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Integrating Labor Market Outcome Data

More and more colleges are looking at how well students do after they graduate. This is a great trend, but these data are hard to get and integrate. What have other colleges done and how has ZogoTech helped?

In general, ZogoTech has robust capabilities to pull in any data and do so on an automated, error-free manner.    The data are most useful if it is at the student level.  With the student ID / SSN / or other unique identifier you can slice the data in all sorts of ways:  demographics (gender, ethnicity, low-income), course performance, etc.

Here are the types of labor market data we are working with:

  1. Unemployment Insurance (UI) records from the state showing how much students were making before, during and after college as well as which industry they were working in.  This is the ideal in many ways.  Pros:  because it’s from the state there is a very high match rate and level of accuracy.  Cons: only one of our colleges has been able to get this level of data from their state.
  2. Employment verification data brokers. One of our colleges gets data from a company that does employment verification for most of the Fortune 500 companies.  Pros:  they can also get # hours worked / week.  You don’t have to beg the state for the data.  Cons:  Aggregated data (but you can specify the aggregations — e.g. by program).  The match rate is only ~20% and it’s not free (although this is probably still better than the cost and low accuracy of doing regular gainful employment surveys)
  3. Some states (e.g. Texas) publish how well students do aggregated by CIP code.  Pros:  free, high level of accuracy   Cons:  aggregated so you can’t see how well low-income students do for exmaple.   Also not all states publish this info (but maybe they should!)
  4. EMSI has a product (Alumni Outcomes) which pulls in information from a big resume database and LinkedIn to see where students are working after they graduate.  It then links that to BLS data to estimate how much money they might be making.  We’re starting on a project to bring in that data.  Pros: Student-level data.  Don’t have to go through the state  Cons:  Not sure how accurate the matching is.  If it depends on the student putting the college on the resume, then community college transfer students may get missed if they only put the university on the resume)

Other thoughts? What are other sources of labor market outcomes?