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Institutional rules and economies of scale can create incentives for firms to make inframarginal decisions when offering fringe benefits. We examine how such incentives might affect a firm's offer of health insurance.

We develop and estimate an empirical model of the firm's offer of health insurance that includes incentives created by rules and economies of scale. We quantify the behavioral manifestations from rules and costs as recruiting difficulty in areas outside those in which compensation is set and the percentage of high-skilled jobs in the firm and use the California Health and Employment Surveys (CHES) to estimate the model.

We show a 10–13 percentage point increase in the probability of a firm offering workers health insurance in jobs outside of those in which compensation is being set, if the recruiting difficulty lies in mid- or high-skilled positions. This increase is about twice the size of the increase associated with recruiting difficulty in the position in which compensation is negotiated.

A failure to control for the influence of inframarginal decision making when estimating the wage-insurance tradeoff helps produce wrong-signed estimates.

By bringing institutional rules and economies of scale into the framework of a firm's offer of fringe benefits, we help move the focus of the fringe benefit-wage tradeoff away from the individual level.

The purpose of this paper is to understand the impending relationship between the impact of the US–China trade war on Taiwanese firms' spending on R&D and their offshore investment in technologically advanced countries (TAC), the authors examined if changes in these firms' R&D ratios and the growing presence of skilled workers in Taiwan's labour market during the trade war have affected their offshore investments in TAC.

Using a model built on pooled cross-sectional time-series data from 2012–2019, the authors examined whether a change in R&D ratios of domestic firms in Taiwan and the growing presence of skilled workers in Taiwan's labour market have affected the offshore investment by these firms during the trade war. Using data from the Manpower Utilisation Survey, the authors applied differences–in–differences–in–differences and differences–in–differences–in–differences–in–differences estimation methods and found that the trade war indeed gave a boost to Taiwan's job market, particularly for skilled workers.

From the estimation results, the authors noticed a rise in employment opportunities alongside a decline in the earnings of skilled workers in industries where more firms have spent on R&D as well as invested in offshore operations. However, firms in Taiwan that had not heavily spent on R&D from industries where investment in foreign operations was otherwise high have also attracted skilled workers during the trade war.

An in-depth analysis of the impact of the trade war on domestic firms' spending on R&D and their investment in offshore operations in TAC should be helpful to policymakers interested in understanding the effects of the trade war and subsequent changes in firms' spending on R&D on labour market outcomes. If changes in the R&D ratios and a steady supply of skilled workers influenced the outflow of Foreign Direct Investment (FDI) to TAC, this insight could be helpful for those devising policies and measures to curb the impact of the trade war on domestic spending on R&D.

The study findings not only provide broad lessons to policymakers in Taiwan, but the country case study can guide growing economies that are equally careful while perceiving trade war as a significant deterrent to domestic R&D spending and the outflow of FDI.

This paper presents a model with flexible wages in which unemployment of low‐skilled labor is possible in equilibrium, whereas high‐skilled workers are fully employed. Thus, the model can explain why even in countries with flexible labor markets and full employment of skilled labor an employment problem exists at the bottom of the skill spectrum. The model is used to evaluate the impact of technological change and increased skill supply on the employment of low‐skilled workers. It is shown that a switch to technologies with higher skill requirements unambiguously leads to a rise in unemployment of low‐skilled workers. An increase in the supply of high‐skilled labor has a positive effect on the employment level of low‐skilled labor.

The purpose of this paper is to contribute to a better understanding of whether emerging economies benefit or suffer more because of value-chain activities than advanced economies do. Specifically, it focuses on the consequences in terms of individual wages.

Panel data techniques are used to estimate an expanded Mincerian wage equation over the period 1995-2007. The analysis is performed using micro-level data for two countries that represent two different experiences of value-chain activities in Central Europe: Germany and Slovenia.

Increasing value-chain activities reduce wages for low-skilled workers in high-skill-intensive industries in Germany, hence driving up the skill wage premium. Conversely, evidence is found of a decreasing skill wage premium as a consequence of increasing value-chain activities in Slovenia. Finally, increasing value-chain activities reduces the wages of workers in low-skill-intensive industries in both Germany and Slovenia.

This paper analyses the effect of value-chain activities on wages. It is the first empirical assessment that brings individual wage data directly into the picture for an international comparison focussed on two Central European countries that represent “two faces” of value chains. This paper shows that the effects of increasing value-chain activities on wages differ by country, by industry and by individual skills.

The economic literature on labor migration has incorporated insights from various disciplines with regard to content and method, although the representation of migrants has not fully moved away from the neoliberal, market-dominated framework. This paper addresses the issue of women migrant workers using the particular example of Sri Lankan migrant women workers to the Middle East. It aims to highlight the need for more diversity in economic research without which conceptual representation, as well as empirical reach, is limited.

After a brief overview of the representation of migrants in economic literature, I develop the concept of vulnerability. I refer to qualitative and quantitative analyses on Sri Lankan migrant women workers to the Middle East from a variety of disciplines in order to differentiate the “vulnerable,” that is, the workers in need of protection, from the “vulnerabilities.” The latter concept refers to the debilitating effects on workers, produced by market forces, which are often perpetuated by underlying assumptions, as well as policies. A broader, inter-disciplinary perspective, which considers the agency of women, can go a long way toward removing some of the limitations and preconceptions ingrained in most economic representation. This in turn could help to improve the protection of the vulnerable and empower them to better face market forces.

