Emsi has developed a Health Risk Index to help us better understand where and why COVID-19 has spread, and to help policymakers create localized responses. The index features data on the social determinants of health, including 1) preconditioned population, 2) population density, 3) workplace interaction, and 4) population health.
The focus of this article is to highlight what constitutes a true impact study and what does not. Nobody wants to allocate millions of dollars to a project and then find out after the fact that the report they used to justify the investment was deeply flawed.
EMSI has developed a new index to help regions better understand employment skills gaps. This methodology is an attempt to provide a straightforward but comprehensive technique for sensing shortages of workers so that regional planners can respond where needed.
More and more, and certainly in light of the current recession, there is a need to apply up-to-date information on local, state, regional, and even national economies to training, curriculum, and skills development. So, in this brief paper we want to show how labor market information (or information on industries, occupations, and demographics) can be […]
Summary: This paper is meant as a practical guide to help workforce, education, economic development professionals (and any other sort of career counselor) understand green jobs and be able to offer solid advice to young people and jobseekers so they can get on the right track and in the context of the demands of the […]
Data spotlight: Using input-output analysis, economic base, and fiscal impact modeling to determine the best project Last month we considered regional investments that would create jobs (green or otherwise) on the basis of multiplier effects, long-term vs. short-term effects, and the relative cost per job created. To review this article, click here. This month we […]