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Technology Shocks and Aggregate Fluctuations: How Well Does the Real Business Cycle Model Fit Postwar US Data?

In: NBER Macroeconomics Annual 2004, Volume 19

Citations

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Cited by:

  1. Ríos-Rull, José-Víctor & Schorfheide, Frank & Fuentes-Albero, Cristina & Kryshko, Maxym & Santaeulàlia-Llopis, Raül, 2012. "Methods versus substance: Measuring the effects of technology shocks," Journal of Monetary Economics, Elsevier, vol. 59(8), pages 826-846.
  2. Giovanni Di Bartolomeo & Patrizio Tirelli & Nicola Acocella, "undated". "The optimal inflation rate revisited," Working Papers 76/10, Sapienza University of Rome, Metodi e Modelli per l'Economia, il Territorio e la Finanza MEMOTEF.
  3. David Coble & Sebastián Faúndez, 2016. "The labor wedge and business cycles in Chile," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 19(1), pages 38-56, April.
  4. Edouard Challe & Julien Matheron & Xavier Ragot & Juan F. Rubio‐Ramirez, 2017. "Precautionary saving and aggregate demand," Quantitative Economics, Econometric Society, vol. 8(2), pages 435-478, July.
  5. Erik Eyster & Kristóf Madarász & Pascal Michaillat, 2021. "Pricing Under Fairness Concerns," Journal of the European Economic Association, European Economic Association, vol. 19(3), pages 1853-1898.
  6. John G. Fernald, 2005. "Trend breaks, long-run restrictions, and the contractionary effects of technology improvements," Working Paper Series 2005-21, Federal Reserve Bank of San Francisco.
  7. Inoue, Atsushi & Kuo, Chun-Hung & Rossi, Barbara, 2020. "Identifying the sources of model misspecification," Journal of Monetary Economics, Elsevier, vol. 110(C), pages 1-18.
  8. Schorfheide, Frank & Fuentes-Albero, Cristina & Kryshko, Maxym & Santaeulà lia-Llopis, Raül, 2009. "Methods versus Substance: Measuring the Effects of Technology Shocks on Hours," CEPR Discussion Papers 7474, C.E.P.R. Discussion Papers.
  9. Tervala, Juha, 2008. "Technology Shocks and Employment in Open Economies," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 1, pages 1-27.
  10. Danilo Liberati, 2018. "An estimated DSGE model with search and matching frictions in the credit market," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 11(6), pages 567-617.
  11. Eduardo Giménez & José Martín-Moreno, 2013. "Transmission mechanisms of real stochastic shocks in a small open economy," International Economics and Economic Policy, Springer, vol. 10(2), pages 217-245, June.
  12. David Coble, 2015. "The Labor Wedge: New Facts Based on US Microdata," Working Papers Central Bank of Chile 751, Central Bank of Chile.
  13. Peter N. Ireland, 2009. "On the Welfare Cost of Inflation and the Recent Behavior of Money Demand," American Economic Review, American Economic Association, vol. 99(3), pages 1040-1052, June.
  14. Frank Schorfheide, 2008. "DSGE model-based estimation of the New Keynesian Phillips curve," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 94(Fall), pages 397-433.
  15. Thijs van Rens & Almut Balleer, 2007. "Cyclical Skill-Biased Technological Change," 2007 Meeting Papers 62, Society for Economic Dynamics.
  16. Rosen Valchev, 2015. "Exchange Rates and UIP Violations at Short and Long Horizons," 2015 Meeting Papers 1446, Society for Economic Dynamics.
  17. Kuester, Keith & Müller, Gernot J. & Stölting, Sarah, 2009. "Is the New Keynesian Phillips curve flat?," Economics Letters, Elsevier, vol. 103(1), pages 39-41, April.
  18. Andrei A Levchenko & Nitya Pandalai-Nayar, 2020. "Tfp, News, and “Sentiments”: the International Transmission of Business Cycles," Journal of the European Economic Association, European Economic Association, vol. 18(1), pages 302-341.
  19. Christopher A. Sims, 2005. "Commentary on \\"trends in hours, balanced growth, and the role of technology in the business cycle\\"," Review, Federal Reserve Bank of St. Louis, vol. 87(Jul), pages 487-492.
  20. Jordi Gali, 2005. "Trends in hours, balanced growth, and the role of technology in the business cycle," Review, Federal Reserve Bank of St. Louis, vol. 87(Jul), pages 459-486.
  21. Angeletos, G.-M. & Lian, C., 2016. "Incomplete Information in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1065-1240, Elsevier.
