Business Employment Dynamics Technical Note


                                                                 
Technical Note

   
   The Business Employment Dynamics (BED) data are a product of a federal-
state cooperative program known as Quarterly Census of Employment and Wages
(QCEW), or the ES-202 program.  The BED data are compiled by the U.S.
Bureau of Labor Statistics (BLS) from existing quarterly state unemployment
insurance (UI) records.  Most employers in the U.S. are required to file
quarterly reports on the employment and wages of workers covered by UI
laws, and to pay quarterly UI taxes.  The quarterly UI reports are sent by
the State Workforce Agencies (SWAs) to BLS and form the basis of the BLS 
establishment universe sampling frame.  These reports also are used to pro-
duce the quarterly QCEW data on total employment and wages and the longitu-
dinal BED data on gross job gains and losses.  Other important BLS uses 
of the UI reports are in the Current Employment Statistics (CES) program. 
(See table below for differences between QCEW, CES, and BED.)
                                     
   In the BED program, the quarterly UI records are linked across quarters
to provide a longitudinal history for each establishment.  The linkage
process allows the tracking of net employment changes at the establishment
level, which in turn allows the estimation of jobs gained at opening and
expanding establishments and jobs lost at closing and contracting establish-
ments.

Differences between QCEW, BED, and CES employment measures

   The BLS publishes three different establishment-based employment mea-
sures for any given quarter.  Each of these measures--QCEW, BED, and CES--
makes use of the quarterly UI employment reports in producing data; how-
ever, each measure has a somewhat different universe coverage, estimation 
procedure, and publication product.

   Differences in coverage and estimation methods can result in somewhat 
different measures of over-the-quarter employment change.  It is important to 
understand program differences and the intended uses of the program products.  
(See table below.)  Additional information on each program can be obtained 
from the program Web sites shown in the table.

				                                  
Summary of Major Differences between QCEW, BED, and CES Employment Measures
---------------------------------------------------------------------------------
           |         QCEW        |         BED          |         CES
-----------|---------------------|----------------------|------------------------
Source     |--Count of UI admini-|--Count of longitudi- |--Sample survey: 
           |  strative records   |  nally-linked UI ad- |  400,000 establish-
           |  submitted by 9.1   |  ministrative records|  ments
           |  million employers  |  submitted by 7.1    |
           |                     |  million private sec-|
           |                     |  tor employers       |
-----------|---------------------|----------------------|------------------------
Coverage   |--UI and UCFE cover- |--UI Coverage, exclud-|Nonfarm wage and sal-
           |  age:  all employers|  ing government, pri-|  ary jobs:
           |  subject to state   |  vate households, and|--UI Coverage, exclud-
           |  and federal UI Laws|  establishments with |  ing agriculture, pri-
           |                     |  zero employment     |  vate households, and
           |                     |                      |  self-employed workers
           |                     |                      |--Other employment, in-
           |                     |                      |  cluding railroads, 
           |                     |                      |  religious organiza-
           |                     |                      |  tions, and other non-
           |                     |                      |  UI-covered jobs
-----------|---------------------|----------------------|------------------------
Publication|--Quarterly          |--Quarterly           |--Monthly 
frequency  |  -7 months after the|  -8 months after the |  -Usually first Friday
           |   end of each quar- |   end of each quarter|   of following month
           |   ter               |                      |
-----------|---------------------|----------------------|------------------------
Use of UI  |--Directly summarizes|--Links each new UI   |--Uses UI file as a sam-
file       |  and publishes each |  quarter to longitu- |  pling frame and annu-
           |  new quarter of UI  |  dinal database and  |  ally realigns (bench-
           |  data               |  directly summarizes |  marks) sample esti-    
           |                     |  gross job gains and |  mates to first quar-  
           |                     |  losses              |  ter UI levels
-----------|---------------------|----------------------|------------------------
Principal  |--Provides a quarter-|--Provides quarterly  |--Provides current month-
products   |  ly and annual uni- |  employer dynamics   |  ly estimates of employ-
           |  verse count of es- |  data on establish-  |  ment, hours, and earn-
           |  tablishments, em-  |  ment openings, clos-|  ings at the MSA, state,
           |  ployment, and wages|  ings, expansions,   |  and national level by
           |  at the county, MSA,|  and contractions at |  industry
           |  state, and national|  the national level  |
           |  levels by detailed |  by NAICS super-     |
           |  industry           |  sectors and by size |
           |                     |  of firm, and at the |   
           |                     |  state private-sector|
           |                     |  total level         | 
           |                     |--Future expansions   |
           |                     |  will include data   |
           |                     |  with greater in-    |
           |                     |  dustry detail and   |
           |                     |  data at the county  |
           |                     |  and MSA level       |
-----------|---------------------|----------------------|------------------------
Principal  |--Major uses include:|--Major uses include: |--Major uses include:
uses       |  -Detailed locality |  -Business cycle     |  -Principal national
           |   data              |   analysis           |   economic indicator
           |  -Periodic universe |  -Analysis of employ-|  -Official time series 
           |   counts for bench- |   er dynamics under- |   for employment change
           |   marking sample    |   lying economic ex- |   measures
           |   survey estimates  |   pansions and con-  |  -Input into other ma-
           |  -Sample frame for  |   tractions          |   jor economic indi-
           |   BLS establishment |  -Analysis of employ-|   cators
           |   surveys           |   ment expansion and |
           |                     |   contraction by size|   
           |                     |   of firm            |
           |                     |                      |
-----------|---------------------|----------------------|------------------------
Program    |--www.bls.gov/cew/   |--www.bls.gov/bdm/    |--www.bls.gov/ces/
Web sites  |                     |                      |
---------------------------------------------------------------------------------
                               
