workforce

This report predicts the impact that the development of computers will have on the current workforce by 2030. In the coming decades, the processing speed and physical functionality of machines will increase, often eliminating the need for human function. It is predicted that 60 percent of the current workforce will be displaced by 2030.

This report, created with a partnership with the Vermont State Data Center, looks at the topic of brain drain in the Vermont. It combines migration and occupational data with polling research to show who is entering and leaving the state and for what reasons. Information is provided on what other states are doing to address the brain drain issue.

This audit reviews the Grow Iowa Values Fund (GIVF) in addition to several other funds used the the state to support employment growth. The report finds a discrepancy between the number of jobs promised and the number of jobs created.

This report examines service offshoring—the movement of service jobs overseas— and forecasts higher than average job losses in twenty-eight U.S. metropolitan areas between 2004 and 2015. Information technology jobs, and the metropolitan areas where they are concentrated, will be hardest hit.

The present paper uses unique survey data to examine three factors relevant to issues regarding raising employment rate, namely the desire to work, minimum acceptable wages and the distance the inactive are prepared to travel to work for a given minimum acceptable wage offer.

This report, written by the Center for the Study of Education Policy at Illinois State University, concentrates on why students are leaving the state, where Illinois students are moving, and what strategies can be employed to retain more students.

This study estimates a series of random parameter logit models of the college-to-work migration decisions of technology graduates and holders of doctorates within the United States. The study demonstrates the richness of the random parameters technique for behavioral-geographic analysis.

This report discusses coordinating state policies to increase postsecondary educational access and improve student success rates, to weave together education and workforce strategies with economic development strategies and the needs of employers, and to build the capacity of providers and postsecondary institutions to make these improvements.

The authors evaluate whether gender differences in the likelihood of obtaining a tenure track job, promotion to tenure, and promotion to full professor explain these facts using the 1973-2001 Survey of Doctorate Recipients. They find that women are less likely to take tenure track positions in science, but the gender gap is entirely explained by fertility decisions.