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."

For more information, please visit businessjournalism.org.

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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