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Based on representative longitudinal data (CNEF 1980–2013) the paper analyzes gender differences of the level and the determinants of earnings dynamics in the work life of different cohorts of employees in Germany, Great Britain, and the United States. Notwithstanding country differences concerning the existing welfare state regime constituting the institutional settings of the labor market, the educational system, and family role models, the empirical results show decreasing earnings mobility in the work history. The earnings level, educational attainment, family size, the occupational choice, the career stage, the birth cohort, and the macroeconomic fluctuations significantly influence earnings mobility. In the United States, earnings mobility is significantly lower and gender differences are less pronounced than in Germany and Great Britain. The gender gap of earnings mobility is less expressed for younger cohorts of German employees. The increase of the gender gap of earnings dynamics in the course of the work career indicates continuing heterogeneity of labor market behavior and outcome of women and men which contribute to persistent economic and social stratification.

This chapter’s goal is to determine the essence and causal connections of the emergence of conflicts at the level of economic systems (countries) due to technological inequality and to find the perspectives of overcoming these conflicts. The chapter models the economic and political conflict of modern time under the conditions of high-tech development based on the methods of variation analysis and regression analysis. It is proven that the scale of technological inequality in the world economy is very large. It is the economic and political conflict of modern time, the essence of which is as follows: the differentiation of economic systems amid digital development predetermines the opportunities for their entering the world markets. This chapter contributes to the development of the theory of economic and political conflicts, proving the existence of technological inequality as a new form of differentiation of economic systems amid digital development and defining this inequality as a new economic and political conflict of modern time. The chapter also contributes to the development of the theory of international trade, disproving – for the first time – the action of the principle of freedom of international trade. The authors describe technological barriers of the world markets, which limit the presence of countries that are behind the leading countries by digital development. Three key factors that determine the level of technological development of the economy are given: knowledge-intensive employment, venture investments and financing of innovations in business. Due to the above, the chapter provides opportunities for technological conflict management.

The ability to produce knowledge is the key currency in the current and future global economy. Today, technology is one of the important sources of economic growth. The impact of introduction of technology is observed in every field and one such field is knowledge economy. This paper explores the potential consequences of technological transition in the knowledge economy brought about by the introduction of virtual system backed by Internet and software innovations, so to speak in terms of skill augmentation, wage inequality, and so forth, to highlight the overall impact on welfare. In this framework, this paper develops a model on small open economy with three sectors (modern export sector, import competing sector, and skill-generating sector) and three factors of production namely, skilled labor (the output of S), unskilled labor, and capital. It is found that the impact of technological transition on each sector is ambiguous but the direction of welfare change is unambiguous. In this study, our objective is to find out the possible impacts of such disruptive technology on the higher education sector of India and also to locate the development dynamics of such an outcome along with a feasible roadmap for overcoming the trade-off between future economic growths of a sound knowledge economy with social justice.

Economy consists of several economic activities like production, consumption, distribution etc. Nowadays, a new concept of knowledge economy has been introduced. A knowledge economy is an economy in which the production of goods and services is based primarily upon knowledge-intensive activities. At this phase, development has two aspects – quantitative and qualitative aspects. In qualitative aspects, concept of human development index (HDI) is included. HDI has been constructed on the basis of education index (EI), health index, and standard of living index. This education implies research and development. New growth theories emphasize the potential for human capital and increase knowledge to provide new sources of economic growth and high levels of productivity. Knowledge is a familiarity, awareness, or understanding of someone or something, such as facts, information, descriptions, or skills, which is acquired through experience or education by perceiving, discovering, or learning.

In this paper, the HDI and EI of the South Asian Association for Regional Cooperation (SAARC) countries, in particular India, are taken into consideration. To study the knowledge economy as well as human capital, Intellectual Property Rights (IPRs) is used. On the other hand, for analyzing the development of any sector of the economy, the role of FDI is important. Whether the role of FDI is still there in transition to knowledge economy or not, relationship between FDI confidence index and EI is taken into consideration. Data are used from the United Nations Conference on Trade and Development (UNCTAD), the United Nations Development Programme (UNDP), World Investment Report, AT Kearney etc.

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.

In this chapter, I review recent evidence on the developmental origins of health inequality. I discuss the origins of the education-health gradient, the long-term costs caused by early life adversity, and how early life experiences affect the biology of the body. Additionally, I provide complementary evidence on enrichment interventions which can at least partially compensate for these gaps. I highlight emerging lines of scientific inquiry which are likely to have a significant impact on the field. I argue that, while the evidence that early life conditions have long-term effects is now uncontroversial, the literature needs to be expanded both in a theoretical and empirical direction. On the one hand, a model linking early life origins to ageing needs to be developed; on the other hand, a better understanding of the mechanisms – both biological and socioeconomic – is required, in order to design more effective interventions.

This paper seeks to connect changes in the structure of wages at the occupation level to measures of the task content of jobs. We first present a simple model where skills are used to produce tasks, and changes in task prices are the underlying source of change in occupational wages. Using Current Population Survey (CPS) wage data and task measures from the O*NET, we document large changes in both the within and between dimensions of occupational wages over time, and find that these changes are well explained by changes in task prices likely induced by technological change and offshoring.

Findings in the literature indicate leading financial analysts attract high levels of market attention and provide more accurate earnings forecasts prior to becoming all-star analysts. Furthermore, these analysts significantly impact the investment decisions of other market participants and thus the market price of assets. Therefore, this study examines the information role of leading financial analysts and identifies two significant conclusions. First, the positive outcomes of these analyst leaders are more informative and attract more followers. Second, informational herding by followers of these analysts is not as naïve as suggested in previous studies, as followers who smartly use information from analyst leaders tend to perform better. We also find that analysts who practice smart learning by studying and selectively employing analyst-leader decisions achieve better career outcomes.

Air pollution affects labour productivity and these effects arise in both indoor and outdoor environments and at varying levels of worker skill. They also arise at levels of air pollution generally considered to be within existing air quality standards and guidelines. Although the damage per individual is small when compared to more extreme events, such as mortality and hospitalisations, the effects are more widespread and may thus represent a significant cost to society. Labour is an essential element in every nation’s economy serving as one of the primary factors of production and India not an exception. Investing in human capital is viewed as a key source of sustained increase in labour productivity and economic growth. On the other hand, environmental regulations are typically considered to be a struggle on the economy. However, improved environmental quality may actually enhance productivity by creating a healthier workforce. At the same time, air pollution may affect labour productivity and can reduce the productivity of workers in physically demanding occupations. This chapter may be an attempt to provide comprehensive estimates of the major air pollutants in different states of India and also tries to identify the linkage between air pollution and labour productivity in case of Indian manufacturing sector.

The changes in women’s and men’s work lives have been considerable in recent decades. Yet much of the recent research on gender differences in employment and earnings has been of a more snapshot nature rather than taking a longer comparative look at evolving patterns. In this paper, we use 50 years (1964–2013) of US Census Annual Demographic Files (March Current Population Survey) to track the changing returns to human capital (measured as both educational attainment and potential work experience), estimating comparable earnings equations by gender at each point in time. We consider the effects of sample selection over time for both women and men and show the rising effect of selection for women in recent years. Returns to education diverge for women and men over this period in the selection-adjusted results but converge in the OLS results, while returns to potential experience converge in both sets of results. We also create annual calculations of synthetic lifetime labor force participation, hours, and earnings that indicate convergence by gender in worklife patterns, but less convergence in recent years in lifetime earnings. Thus, while some convergence has indeed occurred, the underlying mechanisms causing convergence differ for women and men, reflecting continued fundamental differences in women’s and men’s life experiences.