by Gros and Ounnas (2021) might be analyzed in terms of the unemployment rate as the dependent variable, vs. the index of restrictiveness of NPIs, as the independent variable to uncover the consequences of these distinct policies.
Blustein, David L., et al. “Unemployment in the time of COVID-19: A research agenda.” Journal of Vocational Behavior, vol. 119, Web.
This essay represents the collective perspective of vocational psychology experts who attempted to build a study agenda in response to the large worldwide unemployment crisis that the COVID-19 epidemic has triggered. The study looks into the reasons for job losses and the impact of the crisis on the poor and working classes. It investigates the nature of the grief elicited by the loss of a job and life at the same time.
The study is trustworthy since it acknowledges and tackles experts’ privilege. It involves research into the work-family interface as well as juvenile unemployment. The study creates a framework for evidence-based interventions for jobless people. The research focus includes looking into how this unemployment crisis compares to prior times of unemployment. The study best informs transformative initiatives and necessary policy actions for people and communities who lost their jobs.
The presented material is useful for future research on the impact of COVID-19 on the working class since it may spark a broad-based research agenda. The study is also beneficial because it is based on the participants’ personal experiences. It can make a significant contribution to the development of experience-based, participatory research.
Posel, Dorrit, Adeola Oyenubi, and Umakrishnan Kollamparambil. “Job loss and mental health during the COVID-19 lockdown: Evidence from South Africa.” PloS one, vol. 16, no. 3, 2021, p. 0249352. Web.
During the COVID-19 pandemic in South Africa, this study looked at the impact of job loss and employment leave on people’s mental health. According to the study, adults who kept their paid jobs during the COVID-19 lockdown had considerably lower depression scores than those who lost their jobs. The economic ramifications of the COVID-19 pandemic, according to Posel et al. (2021), resulted in extraordinary employment losses, which negatively impacted mental health. As a result, health policy responses to the crisis must include physical and mental health measures.
Because the data for the study originated from the first and second waves of the national survey, the National Income Dynamics-Coronavirus Rapid Mobile Survey (NIDS-CRAM), which was conducted in May-June and July-August 2020, respectively, this source is trustworthy. The NIDS-CRAM sample was derived from a previous national survey on mental health conducted in 2017. The ordered logit regression model was best suited for analyzing the impact of employment status on depressed symptoms.
It is a resource to use for researching how the epidemic has affected employment losses. Using data analysis from South Africa is essential since future research will focus on the effect of COVID-19 on the poor and working-class people. As a third-world country with a developing economy, South Africa might provide compelling evidence and support for the claim that the pandemic had a wide-ranging influence on the economy of third-world countries.
Bauer, Anja, et al. Competing for jobs: How COVID-19 changes search behaviour in the labour market. No. 33, 2020. IAB-Discussion Paper, Web.
By analyzing Germany’s LinkedIn professional network data, the study gives insights into labor market rivalry, application reallocation, and potential sullying consequences. According to the findings, there has been a significant increase in job competitiveness among workers. The data collected in the study enables a link between more job applicants and a higher search intensity. Furthermore, according to LinkedIn statistics, people from industries that have been particularly hard hit by the crisis apply considerably more frequently, and the target industries for applications have shifted significantly.
Because the study analyzes data from the LinkedIn professional network for Germany to answer the questions above, the resource is trustworthy. The information provides a current picture of who is searching, what they are looking for, and what they discover. By examining general application behavior, it is possible to determine how job competitiveness among workers changed during the crisis.
The article is useful for future research since the shift from higher to lower quality applications discovered by Bauer et al. (2020) reveals that the crisis is hurting the operation of the labor market and preventing employees from developing their full potential. Implementing this data and approach provides a more comprehensive picture of the labor market’s status, as it addresses some of the challenges that traditional measures, such as tightness, confront.
Gallant, Jessica, et al. Temporary unemployment and labor market dynamics during the COVID-19 recession. No. w27924, Web.
The labor market dynamics of the COVID-19 recession in the United States are studied using a search-and-matching model incorporating temporary unemployment. Gallant et al. (2020) calibrate the model using panel data from the Current Population Survey from 2001 to 2019. To explain professional unemployment rate estimates, the study finds that some combination of the vacancy rate, job separation rate, and recall rate of workers on temporary layoff must decline significantly from current levels in the next months.
The article is trustworthy since it employs a specific model to forecast the unemployment rate for the following 18 months. When compared to a model that does not distinguish between temporary and permanent unemployment and professional and academic projections, the model predicts a faster recovery under a variety of assumptions regarding job losses and labor demand. The study also uses panel data from the Current Population Survey from 2001 to 2019 to calibrate its model.
The source is useful for future research since it aids in distinguishing between temporary and permanent unemployment during COVID-19. According to Gallant et al. (2020), the significant number of workers on temporary layoff at the outset of the COVID19 recession resulted in substantially less of a change in market tightness than if all of these workers had been permanently laid off.
Works Cited
Bauer, Anja, et al. Competing for jobs: How COVID-19 changes search behaviour in the labour market. No. 33/2020. IAB-Discussion Paper, Web.
Blustein, David L., et al. “Unemployment in the time of COVID-19: A research agenda.” Journal of Vocational Behavior 119 (2020): 103436. Web.
Gallant, Jessica, et al. Temporary unemployment and labor market dynamics during the COVID-19 recession. No. w27924. National Bureau of Economic Research, 2020. Web.
Gros, Daniel, and Alexandre Ounnas. “Labour market responses to the Covid-19 crisis in the United States and Europe.” (2021). Web.
Posel, Dorrit, Adeola Oyenubi, and Umakrishnan Kollamparambil. “Job loss and mental health during the COVID-19 lockdown: Evidence from South Africa.” PloS one 16.3 (2021): e0249352. Web.