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Congressional Research Service
Informing the legislative debate since 1914


December  19, 2016


Introduction to U.S. Economy: Productivity


What is Productivity?
Productivity is broadly defined as the ratio of outputs to
inputs. With respect to the economy, productivity measures
how  efficiently goods and services can be produced,
comparing the amount of economic output with the amount
of inputs (labor, capital, etc.) used to produce those goods.

Productivity Measures
There are two prominent measures of economic
productivity: labor productivity (also known as output per
hour) and multifactor productivity (also known as total
factor productivity), both of which are produced by the
Bureau of Labor Statistics (BLS) in the United States.

Labor productivity is defined as the ratio of the real
(inflation-adjusted) value of output from the business sector
to the total number of hours worked, or real output per labor
hour, as shown below. Business sector output is defined as
gross domestic product excluding outputs from general
government, nonprofit institutions, paid employees of
private households, and rental value of owner-occupied
dwellings. BLS releases estimates of labor productivity
quarterly. BLS also produces a non-farm business labor
productivity measure, which further excludes output from
the farm sector. Growth in labor productivity can be
estimated by calculating the difference between growth in
real output and growth in hours worked.

                         Business sector real output
  Labor Productivity
       Labo Prouctiity  Total numbier of hours worked


Multifactor productivity (MFP) is an alternative measure of
productivity that compares real private business sector
output to the level of combined inputs (labor and capital)
used to produce goods and services. More specifically,
MFP  actually measures the portion of output that is
unexplained by the value of inputs, providing a sense of
how  efficiently firms are using and combining inputs in the
production process. BLS releases estimates of MFP
annually. BLS also produces a private non-farm business
measure of MFP, which further excludes output from the
farm sector.

MFP,  unlike labor productivity, differentiates among
workers with respect to educational attainment and work
experience. Therefore, changes in the composition of the
labor force that increase the efficiency of workers (e.g.,
increased work experience) would not be registered as an
increase in MFP but would be registered as an increase in
labor productivity.

Measurement Complications
When  attempting to measure productivity, a number of
complications arise with the measurement of both outputs


and inputs. Adjusting nominal output figures for inflation to
produce estimates of real output can be complicated. This is
especially true during periods of rapid technological
progress where the introduction of new products and
services and improvements in the quality of products and
services complicate measuring inflation. Depending on the
construction of the price index, estimates of real output may
understate or overstate actual real output.

Gaps in the data available to BLS also complicate the
measurement  of labor inputs. The primary source of labor
data only includes figures for total number of employees,
average weekly hours of production, and nonsupervisory
workers. BLS then has to estimate the number of hours
worked by non-production and supervisory workers.
Additionally, labor hour data for the self-employed and
unpaid family workers must be forecasted from Internal
Revenue  Service data that lags by about three years.

BLS  faces additional challenges when determining the
value of capital inputs for MFP. To calculate MFP, BLS
uses the total value of the services provided by productive
capital in the economy, rather than the amount of physical
capital. BLS uses a number of assumptions to first
determine the level of productive capital in the economy by
applying depreciation schedules to physical capital based
on its age. Then BLS must determine the value of the
services provided by that level of capital. Estimates of MFP
are likely less precise than estimates of labor productivity
due to the additional assumptions incorporated into
estimating MFP.

Importance of Productivity Growth
Policymakers are interested in productivity because
productivity growth is generally the most consequential
determinant of long-term economic growth and substantive
improvements  in individual living standards. As
productivity increases, society can produce more goods and
services with the same level of resources, which increases
incomes and access to goods and services, including
additional leisure time.

Policymakers also are interested because government
policies, institutions, and the regulatory environment can
impact productivity growth. For example, strong and
enforceable patent laws likely encourage companies to
invest more in research and development, as the laws
enable companies to profit from their new technologies and
products.

Sources of Productivity Growth
Growth  in output per hour of labor can be achieved through
three different sources: improvements in the quality of
workers (i.e., human capital), increases in the level of
physical capital, and technological progress.


https://crsreports.cong ress.gov

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