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Stochastic Technical Progress, Smooth Trends, and Nearly Distinct Business Cycles

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  • Julio J. Rotemberg

Abstract

This paper studies a model of random technical progress where technology diffuses at realistically slow rates. It fits smooth trends to the sum of GDP series generated by this model and series representing transitory, or cyclical, fluctuations. Detrended GDP is then largely unrelated to technical progress. The detrending method proposed by Rotemberg (1999) reconstructs cyclical variations somewhat more accurately than the HP filter. With sufficiently slow diffusion it is also more accurate than a method based on VARs fitted to hours and GDP growth. Consistent with the model's predictions, permanent shocks initially depress both hours and output in these VARs.

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Bibliographic Info

Article provided by American Economic Association in its journal American Economic Review.

Volume (Year): 93 (2003)
Issue (Month): 5 (December)
Pages: 1543-1559

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Handle: RePEc:aea:aecrev:v:93:y:2003:i:5:p:1543-1559

Note: DOI: 10.1257/000282803322655437
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References

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  1. Edward C. Prescott, 1986. "Theory ahead of business cycle measurement," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Fall, pages 9-22.
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