Interaktionseffekte zwischen Mindestlöhnen und Lohnsubventionen. Eine Analyse zur Beschäftigung in den USA und in Deutschland

2015 ◽  
Vol 64 (1) ◽  
Author(s):  
Norbert Berthold ◽  
Mustafa Coban
Keyword(s):  
Minimum Wages ◽  
Interactive Effects ◽  
Substitution Effects ◽  
Skilled Workers ◽  
Skilled Worker ◽  
Empirical Examination ◽  
Wage Subsidies ◽  
Eine Analyse ◽  
The Us ◽  
Hump Shape

AbstractWe examine theoretically and empirically how wage subsidies and minimum wages interact regarding to employment opportunities, and how these interactive effects vary across different groups of workers. Assuming a neoclassical labor market and heterogeneous work, subsidized low-skilled worker displace less-skilled workers. The effect on non-subsidized low-skilled workers remains theoretically open. The empirical examination for the US shows that increasing minimum wages decreases less-skilled employment, haven’t an effect on non-subsidized low-skilled employment and induce a hump-shape of subsidized low-skilled employment. For Germany, however, several simulation studies indicate that the provided minimum wage and existing wage subsidies do not cause substitution effects, but lower employment of all workers in the low wage sector regardless of a grant funding.

Abstract P184: Occupation Type, Hypertension Status and Awareness Among Hispanic/Latino Adults: Findings From the Hispanic Community Health Study/ Study of Latinos (HCHS/SOL)

Circulation ◽  
2017 ◽  
Vol 135 (suppl_1) ◽  
Author(s):  
Natalya Rosenberg ◽  
Kamal Eldeirawi ◽  
Ramon Durazo-Arvizu ◽  
James Lash ◽  
Earle Chambers ◽  
...  
Keyword(s):  
Social Relations ◽  
Health Study ◽  
Skilled Workers ◽  
Skilled Worker ◽  
Hypertension Status ◽  
Service Workers ◽  
Occupational Differences ◽  
Hispanic Community ◽  
The Us ◽  
Latino Adults

Introduction: Occupation types, e.g. service, have been associated with hypertension (HTN). Data from Hispanics/Latinos are limited, despite high rates of HTN-related morbidity. We examined prevalence of HTN status and awareness by occupation type and association of occupation type with HTN status among Hispanic/Latino adults. Methods: Baseline data from HCHS/SOL, a cohort of diverse Hispanics/Latinos ages 18-74 in 2008-11, were used. Participants (N=7,429, mean age 38.9 years) reported current occupation (definition in Table). HTN was defined as elevated blood pressure (≥ 140/≥90 mm Hg) or self-reported use of antihypertensives; HTN awareness as self-reported physician diagnosed HTN. Survey statistical analyses were weighted and stratified by sex. Effect modification by years in the US, language and social acculturation was tested. Results: Non-skilled worker was the most common occupation type (males 30.1%; females 25.3%). Age-adjusted prevalence of HTN was highest in service workers (males 20.7%; females 17.4%); lowest in non-skilled workers (males 15.5 %; females 14.2%). The prevalence of HTN awareness was lowest in non-skilled male workers (48.2%); highest in females in higher status occupations (76.8%). The association of occupation type with HTN status varied by social acculturation (i.e. preferred ethnicity of social relations). In males, service workers with low social acculturation (preferred Hispanic/Latino social relations) had lower odds of HTN compared to those in higher status occupations, while service or skilled workers with high social acculturation had higher odds of HTN. Female non-skilled workers with low social acculturation had higher odds of HTN compared to higher status occupations (Table). Conclusions: Among Hispanics/Latinos, prevalence of HTN status and awareness varies by occupation type. Occupation type and social acculturation are jointly associated with HTN status. Strategies for HTN prevention and awareness should take into account occupational differences.

The dollar, trade, technology and inequality in the USA

1998 ◽  
Vol 166 ◽  
pp. 78-86 ◽  
Author(s):  
Bob Anderton ◽  
Paul Brenton
Keyword(s):  
Technological Change ◽  
Relative Wage ◽  
Skilled Workers ◽  
Wage Bill ◽  
Sudden Rise ◽  
The Us ◽  
The Usa ◽  
Trade Competitiveness ◽  
The Impact ◽  
High Skill

The US experienced a considerable increase in inequality between skilled and less-skilled workers during the early 1980s—a period which corresponds with a large temporary appreciation of the dollar. This article investigates the reasons behind this rise in inequality by evaluating the impact of trade with low-wage countries (LWCs) and technological change on the wage bill share of skilled workers (which is designed to capture movements in inequality arising from changes in both the relative wage and employment opportunities of the less-skilled). We find that an increase in US imports from LWCs—encouraged by the large appreciation of the dollar in the early 1980s—seems to explain some of the rise in US inequality in low-skill-intensive sectors, but that technological change (proxied by R&D expenditure) explains the rise in inequality in high-skill-intensive sectors. However, given that the timing of the sudden rise in US R&D expenditure corresponds with the appreciation of the dollar, it may be the case that the deterioration in US trade competitiveness during this period contributed to the rapid increase in the rate of technological change via mechanisms such as ‘defensive innovation’. Hence one might also argue that the technology-based explanation for the rise in US inequality could actually be a trade-based explanation.

