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
Hauptverfasser: Crafts, Nicholas, Mills, Terence C.
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.
ISSN:0027-9501
1741-3036
DOI:10.1177/002795011724200115