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Most models attempting to give an account of trade-induced symmetric increase in wage inequality have abandoned the factor price equalization (FPE) framework. The present chapter retains the FPE framework and identifies a plausible route through which trade might increase wage inequality in all trading countries. A two-sector model with one constant returns sector producing basic goods and another increasing returns to scale sector producing fancy goods is developed. A quasi-linear utility function is used to capture the divide between basic and fancy goods. There are two types of productive factors, skilled and unskilled labour, and they differ with respect to their occupational options. Skilled labour can work both in the skill using fancy goods sector and in the unskilled labour using basic good producing sector, whereas unskilled labour is tied down to unskilled job. The model holds possibilities of multiple equilibria and under reasonable parameterization skill premium increases in all countries following trade.

Due to greater returns to high skill and desirable amenities, high-skilled workers are increasingly agglomerating in metropolitan areas and form path dependence. This chapter explores whether the land supply policy of China constraining big cities' urban construction land quota strengthens the spatial divergence of human capital. Using city-level land supply data, population census data, and land transaction micro data, we find that the higher the degree of a city's land supply lagging behind land demand, the greater the enlargement effect of the initial share of population with college degrees on the increase in share of population with college degrees. Further research reveals that the main mechanism causing this phenomenon is the rapidly rising housing prices hindering low-skill labor flows to big cities.

The South African government actively intervenes in the labor market in the pursuit of redress of social injustice. These interventions are complicated by economics and have a direct effect on intentions to turnover. In addition, South Africa has a dual labor market, with a high unemployment rate among lesser skilled workers, and a skills shortage at the top of the labor market.

There are four clear eras in the labor market of post-Apartheid South Africa. The first era was after democratic elections in 1994, when the government focused on nation-building with the introduction of indigenization programs. The second era was characterized by economic prosperity and an intensification of indigenization programs. The third era was characterized by rampant state corruption and increased regulatory uncertainty. During this period, the economy stagnated and unemployment increased. Firms restructured and lower-level workers were retrenched and higher-level skilled workers left the country. In 2018, a new president undertook to grow the South African economy and attract foreign direct investment. Despite these efforts, there was a spike in South Africans emigrating, increasing the turnover of highly skilled South Africans of all races.

Economics and politics create both push and pull factors and many unintended consequences, and the dual labor market reacts differently to labor markets than in developed economies. The lower-skilled employees lose their jobs as the economy contracts, while highly skilled jobs remain difficult to fill. However, skilled professionals nonetheless feel increasingly uncertain about their future employability.

We investigate the positive and normative consequences of child-labor restrictions for economic aggregates and welfare. We argue that even though the laissez-faire outcome may be inefficient, there are usually better policies to cure these inefficiencies than the imposition of a child-labor ban. Given this finding, we investigate the potential political-economic reasons behind the emergence and persistence of child-labor legislation. Our investigation is based on a structural dynamic general equilibrium model that provides a coherent and uniform framework for our analysis.

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.

This article studies the evolution of the wage differentials between graduate (skilled) and non-graduate (unskilled) workers in several European countries from the beginning of the 1990s to the beginning of this century. The starting point is that all European countries show a common increase in the relative supply of skilled workers but different evolution of wage differentials. Economics theory usually relates the evolution of wage differentials not only to relative supply but also to skill-biased technological progress. I complement this explanation providing a theoretical model of wage bargaining where wage differentials are determined also by labour market institutions. My empirical findings show that both technological progress and labour market institutions are important in the determination of wage differentials. As for the former, I find that differentials depend on the pace and intensity at which technological progress takes place. As for labour market institutions, their effect, though important, is not always straightforward. In fact, some aspects of institutions, like minimum wage and the duration of unemployment benefits, favour unskilled workers while other aspects, like bargaining power and replacement rates from unemployment benefits, may magnify the differences in outside options and actually increase wage differentials.

Purpose: The main objective of this study is to provide an overview of the extent of labor and skills shortages that exist in the information and communication technology (ICT) sector in Malta and gain insights into the dependency on foreign labor. Methodology: This study draws upon primary data generated from two research instruments, namely in-depth interviews and an online questionnaire. Various in-depth interviews were conducted with key institutional actors. In addition to the interviews, six locally based companies were requested to complete an online questionnaire. Secondary data from ICT surveys, official documents were consulted. Findings: Findings emerged from this study relate to each of the four seminal thematics, namely, demand and supply, rationale for employing foreign labor, wages, and challenges of foreign labor employment. Practical Implications: This study examined the current contribution of foreign labor in the ICT sector. Unsustainable growth in the ICT sector creates a demand for skilled labor which is currently not locally available. Significance: ICT is one of the most rapidly developing economic sectors in Malta. Labor shortages can slow down economic growth, if not addressed. The annual number of ICT graduates is insufficient. For this sector to continue to thrive and further consolidate itself within the Maltese economy, there will be a continued dependency on the importation of highly skilled foreign labor.

I construct a set of dynamic macroeconomic models to analyze the effect of unskilled immigration on wage inequality. The immigrants or their descendants do not remain unskilled – over time they may approach or exceed the general level of educational attainment. In the baseline model, the economy's capital supply is determined endogenously by the savings behavior of infinite-lived dynasties, and I also consider models in which the supply of capital is perfectly elastic, or exogenously determined. I derive a simple formula that determines the time discounted value of the skill premium enjoyed by college-educated workers following a change in the rate of immigration for unskilled workers, or a change in the degree or rate at which unskilled immigrants become skilled. I compare the calculations of the skill premiums to data from the US Current Population Survey to determine the long-run effect of different immigrant groups on wage inequality in the United States.