scholarly journals Special Issue on Application of Robot and AI

2021 ◽  
Vol 15 (2) ◽  
pp. 139-139
Author(s):  
Naoki Asakawa
Keyword(s):  
Path Planning ◽  
Manufacturing Industry ◽  
Developed Countries ◽  
Human Hand ◽  
Path Generation ◽  
Trial And Error ◽  
Special Issue ◽  
Skilled Workers ◽  
Skilled Worker ◽  
Robot Hands

Due to changes in the global industrial structure, the number of employees in the manufacturing industry has decreased in developed countries. One of solutions to this situation offered in Industry 4.0 is “the utilization of robots and AI as alternatives to skilled workers.” This solution has been applied to various operations conventionally performed by skilled workers and has yielded consistent results. A skilled worker has two skills, namely, “physical operation skill” and “decision making skill,” which correspond to the utilization of robots and AI, respectively. Conventionally, robots have simply played back programs they were taught. However, owing to feedback technologies using force, position, or various other sensors, robots have come to be able to perform smart operations. In some of these, the capabilities of robots exceed those of human workers. For example, while humans are highly adaptive to various operations, it is difficult for them to maintain a constant force or position for long periods of time. Generally, humans make decisions about operations according to their experience, and this experience is gained from many instances of trial and error. Now, the trial-and-error learning of AI has become significantly superior to that of humans in terms of both number and speed. As a result, many systems can find operational strategies or answers much faster than humans can. This special issue features papers on robot hands, path planning, kinematics, and AI. Papers related to robot hands present an actuator using new principles, new movements, and the realization of the precise sense of the human hand. Papers related to path planning present path generation on the basis of CAD data, path generation using image processing, automatic path generation on the basis of environmental information, and the prediction of error and correction. Path generation using VR technology and error compensation using an AI technique are also presented. A paper related to kinematics presents the analysis and evaluation of a new mechanism with the aim of new applications in the field of machining. In closing, I would like to thank the authors, reviewers, and editors, without whose hard work and earnest cooperation this issue could not have been completed and presented.

Workforce Demands

2019 ◽  
pp. 49-66
Author(s):  
Julie Neal ◽  
Brittany Lee Neal
Keyword(s):  
Community Colleges ◽  
High Schools ◽  
Specific Training ◽  
Skilled Workers ◽  
Permian Basin ◽  
Skilled Worker ◽  
Close Proximity ◽  
Basin Area

Since the Permian Basin area requires a specific skillset, what can and is being done to find and retain those needed employees? Has anything been done to alleviate the continual issue of skilled worker shortages in the area? A critical shortage in skilled workers can be caused by retirement, youth moving to different areas, families relocating out of the area, lack of interest, and no training offered within a close proximity. A system that is working for employers and employees are partnerships. Employers today require specific skillsets resulting in business and industry partnering with high schools and community colleges to create skill-specific training. This chapter explores this phenomenon.

scholarly journals Character of Industrial 4.0 Skilled Workers

2018 ◽  
Vol 7 (4.33) ◽  
pp. 166
Author(s):  
Ana A ◽  
Danny Meirawan ◽  
Vina Dwiyanti ◽  
Saripudin S
Keyword(s):  
Literature Review ◽  
Older Workers ◽  
Industry 4.0 ◽  
Research Method ◽  
Technology Skills ◽  
Skilled Workers ◽  
Media Technology ◽  
Skilled Worker ◽  
Information Media ◽  
Automation Technology

Character of industrial 4.0 skilled worker is an important thing to prepare as soon to face industrial challenge in 4th revolution industry. Industrial 4.0 is an industry that combines automation technology with cyber technology. It will give more impact and change everything totally. Various forms of education must be introduced, but it still does not solve problems for older workers and do not want to change following the development of industrial progress. Because in industrial 4.0 of disruption era will be ordered robot as an effective and efficiency solution for industry and less cost also. So, as worker we must improve our skill to compete and win it. In this research contains three main topics are (a) knowing the industrial Era 4.0, (b) disruption in the industrial Era 4.0 (c) Skills to face industry 4.0. This research method use literature review as 1) searching and selection 2) describe, 3) analysis. The conclusions overall suggest that all workers must improve their skills to face industrial 4.0 era. In this research suggest 4 main skills are effective communication, learn and innovative, information-media-technology, skills full in life and career.   

Minimum Wages and Nascent Entrepreneurship in the US

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Agnieszka Kwapisz
Keyword(s):  
Public Policy ◽  
Minimum Wage ◽  
Labor Economics ◽  
Minimum Wages ◽  
Lower Probability ◽  
Female Entrepreneurs ◽  
Nascent Entrepreneurship ◽  
Wage Rates ◽  
The Us ◽  
Startup Process

Abstract The effect of minimum wages on employment is one of the most widely studied and most controversial topics in labor economics and public policy but its impact on early startups is poorly understood and under-researched. In this manuscript, we investigate whether minimum wage rates correlate with the probability that a nascent startup hires employees and achieves profitability, a topic that has never been addressed before. We found negative but not significant correlation between the minimum wage rates and a nascent venture’s probability of hiring employees. However, female entrepreneurs were significantly less likely than male entrepreneurs to hire when faced with higher minimum wage rates. For ventures with employees, higher minimum wage rates were correlated with lower probability of achieving profitability vs. quitting the startup process.

