1. 5/2/20151 Wyoming’s Labor Exchange (Wyoming at Work ) Utilization Analysis Presented to The Wyoming Workforce Development Council Cheyenne, WY 02/09/2011 Presented by William (Tony) Glover Wyoming Department of Employment Research & Planning william.glover@state.wy.us william.glover@state.wy.us

2. 5/2/20152 Executive Summary In 2009 13.9% of employers with New Hires hired at least 1 individual that browsed a job on W@W. 6.1% of all New Hires browsed/requested information on a job order placed by the employer that would hire them. Larger employers are more likely to have hired at least 1 New Hire that had browsed W@W Employers in the Public Administration and Educational Services industries are more likely to have hired at least 1 employee that browsed W@W but the Manufacturing industry has the highest percent of New Hires that browsed W@W.

3. 5/2/20153 This is what Wyoming at Work looks like to employers, job seekers, and other end users.

4. 5/2/20154 This is what Wyoming at Work looks like to Programmers and Analysts.

5. 5/2/20155 The Wyoming at Work Database has; 1,208 User Tables 41 System Tables 12,081 Distinct Column Names (Fields) 3,399 Stored Procedures (Pre-written programs) Of the 12,081 field names, many are used multiple times in different tables with different meanings. For example, username refers to the employers’ usernames in employer tables and username refers to the clients’ usernames in job seeker tables

6. 5/2/20156 Data Validation; Comparison of Active Job Orders to Average Quarterly Employment.

7. 5/2/20157 Tables used for this analysis from the Wyoming at Work database; joborders – Information pertaining to the job order posted for recruitment. emp – Information about the employers. ind – Information about the job seekers. joborderstracker – Records a transaction each time a jobseeker requests contact information on a job order. indjobsfolder – Records a transaction each time a job seeker browses a job order.

8. 5/2/20158 Tables used for this analysis from Research & Planning’s databases; wr_base – Contains a record for each individual employed in Wyoming by year, qtr, and employer. qcew – Contains a record for each employer paying wages in Wyoming by year and quarter. It also includes data that describes the employer such as industry, ownership, size, etc. lookup_tables – NAICS and SOC.

9. 5/2/20159 Linking Wyoming at Work to Research & Planning’s databases – part 1; Individuals - Both W@W and R&P’s administrative databases are SSN based. Therefore linking jobseekers from W@W to persons employed in R&P’s data was relatively easy. Employers – R&P’s qcew data captures employers’ unemployment insurance account number (UI), as well as, a Federal Employer Identification Number (FEIN). R&P’s wage data is captured at the UI level. W@W’s emp data captures FEIDs on 72% and UI on 47% of the employers records.

10. 5/2/201510 Linking Wyoming at Work to Research & Planning’s databases – part 2; R&P staff created a lookup table that crosswalks the employers username to a valid UI account number. The results are below.

11. 5/2/201511 The Nuts & Bolts, Pieces & Parts, etc extracted from Wyoming at Work Database. Data from the W@W database combined with the UI account lookup table were combined to create a table with the following data; SSN – Social Security Number UI – Employer UI Account First Browse Date – Date job order was requested or browsed Highest Browse Status – Request for contact info ranked higher than browse Number of Browses – Number of distinct dates on which the individual browsed or requested a job order.

12. 5/2/201512 The Nuts & Bolts extracted from Research & Planning’s Databases. Data from the R&P’s databases were combined to create a table with the following data; SSN – Social Security Number UI – Employer UI Account New Hire Quarter – First quarter that the SSN occurred with the UI account NAICS – Employer’s industry Size Class – Employer’s size class based on number of employees

13. 5/2/201513 The Working Table from combined W@W and Research & Planning’s Databases. SSNUIHIREDBROWSED QTRS RETAINED 999-99-999923A2007Q30 999-99-999992A2007Q42007Q38 999-99-999923B2008Q12 999-99-999923C2008Q30 999-99-999981C2008Q30 999-99-999921A2008Q31

14. 5/2/201514 The Working Table – Quarters in which the individual Browsed or Requested in W@W. SSNUIHIREDBROWSED QTRS RETAINED 999-99-999923A2007Q30 999-99-999992A2007Q42007Q38 999-99-999923B2008Q12 999-99-999923C2008Q30 999-99-999981C2008Q30 999-99-999921A2008Q31

15. 5/2/201515 The Working Table – Quarters in which the individual was a New Hire. SSNUIHIREDBROWSED QTRS RETAINED 999-99-999923A2007Q30 999-99-999992A2007Q42007Q38 999-99-999923B2008Q12 999-99-999923C2008Q30 999-99-999981C2008Q30 999-99-999921A2008Q31

16. 5/2/201516 The Working Table – New Hire event where the individual Browsed employer posting in W@W. SSNUIHIREDBROWSED QTRS RETAINED 999-99-999923A2007Q30 999-99-999992A2007Q42007Q38 999-99-999923B2008Q12 999-99-999923C2008Q30 999-99-999981C2008Q30 999-99-999921A2008Q31

17. 5/2/201517 Results – From 2007 to 2010 the percent of New Hires that Browsed a job on W@W runs 5.0 – 7.0 percent.

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23. 5/2/201523 Hypothetically: In the top right corner 100% of the employers would use W@W for 100% of their New Hires.

24. 5/2/201524 Future Research Suggestions Recall that the analysis is built from the SSN & UI Account level SSNUIHIREDBROWSED QTRS RETAINED 999-99-999923A2007Q30 999-99-999992A2007Q42007Q38 999-99-999923B2008Q12 999-99-999923C2008Q30 999-99-999981C2008Q30 999-99-999921A2008Q31

25. 5/2/201525 Future Research Suggestions What we know about the individuals Age and Gender Where they live & Where they work Attachment to Wyoming Attachment to an industry Attachment to an employer Stability or instability as an employee Work History, Employment Retention, Wage Progression Career Readiness Status, Unemployment Insurance & Workers Compensation Claims History and Status

26. 5/2/201526 Future Research Suggestions What we know about the employers Industry and Ownership Counties with Employment Employees attachment to the employer Stability of the employers employees Previous hiring and retention patterns Wage Competitiveness