  22. Sergio Ocampo Díaz, 2012. "A Model of Rule-of-Thumb Consumers With Nominal Price and Wage Rigidities," Borradores de Economia 9595, Banco de la Republica.
  23. George-Marios Angeletos & Chen Lian, 2016. "Incomplete Information in Macroeconomics: Accommodating Frictions in Coordination," NBER Working Papers 22297, National Bureau of Economic Research, Inc.
  24. Kascha, Christian & Mertens, Karel, 2009. "Business cycle analysis and VARMA models," Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 267-282, February.
  25. Wen, Yi, 2007. "By force of demand: Explaining international comovements," Journal of Economic Dynamics and Control, Elsevier, vol. 31(1), pages 1-23, January.
  26. Charles, Amélie & Darné, Olivier & Tripier, Fabien, 2015. "Are Unit Root Tests Useful In The Debate Over The (Non)Stationarity Of Hours Worked?," Macroeconomic Dynamics, Cambridge University Press, vol. 19(1), pages 167-188, January.
  27. Greg Hannsgen, 2011. "Infinite-variance, Alpha-stable Shocks in Monetary SVAR: Final Working Paper Version," Economics Working Paper Archive wp_682, Levy Economics Institute.
  28. Edge, Rochelle M. & Laubach, Thomas & Williams, John C., 2007. "Learning and shifts in long-run productivity growth," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2421-2438, November.
  29. Rosen Valchev, 2020. "Bond Convenience Yields and Exchange Rate Dynamics," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(2), pages 124-166, April.
  30. Malley, Jim & Woitek, Ulrich, 2010. "Technology shocks and aggregate fluctuations in an estimated hybrid RBC model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(7), pages 1214-1232, July.
  31. Rujin, Svetlana, 2024. "Labor market institutions and technology-induced labor adjustment along the extensive and intensive margins," Journal of Macroeconomics, Elsevier, vol. 79(C).
  32. Yi Wen, 2005. "By force of demand: explaining international comovements and the saving-investment correlation puzzle," Working Papers 2005-043, Federal Reserve Bank of St. Louis.
  33. Sean Holly & Ivan Petrella, 2012. "Factor Demand Linkages, Technology Shocks, and the Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 948-963, November.
  34. Hirata, Hideaki, 2014. "Preference shocks, international frictions, and international business cycles," Journal of Asian Economics, Elsevier, vol. 34(C), pages 92-104.
  35. Fernald, John G., 2007. "Trend breaks, long-run restrictions, and contractionary technology improvements," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2467-2485, November.
  36. Zeno Enders & Michael Kleemann & Gernot J. Muller, 2021. "Growth Expectations, Undue Optimism, and Short-Run Fluctuations," The Review of Economics and Statistics, MIT Press, vol. 103(5), pages 905-921, December.
  37. Sevgi Coskun, 2020. "Technology Shocks and Non-stationary Hours in Emerging Countries and DSVAR," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 14(2), pages 129-163, May.
  38. Martínez-García Enrique, 2010. "A Model of the Exchange Rate with Informational Frictions," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-39, January.
  39. Chatterjee, Sidharta, 2014. "Equilibrium Models of Macroeconomic Science: What to Look For in (DSGE) Models?," MPRA Paper 53893, University Library of Munich, Germany.
  40. Peter Ireland & Scott Schuh, 2008. "Productivity and U.S. Macroeconomic Performance: Interpreting the Past and Predicting the Future with a Two-Sector Real Business Cycle Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(3), pages 473-492, July.
  41. George-Marios Angeletos & Jennifer La'O, 2010. "Noisy Business Cycles," NBER Chapters, in: NBER Macroeconomics Annual 2009, Volume 24, pages 319-378, National Bureau of Economic Research, Inc.
  42. Rujin, Svetlana, 2019. "What are the effects of technology shocks on international labor markets?," Ruhr Economic Papers 806, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  43. Shingo Watanabe, 2006. "Roles of Technology and Nontechnology Shocks in the Business Cycles," Bank of Japan Working Paper Series 06-E-11, Bank of Japan.
  44. Di Bartolomeo Giovanni & Tirelli Patrizio, 2016. "Public finance and the optimal inflation rate," wp.comunite 00128, Department of Communication, University of Teramo.
  45. Pau Rabanal & Vicente Tuesta, 2013. "Nontradable Goods and the Real Exchange Rate," Open Economies Review, Springer, vol. 24(3), pages 495-535, July.
