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Can long-run restrictions identify technology shocks?

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Cited by:

  1. Yao, Wenying & Kam, Timothy & Vahid, Farshid, 2017. "On weak identification in structural VARMA models," Economics Letters, Elsevier, vol. 156(C), pages 1-6.
  2. Ravenna, Federico, 2007. "Vector autoregressions and reduced form representations of DSGE models," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 2048-2064, October.
  3. Almut Balleer & Thijs van Rens, 2013. "Skill-Biased Technological Change and the Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1222-1237, October.
  4. Elstner, Steffen & Feld, Lars P. & Schmidt, Christoph M., 2018. "The German productivity paradox: Facts and explanations," Ruhr Economic Papers 767, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  5. Molnárová, Zuzana & Reiter, Michael, 2022. "Technology, demand, and productivity: What an industry model tells us about business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
  6. Francesco Zanetti & Konstantinos Theodoridis, 2018. "State Dependence in Labor Market Fluctuations: Evidence, Theory, and Policy Implications," Economics Series Working Papers 856, University of Oxford, Department of Economics.
  7. Canova, Fabio & Michelacci, Claudio & López-Salido, J David, 2007. "The Labour Market Effects of Technology Shocks," CEPR Discussion Papers 6365, C.E.P.R. Discussion Papers.
  8. 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.
  9. Olivier CARDI & Romain RESTOUT, 2023. "Why Hours Worked Decline Less After Technology Shocks?," Working Papers of BETA 2023-30, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  10. Jordi Gali & Pau Rabanal, 2004. "Technology Shocks and Aggregate Fluctuations: How Well Does the RBS Model Fit Postwar U.S. Data?," NBER Working Papers 10636, National Bureau of Economic Research, Inc.
  11. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
  12. Fève, P. & Matheron, J., 2005. "Can the Kydland--Prescott Model Pass the Cogley--Nason Test?," Working papers 125, Banque de France.
  13. Neville Francis & Valerie A. Ramey, 2009. "Measures of per Capita Hours and Their Implications for the Technology-Hours Debate," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(6), pages 1071-1097, September.
  14. Soccorsi, Stefano, 2016. "Measuring nonfundamentalness for structural VARs," Journal of Economic Dynamics and Control, Elsevier, vol. 71(C), pages 86-101.
  15. Patrick Fève & Alain Guay, 2010. "Identification of Technology Shocks in Structural Vars," Economic Journal, Royal Economic Society, vol. 120(549), pages 1284-1318, December.
  16. D.S. Poskitt & Wenying Yao, 2012. "VAR Modeling and Business Cycle Analysis: A Taxonomy of Errors," Monash Econometrics and Business Statistics Working Papers 11/12, Monash University, Department of Econometrics and Business Statistics.
  17. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2007. "Assessing Structural VARs," NBER Chapters, in: NBER Macroeconomics Annual 2006, Volume 21, pages 1-106, National Bureau of Economic Research, Inc.
  18. Gubler, Matthias & Hertweck, Matthias S., 2013. "Commodity price shocks and the business cycle: Structural evidence for the U.S," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 324-352.
  19. Luigi Paciello, 2011. "Does Inflation Adjust Faster to Aggregate Technology Shocks than to Monetary Policy Shocks?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(8), pages 1663-1684, December.
  20. Gust, Christopher & Leduc, Sylvain & Sheets, Nathan, 2009. "The adjustment of global external balances: Does partial exchange-rate pass-through to trade prices matter?," Journal of International Economics, Elsevier, vol. 79(2), pages 173-185, November.
  21. Forbes, Kristin & Hjortsoe, Ida & Nenova, Tsvetelina, 2018. "The shocks matter: Improving our estimates of exchange rate pass-through," Journal of International Economics, Elsevier, vol. 114(C), pages 255-275.
  22. Yao, Wenying & Kam, Timothy & Vahid, Farshid, 2014. "VAR(MA), what is it good for? more bad news for reduced-form estimation and inference," Working Papers 2014-14, University of Tasmania, Tasmanian School of Business and Economics.
  23. Cristiano Cantore & Filippo Ferroni & Miguel León-Ledesma, 2021. "The Missing Link: Monetary Policy and The Labor Share," Journal of the European Economic Association, European Economic Association, vol. 19(3), pages 1592-1620.
  24. Dupaigne, Martial & Fève, Patrick & Matheron, Julien, 2005. "Technology Shocks and Employment: Do We Really Need DSGE Models with a Fall in Hours?," IDEI Working Papers 349, Institut d'Économie Industrielle (IDEI), Toulouse.
  25. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez & Thomas J. Sargent & Mark W. Watson, 2007. "ABCs (and Ds) of Understanding VARs," American Economic Review, American Economic Association, vol. 97(3), pages 1021-1026, June.
  26. 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.
  27. Miles S. Kimball & John G. Fernald & Susanto Basu, 2006. "Are Technology Improvements Contractionary?," American Economic Review, American Economic Association, vol. 96(5), pages 1418-1448, December.
  28. Alban Moura, 2018. "Investment Shocks, Sticky Prices, and the Endogenous Relative Price of Investment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 27, pages 48-63, January.
