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130 Monthly Lab. Rev. 3 (2007)
Business Employment Dynamics Data: Survival and Longevity, II

handle is hein.journals/month130 and id is 843 raw text is: I9\'/UUU~JU~L~A'/uUwu'JuLJ~)

Business Employment Dynamics data:
survival and longevity, II
A study that extends previous research on the longevity
of businesses shows that survival decreases at a decreasing rate;
establishments that manage to survive the crucial 4-year
period after their birth have a better chance of surviving longer
and experiencing employment growth

Amy E. Knaup
and
Merissa C. Piazza

Amy E. Knaup is
a Ph.D. candidate
in economics at
the University of
Maryland, College
Park, Maryland;
Merissa C. Piazza is
an economist in the
Office of Employment
and Unemployment
Statistics, Bureau of
Labor Statistics. E-mail:
piazza.merissa@bls.
gov

T       his study is an extension of a research
summary published in the Review in
2005.1 That piece examined survival
rates from a cohort of establishments from
the Bureau of Labor Statistics (BLS) Quar-
terly Census of Employment and Wages
(QCEW) program over a 4-year period. The
study presented here extends the previous
cohort an additional 3 years to create a 7-
year survival analysis.
Data sources
The QCEW program contains information
on 8.9 million U.S. business establishments
in both the public and private sector. These
monthly business establishment data are com-
piled on a quarterly basis for State unemploy-
ment insurance tax purposes and are edited
and submitted to the BLS. A Federal-State
cooperative venture between the BLS and the
State Workforce Agencies, the QCEW pro-
gram collects information covering approxi-
mately 98 percent of nonfarm payroll employ-
ment in the United States. Data generated by
the program serve as the sampling frame for
a range of BLS establishment surveys and as a
benchmark for the Current Employment Sta-
tistics survey. Outside researchers use QCEW
microdata to investigate topics in the field of
labor economics, and such data are the largest
single input to the Bureau of Economic Anal-

ysis personal income accounting program.
QCEW program data also are used to generate
gross job flows in the Business Employment
Dynamics (BED) data series.
To construct the BLS longitudinal data-
base, analysts link the data across quarters,
using unique identifiers to track establish-
ments, even when their ownership changes.
The QCEW    program   has linked data from
the first quarter of 1990 through the most
current quarter; the data usually are avail-
able 7 months after the end of the reference
quarter. The coverage and frequency of the
data are unique in the Federal statistical
system in that they allow tracking of the
startup, growth, and failure of a particular.
establishment concurrently with the timing
of those events. The program contains estab-
lishment-level data (that is, data relating to a
specific location). Therefore, one can observe
various characteristics of each establishment,
such as the State, county, and industry in
which it operates; its age, predecessors, and
successors; its total quarterly wages; and its
monthly employment.
The BED data series takes advantage of
the QCEW microdata by calculating gross
job flows. BED data reveal the level of em-
ployment changes each quarter due to open-
ings, closings, expansions, and contractions
of businesses. These four categories illus-
trate the vast number of business and em-

Monthly Labor Review - September 2007 3

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