Are longer hours reducing productivity in manufacturing?

This paper provides statistical evidence of the effects of overtime hours on worker productivity using aggregate panel data for 18 manufacturing industries within the US economy. An economic production function model is specified and estimated using data for the years 1956-1991 provided by the US De...

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Published inInternational journal of manpower Vol. 21; no. 7; pp. 540 - 553
Main Authors Shepard, Edward, Clifton, Thomas
Format Journal Article
LanguageEnglish
Published Bradford MCB UP Ltd 01.01.2000
Emerald Group Publishing Limited
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Abstract This paper provides statistical evidence of the effects of overtime hours on worker productivity using aggregate panel data for 18 manufacturing industries within the US economy. An economic production function model is specified and estimated using data for the years 1956-1991 provided by the US Department of Labor, Bureau of Labor Statistics, the US Department of Commerce, and the Federal Reserve Board. Standard approaches are applied to specify and estimate a factor-augmented production function model, with possible effects of overtime on productivity incorporated through the specification of factor effort functions. The empirical results suggest that use of overtime hours lowers average productivity, measured as output per worker hour, for almost all of the industries included in the sample. These results hold up under several alternative specifications and estimation techniques, including controls or corrections for autocorrelation, heteroskedasticity, rates of capacity utilization, and possible endogeneity of the constructed variable representing use of overtime hours.
AbstractList This paper provides statistical evidence of the effects of overtime hours on worker productivity using aggregate panel data for 18 manufacturing industries within the US economy. An economic production function model is specified and estimated using data for the years 1956-1991 provided by the US Department of Labor, Bureau of Labor Statistics, the US Department of Commerce, and the Federal Reserve Board. Standard approaches are applied to specify and estimate a factor-augmented production function model, with possible effects of overtime on productivity incorporated through the specification of factor effort functions. The empirical results suggest that use of overtime hours lowers average productivity, measured as output per worker hour, for almost all of the industries included in the sample. These results hold up under several alternative specifications and estimation techniques, including controls or corrections for autocorrelation, heteroskedasticity, rates of capacity utilization, and possible endogeneity of the constructed variable representing use of overtime hours.
This paper provides statistical evidence of the effects of overtime hours on worker productivity using aggregate panel data for 18 manufacturing industries within the US economy. An economic production function model is specified and estimated using data for the years 19561991 provided by the US Department of Labor, Bureau of Labor Statistics, the US Department of Commerce, and the Federal Reserve Board. Standard approaches are applied to specify and estimate a factoraugmented production function model, with possible effects of overtime on productivity incorporated through the specification of factor effort functions. The empirical results suggest that use of overtime hours lowers average productivity, measured as output per worker hour, for almost all of the industries included in the sample. These results hold up under several alternative specifications and estimation techniques, including controls or corrections for autocorrelation, heteroskedasticity, rates of capacity utilization, and possible endogeneity of the constructed variable representing use of overtime hours.
Statistical evidence is presented of the effects of overtime hours on worker productivity using aggregate panel data for 18 manufacturing industries within the US economy. An economic production function model is specified and estimated using data for the years 1956-1991 provided by the US Department of Labor, Bureau of Labor Statistics, the US Department of Commerce and the Federal Reserve Board. Results suggest that use of overtime hours lowers average productivity, measured as output per worker hour, for almost all the industries included in the sample. These results hold up under several alternative specifications and estimation techniques.
Author Clifton, Thomas
Shepard, Edward
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Working hours
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SubjectTerms Absenteeism
Case studies
Econometrics
Effects
Efficiency
Employees
Households
Labor force
Manufacturing
Manufacturing industry
Overtime
Part time employment
Production functions
Productivity
Productivity measurement
Studies
Trends
USA
Workers
Working hours
Workweeks
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Title Are longer hours reducing productivity in manufacturing?
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