In the prosperous Houston economy, a blend of industries is driving new job opportunities for middle-skill workers. But, as EMSI helped identify in a recent report with JPMorgan Chase, two sectors stand above the rest: petrochemical manufacturing and commercial and industrial construction.
EMSI has been working with Chase in analyzing middle-skill labor market demand in nine metros, focusing on specific industries in each metro. The first of these reports, looking at the skills gap for New York City, was published in late October.
Analyst includes data beyond simple statistics on wages and job growth. Shift share allows you to dig deeper, as this video explains.
EMSI is introducing a shift-share model that helps economic development organizations explore competitive and non-competitive local industries. We’re hosting a webinar that will walk through the model on Oct. 9 at 2 p.m. EDT (11 a.m. PDT).
In this article, we will walk through the impacts of Boeing’s plant closure in Long Beach as well as some of the ways that workforce and economic developers can use data on their local economies to respond to—or even prevent—similar closures.
Accurate, timely, customizable data across the entire network of state and regional economic development organizations in Ohio. That is the chief benefit that Matt Waldo, Senior Manager of Research at JobsOhio, sees in Analyst.
In a new analysis with CareerBuilder, we used shift share — a standard economic analysis method in Analyst, EMSI’s labor market research tool — to tease out the number of new jobs from 2010 to 2013 in each of the 50 most populous metros that can be traced to regional factors as opposed to national trends.
Kansas State University’s Advanced Manufacturing Institute (AMI) helps Kansas businesses and communities innovate and grow — businesses and communities that are often in rural parts of the state. Because of this, AMI realized it needed to step back to help its clients understand their regional economies. This is why EMSI’s unsuppressed county-level data was a “no-brainer” for AMI.
This is a guest post from Karen Beard of TIP Strategies, an Austin, Texas-based economic development consulting firm. TIP has used EMSI data since 2007 for workforce- and economic-related components of projects. This piece walks through examples of the neat ways TIP visualizes EMSI employment data to answer key workforce-related questions.
The data-rich analysis of economic diversity in Appalachia and the rest of the United States was conducted by the Center for Regional Economic Competitiveness, an EMSI client, and the University of Illinois at Urbana-Champaign’s Regional Economics Applications Laboratory.