Contingency factors and reshoring drivers in the textile and apparel industry

2018 ◽  
Vol 29 (6) ◽  
pp. 1025-1041 ◽  
Author(s):  
Megan E. Moore ◽  
Lori Rothenberg ◽  
Harry Moser
Keyword(s):  
Significant Relationship ◽  
Quantitative Research ◽  
Secondary Data ◽  
Apparel Industry ◽  
Skilled Workers ◽  
Content Type ◽  
The Us ◽  
Textile And Apparel ◽  
Apparel Companies ◽  
Textile And Apparel Industry

Purpose The purpose of this paper is to examine the relationship between contingency factors and reshoring drivers in the US textile and apparel industry. Design/methodology/approach Secondary data on the reshoring drivers and contingency factors for 140 US textile and apparel companies are analyzed using analysis of proportions. Findings The findings show that total annual revenue is significantly related to the reshoring driver of skilled workforce. No significant relationships are present between reshoring drivers and the region of the world reshored from not the region of the USA from which a company operates. There is a significant relationship between market segment and the reshoring driver of manufacturing process. The US production category (reshored, FDI, or kept from offshoring) exhibits a significant relationship with sustainability-related and cost-related reshoring drivers. Quality is a significant driver for reshoring from 2010 to 2016, although decreasing as a reported reason over that time period. Research limitations/implications Limitations include a focus on one industry, the lack of information to investigate the differences between companies making captive or outsourced reshoring decisions, and the use of companies who publicly announced reshoring. Practical implications This study outlines the relationships between contingency factors and reshoring drivers. The results provide companies with information about resources that will be demand (e.g. skilled workers) as well as policies and regulations that may be developed to address concerns such as sustainability. Originality/value This study adds to the limited number of studies on the relationships between contingency factors and reshoring drivers and contributes to the quantitative research on reshoring drivers.

scholarly journals Comparative Advantage and Skill-Specific Unemployment

2011 ◽  
Vol 11 (1) ◽  
Author(s):  
Mario Larch ◽  
Wolfgang Lechthaler
Keyword(s):  
Heterogeneous Firms ◽  
Unskilled Worker ◽  
Skilled Workers ◽  
Skilled Worker ◽  
Industry Trade ◽  
Trade Model ◽  
Unskilled Workers ◽  
Endogenous Selection ◽  
Two Sectors ◽  
Selection Of

Abstract We introduce unemployment and endogenous selection of workers into different skill-classes in a trade model with two sectors and heterogeneous firms. This allows us to identify three different channels through which trade liberalization can affect unemployment: specialization, changes in productivity, and mobility. These three channels may work in opposite directions and their relative importance depends on the type of trade (intra-industry trade vs. inter-industry trade) and the skill-class of a worker. We show that the gains from trade are distributed very unequally. When a skilled worker abundant country opens up to trade with a country that is unskilled worker abundant, the biggest losers are the skilled workers in the import sector in the skill abundant country. However, average unemployment among skilled workers goes down, while average unemployment among unskilled workers goes up.

scholarly journals How Does Immigration Affect Wages and the Unemployment Rate in Malaysia? A Computable General Equilibrium (CGE) Approach

2020 ◽  
Vol 16 (11) ◽  
pp. 100
Author(s):  
Rusmawati Said ◽  
Kamarul Hidayah Abdul Hamid ◽  
Nursyazwani Mazlan
Keyword(s):  
General Equilibrium ◽  
Unemployment Rate ◽  
Migrant Workers ◽  
Computable General Equilibrium ◽  
Migrant Worker ◽  
Substitution Effects ◽  
Skilled Workers ◽  
Small Rise ◽  
Cge Modeling ◽  
Skilled Immigrant

Malaysia had approximately 2 million migrants in 2018, and this number was increasing dramatically by 25 percent in 2019. Parallels with the aims of country policy to reduce migrant workers' dependency in 2020, managing the workers needs to be clarified. At the same time, the country still needs to keep them for specific sectors. These issues motivate us to analyze the migrant worker's requirements at different levels of skills and wages. Using Computable General Equilibrium (CGE) modeling, at four-level nested CES production function, this study found high skilled migrants will harm wages for the high skilled and skilled groups while the opposite effect was observed for the semiskilled and low-skilled groups. However, when the migrant stock increases slightly below 1 percent, it will reduce the wages for semiskilled workers due to substitution effects. This study also found that the influx of low-skilled migrant workers will reduce salaries for semiskilled and low-skilled workers. The analysis also indicates that a small rise in high skilled immigrant labour will reduce the unemployment rate; likewise, increasing more than 4 percent will increase the unemployment rate. The results provide the policymaker guidelines to employ foreign workers' best skills to control the inequality of wages among skilled and low-skilled workers.

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