                           
Coverage                           

   Employment and wage data for workers covered by state UI and Unemployment 
Compensation for Federal Employees (UCFE) laws are compiled from quarterly 
contribution reports submitted to the SWAs by employers.  In addition to the 
quarterly contribution reports, employers who operate multiple establishments 
within a state complete a questionnaire, called the "Multiple Worksite Report,"
which provides detailed information on the location of their establishments. 
These reports are based on place of employment rather than place of residence. 
UI and UCFE coverage is broad and basically comparable from state to state.
   
   Major exclusions from UI coverage are self-employed workers, religious or-
ganizations, most agricultural workers on small farms, all members of the 
Armed Forces, elected officials in most states, most employees of railroads, 
some domestic workers, most student workers at schools, and employees of cer-
tain small nonprofit organizations.
   
   Gross job gains and gross job losses in this release are derived from lon-
gitudinal histories of over 7.1 million private sector employer reports out 
of 9.1 million total reports of employment and wages submitted by states to 
BLS in the third quarter of 2007.  Gross job gains and gross job losses data 
in this release do not report estimates for government employees or private 
households (NAICS 814110) and do not include establishments with zero employ-
ment in both previous and current quarters.  Data from Puerto Rico and the 
Virgin Islands also are excluded from the national data.  As an illustration, 
the table below shows, in millions of establishments, the number of establish-
ments excluded from the gross job gains and gross job losses data in the third 
quarter of 2007:


             Number of active establishments included in 
              Business Employment Dynamics data at the
                          national level

                                                                   Millions
                                                                       
Total establishments QCEW program....................................9.1

    Excluded:  Public sector.........................................0.3 
               Private households....................................0.6
               Zero employment.......................................1.0      
               Establishments in Puerto Rico 
                 and the Virgin Islands..............................0.1 
         
Total establishments included in Business
Employment Dynamics data.............................................7.1

Unit of analysis
   
   Establishments are used in the tabulation of the BED statistics by in-
dustry and firms are used in the tabulation of the BED size class sta-
tistics.  An establishment is defined as an economic unit that produces
goods or services, usually at a single physical location, and engages in
one or predominantly one activity.  A firm is a legal business, either
corporate or otherwise, and may consist of several establishments.  Firm-
level data are compiled based on an aggregation of establishments under
common ownership by a corporate parent using employer tax identification
numbers.  The firm-level aggregation, which is consistent with the role of
corporations as the economic decision makers, is used for the measurement
of the BED data elements by size class.
   
