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Forecasts about the effects of new technologies on labor demand are generally pessimistic. However, little is known about the current level of technology adoption and its effect on labor demand, particularly in developing countries. This paper exploits a national representative employer survey and administrative data from Peru to offer empirical evidence in this regard. Our results show that the adoption of new technologies by firms is still incipient in the country. However, when adopted, they slightly reduce the demand for workers in the medium term, particularly those in high-skilled and non-routine occupations, with a temporary job contract, and during the COVID-19 pandemic.
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PurposeThis study aims to verify the impact of the supply shock (fall in harvested output) and demand shock (fall in household income) due to the pandemic on the consumption of necessities and household savings of tilapia's smallholder farmer.Design/methodology/approachThe researchers randomly chose 144 households as research samples using the proportional random sampling technique in Padang Jaya District, North Bengkulu Regency. Researchers collected data on household income, farm losses, household consumption for basic needs, labor demand, use of production inputs, the amount of output sold and saving both during and before the pandemic. The data were collected from the sample using a questionnaire prepared by the researchers. This study used a simultaneous equations system for arranging tilapia's smallholder farmer household economic model.FindingsThis study verified that the demand shock phenomenon makes households more severe than the supply shock phenomenon. The demand shock phenomenon made worse-off tilapia smallholder farmers because it caused their household savings to drop during the pandemic. The fall in savings will disrupt the stability of consumption of household necessities (health, food, education and clothing) in the future.Originality/valueThe main contribution of this study was providing empirical evidence about the impact of the demand and supply shock of COVID-19 on the most vulnerable entities in the Indonesian freshwater aquaculture industry, namely, smallholder farmer households of freshwater aquaculture fish.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2022-0554.
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This paper analyzes the impact of automatic wage indexation on employment. To boost competitiveness and increase employment, Belgium suspended its automatic wage indexation system in 2015. This resulted in a 2% fall in real wages for all workers. In the absence of a suitable control group, we use machine learning for the counterfactual analysis. We artificially construct the control group for a difference-in-difference analysis based on the pre-treatment evolution of treated firms. We find a positive impact on employment of 1.2%, which corresponds to a labor demand elasticity of - 0.6. This effect is more pronounced for manufacturing firms, where the elasticity reaches - 1. These results show that a suspension of the automatic wage indexation mechanism can be effective in preserving employment.
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The COVID-19 pandemic disrupted the labour market in ways that have proved difficult for economists to predict. Early studies suggested that labour demand ‘collapsed'. This initial forecast proved to be overly alarmist, due to the short-run view. We find that labour demand has rebounded sharply, though an aberration has appeared in recent months. Using what is believed to be a near-universe of online jobs postings, we demonstrate that while total job postings are up 43% from pre-pandemic levels, only one-tenth of that increase is driven by increases in new postings. This suggests that the growth in job postings in the labour market is being driven by jobs that are remaining unfilled. Labour force participation has dropped to levels not seen since the 1970s, while unemployment claims have mirrored other recent economic downturns. Combined, these two measures account for almost all the remaining jobs shed during the recent economic downturn. Analysing the characteristics of these job postings, we find a decrease in required skills and salary compared to the pre-pandemic periods. Individuals appear unwilling to re-enter the labour market, likely because of the quality of jobs currently available, leading to an overall labour shortage.
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Continence care is a fundamental part of nursing, yet it has long been seen as a Cinderella service. [ FROM AUTHOR] Copyright of Primary Health Care is the property of RNCi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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One way for policymakers to reduce labor costs and stimulate the recruitment of marginalized groups of labor in a highly unionized economy is to lower payroll taxes. However, the efficiency of this policy instrument has been questioned, and previous evaluations have mostly found small employment effects for such reforms. We investigate the effects of a payroll tax cut in Sweden that decreased firms’ labor costs in relation to the number of young employees that they had employed when the reform was implemented in 2007. We find that most firms received small labor cost savings as a result of the reform, but those that received larger cost savings increased their number of employees significantly more than firms that received no, or minor, labor cost savings. Our findings also suggest that the payroll tax cut increased the total wages paid to incumbent workers, but the wage effect was too small to offset the positive extensive-margin employment effect of the reform. In total, we find that the Swedish payroll tax reform created 18,100 jobs over the period 2006–2008;most of these jobs were within the targeted group of young employees.
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The article discusses the increase in mental disorders among many American adults and the youth by the end of 2021, but with less than half of them getting adequate treatment. Topics covered include a state by state study on provision of psychiatric help based on cost, access, and quality, the factors of cost and physician shortage in foregoing mental health care, and pieces of legislation to address the crisis.
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The article presents the discussion on Bipartisan lawmakers calling for an investigation into "exorbitant" rate hikes by some nurse staffing agencies opening up opportunities for nurses earning record high salaries.
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The highly dynamic nature of the COVID-19 crisis poses an unprecedented challenge to policy makers around the world to take appropriate income-stabilizing countermeasures. To properly design such policy measures, it is important to quantify their effects in real-time. However, data on the relevant outcomes at the micro level is usually only available with considerable time lags. In this paper, we propose a novel method to assess the distributional consequences of macroeconomic shocks and policy responses in real-time and provide the first application to Germany in the context of the COVID-19 pandemic. Specifically, our approach combines different economic models estimated on firm- and household-level data: a VAR-model for output expectations, a structural labor demand model, and a tax-benefit microsimulation model. Our findings show that as of September 2020 the COVID-19 shock translates into a noticeable reduction in gross labor income across the entire income distribution. However, the tax benefit system and discretionary policy responses to the crisis act as important income stabilizers, since the effect on the distribution of disposable household incomes turns progressive: the bottom two deciles actually gain income, the middle deciles are hardly affected, and only the upper deciles lose income. Supplementary Information: The online version contains supplementary material available at 10.1007/s10888-021-09489-4.
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Using high-frequency job advertisement data, this paper evaluates dynamics among COVID-19, labor market, and government policies. We find that COVID-19 has caused a significant decline in labor demand, by as much as 30%, measured by the number of job advertisements. But the pandemic did not result in noticeable changes in advertised wages. Regarding the roles of government policies, the study finds that the "stay-at-home" measures implemented by states appeared to suppress labor demand. The Paycheck Protection Program (PPP) program helps to stabilize the advertised wages, but also suppresses labor demand. Finally, the pandemic may increase labor demand for certain healthcare-related occupations.
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We use job vacancy data collected in real time by Burning Glass Technologies, as well as unemployment insurance (UI) initial claims and the more traditional Bureau of Labor Statistics (BLS) employment data to study the impact of COVID-19 on the labor market. Our job vacancy data allow us to track the economy at disaggregated geography and by detailed occupation and industry. We find that job vacancies collapsed in the second half of March. By late April, they had fallen by over 40%. To a first approximation, this collapse was broad based, hitting all U.S. states, regardless of the timing of stay-at-home policies. UI claims and BLS employment data also largely match these patterns. Nearly all industries and occupations saw contraction in postings and spikes in UI claims, with little difference depending on whether they are deemed essential and whether they have work-from-home capability. Essential retail, the "front line" job most in-demand during the current crisis, took a much smaller hit, while leisure and hospitality services and non-essential retail saw the biggest collapses. This set of facts suggests the economic collapse was not caused solely by the stay-at-home orders, and is therefore unlikely to be undone simply by lifting them.