  46. Marcos Sanso-Navarro, 2012. "Broken trend stationarity of hours worked," Applied Economics, Taylor & Francis Journals, vol. 44(30), pages 3955-3964, October.
  47. Tobias Broer & Per Krusell & Niels-Jakob Hansen & Erik Oberg, 2015. "The New Keynesian Transmission Channel," 2015 Meeting Papers 941, Society for Economic Dynamics.
  48. Lechthaler, Wolfgang & Mileva, Mariya, 2016. "Inter-industry trade and business cycle dynamics," Kiel Working Papers 2041, Kiel Institute for the World Economy (IfW Kiel).
  49. Mumtaz, Haroon & Zanetti, Francesco, 2012. "Neutral technology shocks and employment dynamics: results based on an RBC identification scheme," Bank of England working papers 453, Bank of England.
  50. He, Zhaochen, 2019. "Fear itself: How risk sensitive firms can give demand shocks bite," Economic Modelling, Elsevier, vol. 82(C), pages 437-452.
  51. Cantore, C. & Ferroni, F. & León-Ledesma, M A., 2011. "Interpreting the Hours-Technology time-varying relationship," Working papers 351, Banque de France.
  52. Yoshihiko Hogen & Ko Miura & Koji Takahashi, 2017. "Large Firm Dynamics and Secular Stagnation: Evidence from Japan and the U.S," Bank of Japan Working Paper Series 17-E-8, Bank of Japan.
  53. Mittnik, Stefan & Semmler, Willi, 2012. "Regime dependence of the fiscal multiplier," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 502-522.
  54. Cantore, Cristiano & Ferroni, Filippo & León-Ledesma, Miguel A., 2017. "The dynamics of hours worked and technology," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 67-82.
  55. repec:pri:wwseco:dp234 is not listed on IDEAS
  56. Ríos-Rull, José-Víctor & Santaeulàlia-Llopis, Raül, 2010. "Redistributive shocks and productivity shocks," Journal of Monetary Economics, Elsevier, vol. 57(8), pages 931-948, November.
  57. Kashif Zaheer Malik & Syed Zahid Ali, 2020. "Is the empirical relationship between hours and productivity effected by corporate profits?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(1), pages 99-119, January.
  58. Cristiano Cantore & Vasco J. Gabriel & Paul Levine & Joseph Pearlman & Bo Yang, 2013. "The science and art of DSGE modelling: I – construction and Bayesian estimation," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 18, pages 411-440, Edward Elgar Publishing.
  59. J. Stephen Ferris, 2010. "Fiscal Policy from a Public Choice Perspective," Carleton Economic Papers 10-10, Carleton University, Department of Economics.
  60. Ufuk Devrim Demirel, 2015. "Identification of technology shocks using misspecified VARs," Canadian Journal of Economics, Canadian Economics Association, vol. 48(4), pages 1321-1349, November.
  61. Eyster, Erik & Madarász, Kristóf & Michaillat, Pascal, 2015. "Preferences for fair prices, cursed inferences, and the nonneutrality of money," LSE Research Online Documents on Economics 60845, London School of Economics and Political Science, LSE Library.
  62. Shingo Watanabe, 2012. "The Role Of Technology And Nontechnology Shocks In Business Cycles," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(4), pages 1287-1321, November.
  63. Luo Yulei & Young Eric R, 2009. "Rational Inattention and Aggregate Fluctuations," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-43, April.
  64. Jennifer La'O, 2010. "Collateral Constraints and Noisy Fluctuations," 2010 Meeting Papers 780, Society for Economic Dynamics.
  65. Stephanie Schmitt-Grohé, 2010. "Comment on "Letting Different Views about Business Cycles Compete"," NBER Chapters, in: NBER Macroeconomics Annual 2009, Volume 24, pages 475-489, National Bureau of Economic Research, Inc.
  66. Fuentes-Albero, Cristina, 2007. "Technology Shocks, Statistical Models, and The Great Moderation," MPRA Paper 3589, University Library of Munich, Germany.
  67. Dino Martellato, 2008. "Economic Integration and Macroeconomic Convergence in the Euro Area," Working Papers 2008_34, Department of Economics, University of Venice "Ca' Foscari".
  68. Kim, Myeong Hyeon & Sun, Lingxia, 2017. "Dynamic conditional correlations between Chinese sector returns and the S&P 500 index: An interpretation based on investment shocks," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 309-325.
  69. Furlanetto, Francesco & Seneca, Martin, 2014. "Investment shocks and consumption," European Economic Review, Elsevier, vol. 66(C), pages 111-126.
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