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 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.
Driver industries are those that play a key role in the economic vitality of a region by supplying quality, often high-paying jobs while also supporting job growth in other industries. These industries function as the primary engines for economic growth and stability because they export products and services and import vital dollars. Those dollars then circulate […]
North Dakota still dominates in terms of the percent of total jobs that can be explained by regional competitiveness. Texas is still No. 2. Nevada is still last. After that, our new analysis based on shift share diverts from our previous analysis.
Which metros are becoming more competitive (that is, gaining a larger share of total job creation) and which are losing their share of the jobs being created. We take a look using shift-share analysis.
For background and details on this infographic, check out our original post. Read more about EMSI data here and shift share here. Note: The percentage shown for each metro is the share of total 2012 jobs that are due to growing (or declining) competitiveness from 2010-2012.
We teamed up with our friends at Tableau Software to produce an interactive graphic that details individual industries that are driving states to be more (or less) competitive.
EMSI produced a side-by-side analysis of every state to see which states are becoming more competitive (that is, gaining a larger share of the total job creation), and which are losing their share of the jobs being created.
Shift share is a standard regional analysis method that attempts to determine how much of regional job growth can be attributed to national trends and how much is due to unique regional factors. Shift share helps answer why employment is growing or declining in a regional industry, cluster, or occupation.