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What Happens After A Technology Shock? A Bayesian Perspective. (2005). Mikhail, O..
In: Macroeconomics.
RePEc:wpa:wuwpma:0510016.

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Cocites

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  1. Sensitivity of Impulse Responses to Small Low Frequency Co-Movements : Reconciling the Evidence on the Effects of Technology Shocks. (2009). Pesavento, Elena ; Maynard, Alex ; Gospodinov, Nikolay.
    In: Cahiers de recherche.
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  2. The Effects of Technology Shocks on Hours and Output: A Robustness Analysis. (2008). Michelacci, Claudio ; Lopez-Salido, David ; Canova, Fabio.
    In: CEPR Discussion Papers.
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  3. Are structural VARs with long-run restrictions useful in developing business cycle theory?. (2007). McGrattan, Ellen ; Kehoe, Patrick ; Chari, Varadarajan.
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  4. On the Welfare Cost of Inflation and the Recent Behavior of Money Demand. (2007). Ireland, Peter.
    In: Boston College Working Papers in Economics.
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  5. Technology Shocks and Hours Worked: A Fractional Integration Perspective. (2006). Moreno, Antonio ; Gil-Alana, Luis.
    In: Faculty Working Papers.
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  6. Revisiting the one type permanent shocks hypothesis: Aggregate fluctuations in a multi-sector economy. (2006). Simonelli, Saverio ; Acconcia, Antonio.
    In: CSEF Working Papers.
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  7. A Theory of Demand Shocks. (2006). Lorenzoni, Guido.
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  8. Non-stationary hours in a DSGE model. (2006). Schorfheide, Frank ; Doh, Taeyoung ; Chang, Yongsung.
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  9. Volatility accounting: a production perspective on increased economic stability. (2006). Stiroh, Kevin.
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  10. Productivity and U.S. macroeconomic performance: interpreting the past and predicting the future with a two-sector real business cycle model. (2006). Schuh, Scott ; Ireland, Peter.
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  11. A method to generate structural impulse-responses for measuring the effects of shocks in structural macro models. (2006). Farmer, Roger ; Beyer, Andreas.
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  12. Productivity and U.S. Macroeconomic Performance: Interpreting the Past and Predicting the Future with a Two-Sector Real Business Cycle Model. (2006). Schuh, Scott ; Ireland, Peter.
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  13. Technology Shocks and UK Business Cycles. (2005). Tsoukalas, John ; Khan, Hashmat.
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  14. Is Firm Pricing State or Time-Dependent? Evidence from US Manufacturing.. (2005). Midrigan, Virgiliu.
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  15. What Happens After A Technology Shock? A Bayesian Perspective. (2005). Mikhail, O..
    In: Macroeconomics.
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  16. Sticky prices, fair wages, and the co-movements of unemployment and labor productivity growth. (2005). Tripier, Fabien.
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  17. Trends in hours, balanced growth and the role of technology in the business cycle. (2005). Gali, Jordi.
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  18. Puzzling Comovements between Output and Interest Rates? Multiple Shocks are the Answer.. (2005). Mertens, Elmar.
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  19. Technology Shocks and Robust Sign Restrictions in a Euro Area SVAR. (2005). Straub, Roland ; Peersman, Gert.
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  20. Measures of Per Capita Hours and their Implications for the Technology-Hours Debate. (2005). Ramey, Valerie ; Francis, Neville.
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  21. Trends in Hours, Balanced Growth, and the Role of Technology in the Business Cycle. (2005). Gali, Jordi.
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  22. What Explains the Varying Monetary Response to Technology Shocks in G-7 Countries?. (2005). Owyang, Michael ; Theodorou, Athena T. ; Francis, Neville R..
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  23. Do technological improvements in the manufacturing sector raise or lower employment?. (2005). Hong, Jay ; Chang, Yongsung.
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  24. A critique of structural VARs using real business cycle theory. (2005). McGrattan, Ellen ; Kehoe, Patrick ; Chari, Varadarajan.
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  48. The use of long-run restrictions for the identification of technology shocks. (2003). Owyang, Michael ; Theodorou, Athena T. ; Francis, Neville.
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  49. The response of hours to a technology shock: evidence based on direct measures of technology. (2003). Vigfusson, Robert ; Eichenbaum, Martin ; Christiano, Lawrence.
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  50. How do Canadian hours worked respond to a technology shock?. (2003). Vigfusson, Robert ; Eichenbaum, Martin ; Christiano, Lawrence.
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