   Because of the difference in the unit of analysis, total gross job gains
and gross job losses by size class are lower than total gross job gains and
gross job losses by industry, as some establishment gains and losses within
a firm are offset during the aggregation process.  However, the total net
changes in employment are the same for not seasonally adjusted data and are
similar for seasonally adjusted data.
                                 
Concepts and methodology

   The Business Employment Dynamics data measure the net change in employ-
ment at the establishment or firm level.  These changes come about in one 
of four ways.  A net increase in employment can come from either opening 
units or expanding units.  A net decrease in employment can come from either 
closing units or contracting units.  Gross job gains include the sum of all
jobs added at either opening or expanding units.  Gross job losses include
the sum of all jobs lost in either closing or contracting units.  The net
change in employment is the difference between gross job gains and gross
job losses.
   
   The formal definitions of employment changes are as follows:                          

   Openings.  These are either units with positive third-month employment for
the first time in the current quarter, with no links to the prior quarter, or
with positive third-month employment in the current quarter, following zero em-
ployment in the previous quarter.
                                     
   Expansions.  These are units with positive employment in the third month
in both the previous and current quarters, with a net increase in employment
over this period.
   
   Closings.  These are units with positive third-month employment in the pre-
vious quarter, with no employment or zero employment reported in the current
quarter.
   
   Contractions.  These are units with positive employment in the third month
in both the previous and current quarters, with a net decrease in employment
over this period.

   All establishment-level employment changes are measured from the third 
month of each quarter.  Not all establishments and firms change their em-
ployment levels.  Units with no change in employment count towards estimates
of total employment, but not for levels of gross employment job gains and 
gross job losses.

   Gross job gains and gross job losses are expressed as rates by dividing 
their levels by the average of employment in the current and previous quar-
ters.  This provides a symmetric growth rate.  The rates are calculated for
the components of gross job gains and gross job losses and then summed to
form their respective totals.  These rates can be added and subtracted just
as their levels can.  For instance, the difference between the gross job
gains rate and the gross job losses rate is the net growth rate.

Linkage methodology

   Prior to the measurement of gross job gains and gross job losses, QCEW
records are linked across two quarters.  The linkage process matches esta-
blishments' unique SWA identification numbers (SWA-ID).  Between 95 to 97
percent of establishments identified as continuous from quarter to quarter
are matched by SWA-ID.  The rest are linked in one of three ways.  The first
method uses predecessor and successor information, identified by the states,
which relates records with different SWA-IDs across quarters.  Predecessor
and successor relations can come about for a variety of reasons, including
a change in ownership, a firm restructuring, or a UI account restructuring.
If a match cannot be attained in this manner, a probability-based match is
used.  This match attempts to identify two establishments with different SWA-
IDs as continuous.  The match is based upon comparisons such as the same
name, address, and phone number.  Third, an analyst examines unmatched re-
cords individually and makes a possible match.

   In order to ensure the highest possible quality of data, SWAs verify with 
employers and update, if necessary, the industry, location, and ownership 
classification of all establishments on a 3-year cycle.  Changes in establish-
ment classification codes resulting from the verification process are intro-
duced with the data reported for the first quarter of the year.  Changes re-
sulting from improved employer reporting also are introduced in the first 
quarter.   
                              
Sizing methodology
   
   The method of dynamic sizing is used in calculations for the BED size-
class data series.  Dynamic sizing allocates each firm's employment gain or
loss during a quarter to each respective size class in which the change
occurred.  For example, if a firm grew from 2 employees in quarter 1 to 38
employees in quarter 2, then, of the 36-employee increase, 2 would be al-
located to the first size class, 5 to the size class 5 to 9, 10 to size
class 10 to 19, and 19 to size class 20 to 49.
   
   Dynamic sizing provides symmetrical firm-size estimates and eliminates
any systematic effects which may be caused by the transitory and reverting
changes in firms' sizes over time.  Additionally, it allocates each job
gain or loss to the actual size class where it occurred.

