![]() We also use industry-level data from the BLS Current Population Survey (CPS). The primary data sources include microdata from the Census Bureau's Annual Survey of Manufactures (ASM), Census of Manufactures (CM), and Longitudinal Business Database (LBD). Do most establishments tend to rise and fall together with the business cycle? This pattern might suggest a compressed or stable distribution of productivity.ĭiSP provides statistics on establishment-level distributions of real gross output per hour worked and total factor productivity (gross output per unit of combined inputs). Are some establishments rising stars of productivity, leaping far above average during times of rapid change, while others struggle to improve productivity? These dynamics lead to a widening distribution. You may have a picture in your mind of how a certain industry’s productivity distribution looks. The official industry productivity statistics published by BLS are, after all, the weighted average productivity of all the establishments that make up the industry. ![]() This has important implications for how productivity (the ratio of outputs to inputs) changes in the industry as a whole over time. Some industries have a wider spread than others between more productive establishments and less productive establishments. How will BLS and the Census Bureau expand and improve this data product?Ī peek at the patterns underlying industry productivity.What interesting patterns have researchers found so far?.How are these measures different from other BLS productivity statistics?.Why are BLS and the Census Bureau publishing these measures?.Comparison of high and low dispersion industries.Summary charts of dispersion in manufacturing industries.What are productivity dispersion statistics?.A peek at the patterns underlying industry productivity.Dispersion in Dispersion: Measuring Establishment-Level Differences in Productivity ( PDF).This paper finds that within-industry productivity dispersion is strongly positively related to within-industry task/skill dispersion. Researchers at BLS and the Census Bureau also published a BLS working paper, “ Opening the Black Box: Task and Skill Mix and Productivity Dispersion," using the DiSP data and the Occupation Employment and Wage Statistics (OEWS) to examine the relationship between dispersion in productivity and skills/tasks at the detailed industry level. Only later does productivity grow faster and lastly productivity dispersion declines. A hypothesis is examined: in certain industries, periods of innovation are initially associated with a surge in business start-ups, followed by rising dispersion. ![]() Manufacturing." This paper combines dispersion data with novel data from the Business Dynamics Statistics (BDS) on establishment and firm entry rates. ![]() Researchers at BLS and the Census Bureau recently published a paper in the International Productivity Monitor using the DiSP data: " Chaos Before Order: Productivity Patterns in U.S. Detailed information on the construction of this data product is available in the working paper, " Dispersion in Dispersion: Measuring Establishment-Level Differences in Productivity," which was published in the Review of Income and Wealth. Industry classifications conform to the NAICS 2012 structure. DiSP covers all 86 4-digit North American Industry Classification System (NAICS) industries for the years 1987 through 2019. This release adds two measures of tail dispersion, the 99-90 range and the 10-01 range. Census Bureau updated an experimental data product, Dispersion Statistics on Productivity (DiSP). On September 28, 2022, the Bureau of Labor Statistics (BLS) and the U.S. How does productivity vary by establishment?
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