Whelan, Karl (2006): Technology Shocks and Hours Worked: Checking for Robust Conclusions.
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Abstract
This paper presents some new results on the effects of technology shocks on hours worked based on structural VAR specifications containing various measures of US productivity growth and hours. These specifications can produce different answers depending on which sector of the economy is examined, which transformation of hours worked is used, and on how many lags are chosen for the VAR. However, it is shown that the results from the stochastic trend specification used by Jordi Gali (1999) are robust across changes in data definition and lag length, while the results from the per capita hours specification of Christiano, Eichenbaum, and Vigfusson (2003) are not. These results provide support for Gali's findings that technology shocks have a negative impact effect on hours worked and that these shocks play a limited role in generating the business cycle.
Item Type: | MPRA Paper |
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Original Title: | Technology Shocks and Hours Worked: Checking for Robust Conclusions |
Language: | English |
Subjects: | E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O41 - One, Two, and Multisector Growth Models |
Item ID: | 5911 |
Depositing User: | Karl Whelan |
Date Deposited: | 24 Nov 2007 01:41 |
Last Modified: | 01 Oct 2019 14:22 |
References: | [1] Basu, Susanto, John Fernald, and Miles Kimball (1998). Are Technology Improvements Contractionary?, Federal Reserve Board, International Finance Discussion Paper, 1998-625. [2] Blanchard, Olivier and Danny Quah (1989). ``The Dynamic Effects of Aggregate Demand and Supply Disturbances,'' American Economic Review, 79, 655-673. [3] Christiano, Lawrence, Martin Eichenbaum and Robert Vigfusson (2003). What Happens After a Technology Shock?, Federal Reserve Board, International Finance Discussion Paper, 2003-768. [4] Francis, Neville, Michael Owyang and Athena Theodorou (2003). The Use of Long-Run Restrictions for the Identification of Technology Shocks, Federal Reserve Bank of St. Louis Economic Review, November/December, 53-66. [5] Gali , Jordi (1999). ``Technology, Employment and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations,'' American Economic Review, 89, 249-271. [6] Shapiro, Matthew and Mark Watson (1988). ``Sources of Business Cycle Fluctuations,'' NBER Macroeconomics Annual, Volume 3, 111-148. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/5911 |