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Longitudinal employer household dynamics - Paul Overberg
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Longitudinal employer household dynamics - Paul Overberg

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Paul Overberg presents "Analyzing Longitudinal Employer-Household Dynamics Data" during a Reynolds Center workshop, "Mining the Census for Local Business Stories." …

Paul Overberg presents "Analyzing Longitudinal Employer-Household Dynamics Data" during a Reynolds Center workshop, "Mining the Census for Local Business Stories."

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  • Lots of good training material: http://lehd.did.census.gov/led/library/training.html http://lehd.did.census.gov/led/library/workshops.html#2010
  • Location quotient analysis is a basic way to look at the strengths and weaknesses of local industries: http://pubs.cas.psu.edu/freepubs/pdfs/ua377.pdf   http://mailer.fsu.edu/~tchapin/garnet-tchapin/urp5261/topics/econbase/lq.htm   Shift-share analysis breaks down whether trends in local employment are rooted in national changes, the local economic mix and finally, the competitive power of local employers. http://pubs.cas.psu.edu/freepubs/pdfs/ua378.pdf
  • To protect privacy, Census Bureau creates a synthetic data set that mirrors actual workers’ data: Details: http://lehd.did.census.gov/led/datatools/onthemap.php?name=ConfidentialityProtection Massachusetts just joined the partnership in fall 2010. Its data should begin appearing in 2011.
  • Transcript

    • 1. Steve Doig, Arizona State Paul Overberg, USA TODAY Philadelphia Jan. 31, 2011 LEHD : A V ery L ocal L ook at W ho W orks W here
    • 2.
      • LEHD = Longitudinal Employer-Household Dynamics
      • Data from employer UI filings
      • Pooled state data, Census processing
      • Labor Dept. funding (ETA, EDA)
      Where it comes from
    • 3.
      • Quarterly filing: Worker name, age, gender, industry, earnings
      • Census block of worker’s home, work establishment
      • Trackable worker ID
      What data goes in
    • 4. What data goes in
    • 5. What data comes out
      • Dynamics: quits, hires, layoffs
      • Cross-tabs by age, industry, earnings
      • Commuting flows
      • Location quotient analysis
      • Shift-share analysis
    • 6. What can be studied
      • Workforce aging, turnover rates
      • Clusters: downtown, etc.
      • Glass ceiling
      • Transit needs
      • Competitive stance: Location quotient and shift-share
    • 7.
      • Quarterly Workforce Indicators
      • On the Map
      • Others: Hot Reports, Industry Focus
      Chief data products
    • 8.
      • Lags about a year
      • Synthetic data
      • Misses 5%: military, self-employed
      • Does not include Mass.*, N.H.
      Caveats and cautions
    • 9. QWI Online
    • 10. QWI Online
    • 11. QWI Online
    • 12.
      • Quarterly Workforce Indicators:
      • lehd.did.census.gov/led/datatools/qwiapp.html
      • On the Map: lehdmap.did.census.gov /
      Demonstration