Seasonal adjustment

   Over the course of a year, the levels of employment and the associated
job flows undergo sharp fluctuations due to such seasonal events as changes
in the weather, reduced or expanded production, harvests, major holidays,
and the opening and closing of schools.  The effect of such seasonal vari-
ation can be very large.

   Because these seasonal events follow a more or less regular pattern each 
year, their influence can be eliminated by adjusting these statistics from 
quarter to quarter.  These adjustments make nonseasonal developments, such as 
declines in economic activity, easier to recognize.  For example, the large 
number of youths taking summer jobs is likely to obscure other changes that 
have taken place in June relative to March, making it difficult to determine 
if the level of economic activity has risen or declined.  However, because
the effect of students finishing school in previous years is known, the 
statistics for the current year can be adjusted to allow for a comparable 
change.  The adjusted figures provide a more useful tool with which to ana-
lyze changes in economic activity.

   The employment data series for opening, expanding, closing, and contract-
ing units are independently seasonally adjusted; net changes are calculated
based on the difference between gross job gains and gross job losses.  Simi-
larly, for industry data, the establishment counts data series for opening,
expanding, closing, and contracting establishments are independently adjusted,
and the net changes are calculated based on the difference between the number
of opening and closing establishments.  Additionally, establishment and em-
ployment levels are independently seasonally adjusted to calculate the sea-
sonally adjusted rates.  Concurrent seasonal adjustment is run using X-12
ARIMA.  Seasonally adjusted data series for the total private sector are cal-
culated by summing the seasonally adjusted data for all sectors, including
the unclassified sector, which is not published separately.
   
   The employment data series for opening, expanding, closing, and contracting 
units for each of the 50 states and the District of Columbia are seasonally
adjusted at the total private level only.  The sum of the state series for
opening, expanding, closing, and contracting units will not necessarily be
equal to the national total private series because of the independent seasonal
adjustment of these series.
   
   The net over-the-quarter change derived by summing the BED component series 
will differ from the net employment change estimated from the seasonally ad-
justed total private employment series from the CES program.  The intended use 
of BED statistics is to show the dynamic labor market changes that underlie 
the net employment change statistic.  As such, data users interested particu-
larly in the net employment change and not in the gross job flows underlying 
this change should refer to CES data for over-the-quarter net employment
changes.
   
Reliability of the data
   
   Since the data series on Business Employment Dynamics are based on admini-
strative rather than sample data, there are no issues related to sampling 
error.  Nonsampling error, however, still exists.  Nonsampling errors can oc-
cur for many reasons, such as the employer submitting corrected employment 
data after the end of the quarter or typographical errors made by businesses 
when providing information.  Such errors, however, are likely to be distri-
buted randomly throughout the dataset.
   
   Changes in administrative data sometimes create complications for the 
linkage process.  This can result in overstating openings and closings while 
understating expansions and contractions.  The BLS continues to refine methods 
for improving the linkage process to alleviate the effects of these compli-
cations.
   
   The BED data series are subject to periodic minor changes based on correc-
tions in QCEW records, updates on predecessors and successors information, and
seasonal adjustment revisions.
                      
Additional statistics and other information
   
   Several other programs within BLS produce closely related information.  
The QCEW program, also known as the ES-202 program, provides both quarterly 
and annual estimates of employment by state, county, and detailed industry. 
News releases on quarterly county employment and wages are available upon 
request from the Division of Administrative Statistics and Labor Turnover, 
Bureau of Labor Statistics, U.S. Department of Labor, Washington, DC 20212; 
telephone 202-691-6567; (http://www.bls.gov/cew/); (e-mail: QCEWInfo@bls.gov).
                                     
   The CES program produces monthly estimates of employment, its net change, 
and earnings by detailed industry.  These estimates are part of the Employ-
ment Situation report put out monthly by BLS.
                                     
   The Job Openings and Labor Turnover Survey (JOLTS) program provides month-
ly measures of job openings, as well as employee hires and separations.

   Information in this release will be made available to sensory impaired in-
dividuals upon request.  Voice phone:  202-691-5200; TDD message referral 
number: 1-800-877-8339.





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Last Modified Date: August 12, 2008