1 / 23

Quarterly Workforce Indicators: Case Studies and Examples

Quarterly Workforce Indicators: Case Studies and Examples. C2ER Training Workshop June 4, 2012 Erika McEntarfer LEHD Program US Census Bureau. In this section:. Apply knowledge about basic employment and wage concepts in QWI to specific questions you may encounter in your work

callie
Download Presentation

Quarterly Workforce Indicators: Case Studies and Examples

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Quarterly Workforce Indicators:Case Studies and Examples C2ER Training Workshop June 4, 2012 Erika McEntarfer LEHD Program US Census Bureau

  2. In this section: • Apply knowledge about basic employment and wage concepts in QWI to specific questions you may encounter in your work • Specifically: • Smoothing seasonal data • Calculating rates • Producing custom aggregates

  3. Smoothing seasonal indicators Hiring in California, 1993-2011: Not Seasonally Adjusted • QWI currently doesn’t generate a seasonally adjusted series. • Hard to see cyclical trends with all the seasonality. Source: Quarterly Workforce Indicators, US Census Bureau

  4. Seasonal adjustment: Options • Annualize the data • Easier for some indicators than others • Take rolling averages • Easy, but crude (available in QWI online) • Do your own seasonal adjustment • Best option • X12 (SAS, others) • Excel seasonal adjustment module

  5. Smoothing seasonal indicators Hiring in California, 1993-2011: Seasonally Adjusted • This series is adjusted using X12 in SAS. • Much easier now to see cyclical trends and graphs look much cleaner. Source: Quarterly Workforce Indicators, US Census Bureau

  6. Constructing rates • Separations, Accessions, Job Creation, etc. all very useful statistics, • but often more meaningful expressed as rates • Because there are several types of hires, separations, and employment indictors, it’s not always clear how to construct simple rates.

  7. Constructing an accession rate • Hires: several options • Hires • New Hires • Recalls • Stable Hires • Employment: several options • Beginning of Quarter Employment • End of Quarter Employment • Flow Employment • Stable Employment

  8. Constructing an accession rate Hiring and Employment in CA, Seasonally Adjusted Accessions (A): -- all hires in a quarter, regardless of length of employment spell Flow employment (M): -- all persons who had positive wages during the quarter, typically much larger than point in time employment estimates B & E employment: -- point in time estimates of employment at start and end of quarter. Accessions, particularly in small, high turnover firms, can exceed point in time employment -- so A/(B+E)*1/2 can be greater than 100% -- A/M is bounded by 100%

  9. Constructing a separation rate • What is true for accessions is also true for separations • While either choice is valid, using flow employment does benchmark better to other series such as JOLTS. Recommended Source: Authors calculations from the Quarterly Workforce Indicators, US Census Bureau

  10. Hiring vs. Job Creation • Often, we are interested in both hiring, job creation, and net job flows: • Hires: growth hires and replacement hires • Job Creation: growth hires only • Net job flows: Job Creation – Job Destruction, or net employment change

  11. Hiring vs. Job Creation Hiring and Expansionary Hiring in California, 1993-2011: Seasonally Adjusted Note: All Hires are more cyclical than expansionary hiring – employment churn is procyclical Can calculate the share of all hires that are replacement hires (A/JC). Note replacement hiring falls much more steeply in the Great Recession -- workers either not separating from jobs -- or employers leaving vacancies unfilled Source: Authors calculations from the Quarterly Workforce Indicators, US Census Bureau

  12. Exercise 1: Examine Hiring Patterns in California (10 minutes) • Calculate hires as a share of employment • Use both flow employment and average employment, why are they different? • Calculate the share of hires in CA that are expansionary

  13. Exercise 1: Job hiring rate in California, 1993-2011: Seasonally Adjusted

  14. Exercise 1: Share of Hires in California that are Expansions in Firm Employment, 1993-2011: Seasonally Adjusted

  15. Exercise 2: Comparing Separation Rates Within a sector (10 minutes) • Health Care is often thought of as a high turnover sector, but there’s quite a bit of heterogeneity in turnover within health care • Calculate worker separation rates using your preferred measure for: • Ambulatory Health Care (Physicians offices, clinics) • Hospitals • Nursing Facilities

  16. Exercise 2: Comparing Separation Rates Within a sector

  17. Creating custom aggregations • QWI are available by: • Worker age, education, gender, race • Detailed Industry • Detailed Geography • But often want to create custom aggregations of available categories • Older workers • Industry Clusters • Etc.

  18. Be careful when aggregating • Employment and net job flows fairly straight-forward • Simply aggregate them across categories • However: • Because of noise infusion and suppressions, be cautious when aggregating small cells • Always use tabulated aggregation if available • Earnings and nonemployment more complicated • Should compute weighted averages using the appropriate employment number (stable for stable wages, etc)

  19. Job Creation and Destruction:Most Common Aggregation Error • Note that for categories like age and sex, the published net job flows for the subcategories will sum to the margin • But for gross Job Creation and gross Job Destruction this is not true • (Job Creation for men) + (Job Creation for women) does not equal (total Job Creation) • For example, a job could be created at a firm and filled by a woman, while another job at the same firm is destroyed, previously filled by a man

  20. Exercise 3: Younger Workers (10 minutes) • Graph the share of workers under 25 in California over the time series. • Calculate and graph growth trends in average nominal earnings for workers under 25 in California, relative to those for all workers in California.

  21. Exercise 3: Younger Workers Workers under 25 as a share of the California workforce, 1993-2011: Not Seasonally Adjusted Great Recession impacted share of young workers in market quite severely, is at almost 20 year low.

  22. Exercise 3: Younger Workers Growth Average Nominal Monthly Wages, Workers < 25, California workforce, 1993-2011: Not Seasonally Adjusted (1993:1=1) Around 2007, wage growth for young workers stalls out, even falls

  23. To sum up • While many QWI indicators can be used as is, frequently they require manipulation to produce the information needed • These exercises show how to: • Handle seasonality • Construct rates • Create custom aggregates

More Related