Measuring Productivity
Tuition
$2,400
Participant profile
This seminar is designed for economists, statisticians,
researchers, analysts, and other professionals engaged in productivity measurement in national statistical programs.
Participants should have an elementary knowledge of statistics and some
experience in analyzing labor or economic data.
Objectives
To strengthen capabilities for the development and analysis of
statistics on productivity by:
- Presenting techniques for the compilation and application of
productivity measurements for individual industries, major sectors, and
the total economy
- Demonstrating the value of output per hour measurements in deriving
unit labor cost data for the analysis of the wage-price relationship by
industry, major sector, and for the total economy; in economic growth projections; in
labor mobility trends; and in workforce training
- Demonstrating the value of multifactor productivity as an indicator
of economic progress; an explanation of the growth of output per hour; and a way
to relate and analyze the movements of the price of output and the
prices of labor as well as other inputs
- Discussing concerns of government, business, and labor organizations
regarding productivity
Program content
Productivity is one of the major determinants of the standard of
living, since increases in productivity may result in higher real income
and promote price stability. The measurement of productivity is an
important element in the evaluation of the relative efficiency of factor
utilization domestically and internationally. The analysis of trends in
productivity, especially labor productivity, is a factor in the successful
examination of occupational mobility, the projection of future employment
opportunities, and the determination of future workforce and training
policies.
The seminar includes discussions on the following topics:
Definitions and concepts
- Output, inputs, prices and costs, index theory, and aggregation
methods
Methodology for calculating output per hour and multifactor
productivity measures
- Output measurement including deflated value and physical quantity
measures, input measurement, aggregation of heterogeneous outputs and
inputs, index construction, and index linking
Sources of data
- Various government and private sources (including discussion of poor
or fragmentary data) for derivation of: output measures, input measures
(including labor, capital, and intermediate purchases), and
weights
Trend analysis
- Changes in productivity, factor input shifts, and historical
analysis
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Last modified: January 30, 2018
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