Workers' Views of the Impact of Trade on Jobs

This article uses new data to examine how workers' perceptions of the impact of trade on jobs like theirs are related to economic variables representing their career paths, job characteristics, and local labor market conditions. We find that only 17 percent of workers think trade creates jobs. And even fewer workers (4–7 percent) in any industry think trade has created better jobs. We find that workers' perceptions do not reflect their job characteristics or the movability of their jobs. Their perceptions of trade primarily reflect local labor market conditions (hiring and separation rates) and education. The determinants of workers' perceptions of trade present a different pattern compared with their perceptions of job security.     

A search theoretic model of productivity, science and innovation

Building on macroeconomic research on technology searches in response to diminishing technological opportunities, we develop an industry-level search theoretic model of productivity, knowledge sources, and innovation. We argue that increasing the use of science in technology development increases the novelty of ideas in the innovation search distribution and thus increases the likelihood of finding productivity improvements. We also propose that this relationship will hold outside the traditional science-based industries (pharmaceuticals, chemicals), and that there is no similar relationship between productivity and non-science patents. Random effect analyses of 32 US manufacturing industries during 1985–1997 support these hypotheses.     

An investigation of skill requirements for business and data analytics positions: A content analysis of job advertisements

Presently, analytics degree programs exhibit a growing trend to meet a strong market demand. To explore the skill sets required for analytics positions, the authors examined a sample of online job postings related to professions such as business analyst (BA), business intelligence analyst (BIA), data analyst (DA), and data scientist (DS) using content analysis. They present a ranked list of relevant skills belonging to specific skills categories for the studied positions. Also, they conducted a pairwise comparison between DA and DS as well as BA and BIA. Overall, the authors observed that decision making, organization, communication, and structured data management are key to all job categories. The analysis shows that technical skills like statistics and programming skills are in most demand for DAs. The analysis is useful for creating clear definitions with respect to required skills for job categories in the business and data analytics domain and for designing course curricula for this domain.     

Vested Interests and the Common People in Developing Countries: Understanding Oppressive Societies and Their Effects

The standard economic model of how economies work is that activities are essentially productive. This is not a correct view of reality. The principal difficulty is that there is economic activity that is unproductive and harmful (from the point of view of those being harmed). This is a central feature of the economic organization of these societies, and creates poverty. The first section of the article discusses the concept of harm. The second section describes how societies are run on this basic set of principles: Take and maintain control of the government and other aspects of society, and use the power of government to obtain income. The third section of the article describes how this system harms the common people. Topics include corruption, misappropriation of natural resources, conflict and other harm engendered by the struggle for control, the influence on present society of the past operation of harmful economic systems, and discrimination as well as other “barriers to entry.”