PREDICTING MEDIUM-TERM TFP GROWTH IN THE UNITED STATES: ECONOMETRICS VS ‘TECHNO-OPTIMISM’
We analyse TFP growth in the US business sector using a basic unobserved component model where trend growth follows a random walk and the noise is a first order autoregression. This is fitted using a Kalman-filter methodology. We find that trend TFP growth has declined steadily from 1.5 to 1.0 per c...
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Veröffentlicht in: | National Institute economic review 2017-11, Vol.242 (242), p.R60-R67 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | We analyse TFP growth in the US business sector using a basic unobserved component model where trend growth follows a random walk and the noise is a first order autoregression. This is fitted using a Kalman-filter methodology. We find that trend TFP growth has declined steadily from 1.5 to 1.0 per cent per year over the past 50 years. Nevertheless, recent trends are not a good guide to actual medium-term TFP growth. This exhibits substantial variations and is quite unpredictable. Techno-optimists should not give best to productivity pessimists simply because recent TFP growth has been weak. |
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ISSN: | 0027-9501 1741-3036 |
DOI: | 10.1177/002795011724200115 |