2018
DOI: 10.21916/mlr.2018.19
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Multifactor productivity slowdown in U.S. manufacturing

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Cited by 8 publications
(5 citation statements)
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“…This pattern helps to explain the US Bureau of Labor Statistics' finding that from 2004 to 2016, the TFP of the US manufacturing sector declined at an annual rate of 0.3 percent (Brill, Chansky, and Kim 2018). Since real manufacturing output continued to rise in this period, the likely explanation is that TFP is dragged down because the hours of those research and development workers are included in the denominator but their contributions to output are recorded only in overseas locations.…”
Section: Part Iv: Other Measurement Problemsmentioning
confidence: 88%
“…This pattern helps to explain the US Bureau of Labor Statistics' finding that from 2004 to 2016, the TFP of the US manufacturing sector declined at an annual rate of 0.3 percent (Brill, Chansky, and Kim 2018). Since real manufacturing output continued to rise in this period, the likely explanation is that TFP is dragged down because the hours of those research and development workers are included in the denominator but their contributions to output are recorded only in overseas locations.…”
Section: Part Iv: Other Measurement Problemsmentioning
confidence: 88%
“…Column 1 shows that without any controls patents are positively associated with productiv- 21 For more details, refer to Gullickson and Harper (1987).…”
Section: Empirical Findingsmentioning
confidence: 99%
“…On the other hand, ALP is dependent on multifactor productivity (MFP), also known as total factor productivity (TFP), which is assumed to represent the impact of various factors. Primarily, changes in MFP are attributed to improvements in technology or a shift of resources from less productive sectors to more efficient ones (Brill, Chansky & Kim, 2018).…”
Section: Related Literaturementioning
confidence: 99%