There has been a period of slow but a steady increase in wage inequality in the Indian manufacturing sector since the mid‐1980s, which has gone hand‐in‐hand with an increase in the relative employment of skilled workers across all industries in the same period. The purpose of this paper is to investigate whether the co‐movement of relative employment and wages of skilled workers can be attributed to the changes in trade policy that has occurred in the Indian economy since the mid‐1980s.

The two dominant theoretical perspectives on why trade reforms lay lead to wage inequality are Heckscher–Ohlin theory and trade‐induced skill‐biased technological change (SBTC). The paper evaluates the applicability of these theoretical perspectives to the Indian case using disaggregated industry data from Annual Survey of Industries from 1973 to 1997.

Evidence was found of the validity of both the two dominant theoretical perspectives on wage inequality to explain the co‐movement in wage inequality and relative skill intensity in Indian manufacturing, with both variables increasing in the 1990s. Trade‐induced technological progress has led to an increase in relative skill intensity and wage inequality within industries. At the same time, the decline in protection that seems to have occurred more in unskilled labour‐intensive industries has led to a relative fall in the economy‐wide return to unskilled labour relative to skilled labour. Therefore, trade reforms have led to a widening of wage gap between skilled and unskilled workers, and an increase in relative skill intensity in Indian manufacturing.

The paper contributes to support of the trade‐induced SBTC hypothesis which may provide a consistent explanation of why many countries in the south experienced increases in wage inequality with the onset of trade liberalisation.

Wages have been spreading out across workers over time – or in other words, the 90th/50th wage ratio has risen over time. A key question is, has the productivity distribution also spread out across worker skill levels over time? Using our calculations of productivity by skill level for the United States, we show that the distributions of both wages and productivity have spread out over time, as the right tail lengthens for both. We add Organization for Economic Co-Operation and Development (OECD) countries, showing that the wage–productivity correlation exists, such that gains in aggregate productivity, or GDP per person, have resulted in higher wages for workers at the top and bottom of the wage distribution. However, across countries, those workers in the upper-income ranks have seen their wages rise the most over time. The most likely international factor explaining these wage increases is the skill-biased technological change of the digital revolution. The new artificial intelligence (AI) revolution that has just begun seems to be having similar skill-biased effects on wages. But this current AI, called “supervised learning,” is relatively similar to past technological change. The AI of the distant future will be “unsupervised learning,” and it could eventually have an effect on the jobs of the most highly skilled.

The purpose of this paper is to identify whether, through the eyes of standard skilled employees and job applicants, differences exist between different types of non‐standard skilled workers.

Data were taken from a large survey of US‐based companies measuring the amount of work being completed by skilled independent contractors and outsourcing agencies. These data were then used in regression models predicting employee turnover and the time needed to fill vacancies in these positions.

The results suggest that different types of non‐standard workers will have differing effects on skilled standard employees' and job applicants' behaviors. Organisations using independent contractors appear to achieve short‐term staffing flexibility, but these organisations may have more difficulty filling job vacancies. Organisations using outsourcing arrangements may not see any changes in their skilled standard employees' or job applicants' behaviors.

The study specifically measures the differences between diverse non‐standard work arrangements. It adds to the literature on the effects these work arrangements have on standard employees. It is the first to consider the job applicants' interpretations of potential employers using non‐standard workers in their field of work.

The purpose of this paper is to clarify the relationship of highly skilled work and (collective) power. It develops an institutional logics perspective and argues that highly skilled workers’ propensity to join trade unions varies by institutional order.

Data from two occupational fields in Austria, university professors and management consultants, representing two different institutional orders were collected via questionnaires. Stepwise logistic regression analysis was employed to test the hypotheses.

The results show that over and above organisational level variables, individual's background and employee power variables institutional logics significantly add to explaining trade union membership of highly skilled workers. Prevalence of a professional logic in a field makes collective action more likely than market logic.

Highly skilled workers are overall described as identifying themselves more with the goals of their employer or client and with their professional peers than with other corporate employees or organised labour. They are thus expected to develop consent rather than conflict orientation vis-á-vis their employers and clients. This paper supports a differentiated view and shows that within highly skilled work there are groups engaging in collective action. By developing an institutional logics perspective it provides a useful approach to explain heterogeneity within the world of highly skilled work.

The purpose of this paper is to examine the impact of migrant workers on the output growth of 15 sub-industries of the manufacturing sector in Malaysia during the period 1990–2008. The paper seeks to answer the following critical questions: what is the impact of migrant workers on the output growth of the manufacturing sector, the leading sector of Malaysian economy? It is possible that migrant workers with different skill levels may have different impacts on output growth of such sector?

The paper employs three econometric techniques: mean group, dynamic fixed effect and the pooled mean group on extended form for Cobb–Douglas production function.

The overall findings suggest that due to the inflow of low skills of migrant workers, output growth in the manufacturing sectors is likely to witnesses a marginal decline in the long run.

The present study complements previous studies by providing a quantitative assessment of the impact of migrant workers on output growth in the manufacturing sector in Malaysia, which is not attempted in extant literature. More importantly, the analysis considers the probability that migrant workers with different skill levels may have different impacts on the growth of output in the manufacturing sector.