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Measures of Technology and the Business Cycle Author info | Abstract | Publisher info | Download info | Related research | Statistics Alexius, Annika (Department of Economics)
Carlsson, Mikael (Department of Economics)
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Empirical evidence on the relationship between technology shocks and e.g. hours worked hinges crucially on the identification of the unobservable technological progress. In this paper, we study different measures of technology in order to find out (i) to what extent they capture the same underlying phenomenon and (ii) whether the implications for macroeconomic theory are robust across the approaches. Several versions of the productions function approach and structural VAR models are investigated. Our main finding is that the different technology measures are highly correlated. However, the exact formulation of the identifying restrictions seems to matter for the results. While we replicate the standard finding of a strongly procyclical Solow residual, all other measures of technology are either acyclical or countercyclical.
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Paper provided by Uppsala University, Department of Economics in its series Working Paper Series with number
2002:10.
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Length: 38 pages
Date of creation: 07 May 2002Date of revision:
02 Mar 2006Publication status: Published in Review of Economics and Statistics, 2005, pages 299-307.Handle: RePEc:hhs:uunewp:2002_010Note: Revised version of the second half of the paper.Contact details of provider: Postal: Department of Economics, Uppsala University, P. O. Box 513, SE-751 20 Uppsala, Sweden Phone: + 46 18 471 25 00 Fax: + 46 18 471 14 78 Email: Web page: http://www.nek.uu.se/ More information through EDIRC
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Keywords: Technology shocks ; productions function approach ; strcture VAR models ; Other versions of this item:
Find related papers by JEL classification: C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
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