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 in | International journal of manpower Vol. 21; no. 7; pp. 540 - 553 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Bradford
MCB UP Ltd
01.01.2000
Emerald Group Publishing Limited |
Subjects | |
Online Access | Get full text |
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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. |
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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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Cites_doi | 10.17848/9780880996259 10.1177/001979399304600204 10.2307/1913610 10.2307/1913827 10.1111/j.1468-232X.1996.tb00398.x 10.1086/260677 10.1016/0167-7187(88)90011-2 10.1017/CBO9780511559594 10.2307/2234849 10.2307/1910099 10.1017/CBO9780511664748 |
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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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