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The purpose of this paper is to evaluate skilled labor demand determinants in Brazil, considering alternatives explanations: changes in relative wages, non-homothetic technology output growth and skill-biased technical change.

This study relies on a rich and unique matched employer-employee data set for manufacturing sector, from 1996 to 2003. The analysis considers a translog functional form labor demand system estimated using seemingly unrelated regression and instrumental variables to control for possible measurement errors and wages and output endogeneity.

The demand function estimates suggest that: labor demand underlying technology is non-homothetic, research and development investment is biased toward skilled workers, the non-homothetic technology is not skill biased so output changes contributed positively for skilled labor increase, relative wages played a significant role and international trade has little explanatory power explaining labor demand shifts.

This is the first paper that considers alternative explanations for the increase in the demand of skilled workers for manufacturing in Brazil simultaneously: changes in relative wages, output changes with non-homothetic technology, skill-biased technical change and, to a lesser extent, international trade. The study challenges current empirical evidence that considers trade and trade liberalization as the main factor explaining labor demand shifts.

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 focus on the impact of trade openness and technology import on the change in demand structure of employment toward skilled workers. Because of the limited number of empirical papers done in the case of Tunisia, this research investigates whether these factors had similar effects on relative labor demand in Tunisia to those observed in the international literature.

For this purpose, the paper uses a manufacturing industries database provided by the Tunisian National Institute, the Quantitative Economic Institute and Comtrade of United Nations for six manufacturing industries. The methodology used here is a panel data technique, and consists of estimating a dynamic relative employment equation.

Empirical results show that trade liberalization and technology change positively affect relative employment of Tunisian manufacturing industries which confirms the existence of skill biased technological change that contributes to increase the relative demand for skilled workers.

The paper adds to existing literature by studying for the first time the case of Tunisian manufacturing industries by using dynamic model. The paper deals also with an econometrics issues related to the use of suitable estimation methodology in the case of dynamic panel data at macroeconomics level.

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.

This study aims to analyze the wage differentials of the majors in college education in Turkey, which is a country implementing an ongoing expansion in college education in recent years.

The study implements Mincreian wage regression using ordinary least squares, Heckman two-step estimation and quantile regression with sample selection correction by using household labor force surveys of TurkStat from the years 2014–2017.

The findings indicate one of the highest heterogeneity, close to 0.50 log points, between majors in the literature. The within-heterogeneity created by majors is highest among the graduates of social-behavioral sciences, law, biology, physics, mathematics, statistics, computer, engineering and manufacturing, as shown by a 90–10 difference, which is almost 700% for some of these majors. This study shows that the natural science and technical majors that are expected to be more productive and to be paid more fall behind in the wage distribution.

Estimation results show that natural science majors, except for subjects allied to medicine and engineering, are paid lower than law and service-sector-related majors. This indicates that the predictions of the skill-biased technical change hypothesis are not valid in the wage profiles in Turkey and that some majors supply more than the sectoral needs. This casts doubts on the effectiveness of the ongoing higher education expansion process of the country.

This study contributes to the literature on wage differentials of college majors, an area with limited studies. This is the first study analyzing wage differentials of the field of studies by correcting sample selection bias for the Turkish case.

We analyze the evolution of the gender wage gap in Mexico between 1989 and 2012, a period in which skill-biased technological change accelerated. We deviate from most prior work investigating the gap across the wage distribution. We find substantial gender wage convergence in the decade of the 2000s at the mean and, more markedly, at the upper and lower ends of the wage distribution, alongside little change in the median wage gap. The gender wage gap at the 90th percentile was largely eliminated by the year 2012 and, at the 10th percentile, it narrowed by a fourth of its 1990 level. This narrowing of gender inequality in wages occurred alongside a narrowing of inequality in wages within each gender group. The share of college-educated women relative to men in the work force grew substantially over the two decades, and they sorted disproportionately into brain-intensive occupations, where the gender wage gap fell sharply. The wage return to being in a brain-intensive occupation was, in both periods, greater for women; it declined for men while rising for women during the 2000s. Our findings demonstrate how structural economic change may interact with a biologically premised comparative advantage of women in brain-intensive occupations to raise their relative wages. Our results also underline the relevance of studying changes across the wage distribution.

In relation to the analysis of inequality and skill‐bias innovation, this article develops a theoretical model for determining the influence of work organisation on incentives and earnings. In a linear agency model, which explains innovative work organisation practices from an incentive perspective, we show that the static impact of organisational forms on expected earnings can be decomposed into two effects (a risk premium effect and a task complementarity effect originated in learning and information diffusion). Such effects drive productivity and expected pay‐offs upward, as observed in many recent empirical studies. Thus, the development of new work practices based on a greater degree of delegation contributes to the increase of earnings inequality. In a dynamic perspective, the model shows that knowledge dissemination will in general sustain the same trend. However, when initial efforts and productivity are relatively high, output and pay‐offs will decline during the transition to the steady‐state. The overall impact of organisational forms on earnings and inequality may therefore be ambiguous, depending on the importance of learning.

While there has been intense debate in the empirical literature over the evolution of the college wage premium in the United States, its evolution in Europe has received little attention. This paper investigates the causes of the evolution of the college wage premium in 12 European countries from 1994 to 2009, assessing the relevance of the supply factor as a determinant of the college wage premium. I use cross-country variation in relative supply, demand, and labour market institutions to examine their effects on the trend in wage inequality. I address possible concerns of endogeneity of the relative supply using an IV strategy exploiting the differential legislations of university autonomy and their variations over time. Results show that the strong increase in the relative supply that European countries have experienced has decreased the college wage premium. The most relevant institution is the minimun wage, which significantly decreases college wage premium.