  29. Patrick Fève, 2005. "Voies de la modélisation macro-économétrique?," Revue Française d'Économie, Programme National Persée, vol. 20(1), pages 147-179.
  30. Lovcha, Yuliya & Perez-Laborda, Alejandro, 2015. "The Hours Worked–Productivity Puzzle: Identification In A Fractional Integration Setting," Macroeconomic Dynamics, Cambridge University Press, vol. 19(7), pages 1593-1621, October.
  31. Dupaigne, Martial & Feve, Patrick & Matheron, Julien, 2007. "Some analytics on bias in DSVARs," Economics Letters, Elsevier, vol. 97(1), pages 32-38, October.
  32. Ellen R. McGrattan, 2004. "Comment on Gali and Rabanal's "Technology shocks and aggregate fluctuations: how well does the RBC model fit postwar U.S. data?"," Staff Report 338, Federal Reserve Bank of Minneapolis.
  33. David Altig & Lawrence Christiano & Martin Eichenbaum & Jesper Linde, 2011. "Firm-Specific Capital, Nominal Rigidities and the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(2), pages 225-247, April.
  34. Alain Guay & Florian Pelgrin, 2021. "SVARs in the Frequency Domain using a Continuum of Restrictions," Working Papers 21-07, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
  35. Martial Dupaigne & Patrick Feve & Julien Matheron, 2007. "Technology Shocks, Non-stationary Hours and DSVAR," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 10(2), pages 238-255, April.
  36. Antolín-Díaz, Juan & Petrella, Ivan & Rubio-Ramírez, Juan F., 2021. "Structural scenario analysis with SVARs," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 798-815.
  37. Canova, Fabio, 2020. "FAQ: How do I measure the Output gap?," CEPR Discussion Papers 14943, C.E.P.R. Discussion Papers.
  38. Giancarlo Corsetti & Luca Dedola & Sylvain Leduc, 2008. "Productivity, External Balance, and Exchange Rates: Evidence on the Transmission Mechanism among G7 Countries," NBER Chapters, in: NBER International Seminar on Macroeconomics 2006, pages 117-194, National Bureau of Economic Research, Inc.
  39. Elstner, Steffen & Grimme, Christian & Kecht, Valentin & Lehmann, Robert, 2022. "The diffusion of technological progress in ICT," European Economic Review, Elsevier, vol. 149(C).
  40. Neville Francis & Michael T. Owyang & Jennifer E. Roush & Riccardo DiCecio, 2014. "A Flexible Finite-Horizon Alternative to Long-Run Restrictions with an Application to Technology Shocks," The Review of Economics and Statistics, MIT Press, vol. 96(4), pages 638-647, October.
  41. Yongsung Chang & Jay H. Hong, 2006. "Do Technological Improvements in the Manufacturing Sector Raise or Lower Employment?," American Economic Review, American Economic Association, vol. 96(1), pages 352-368, March.
  42. Bisio Laura & Faccini Andrea, 2010. "Does cointegration matter? An analysis in a RBC perspective," wp.comunite 0066, Department of Communication, University of Teramo.
  43. Gouriéroux, Christian & Monfort, Alain & Renne, Jean-Paul, 2017. "Statistical inference for independent component analysis: Application to structural VAR models," Journal of Econometrics, Elsevier, vol. 196(1), pages 111-126.
  44. Kristin Forbes & Ida Hjortsoe & Tsvetelina Nenova, 2020. "International Evidence on Shock-Dependent Exchange Rate Pass-Through," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 68(4), pages 721-763, December.
  45. Chari, V.V. & Kehoe, Patrick J. & McGrattan, Ellen R., 2008. "Are structural VARs with long-run restrictions useful in developing business cycle theory?," Journal of Monetary Economics, Elsevier, vol. 55(8), pages 1337-1352, November.
  46. Pastory Dickson & Emmanuel Munishi, 2022. "Volatility shocks in energy commodities: The influence of COVID-19," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(2), pages 214-227, March.
  47. Dedola, Luca & Neri, Stefano, 2007. "What does a technology shock do? A VAR analysis with model-based sign restrictions," Journal of Monetary Economics, Elsevier, vol. 54(2), pages 512-549, March.
  48. Velinov, Anton, 2016. "On the importance of testing structural identification schemes and the potential consequences of incorrectly identified models," VfS Annual Conference 2016 (Augsburg): Demographic Change 145581, Verein für Socialpolitik / German Economic Association.
  49. J. Stephen Ferris, 2012. "The Relationship Between Government Size and Economic Performance with Particular Application to New Zealand," Carleton Economic Papers 12-06, Carleton University, Department of Economics, revised 25 Apr 2013.
  50. Bertinelli, Luisito & Cardi, Olivier & Restout, Romain, 2022. "Labor market effects of technology shocks biased toward the traded sector," Journal of International Economics, Elsevier, vol. 138(C).
  51. 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.
  52. Christopher J. Gust & Robert J. Vigfusson, 2009. "The power of long-run structural VARs," International Finance Discussion Papers 978, Board of Governors of the Federal Reserve System (U.S.).
  53. Martial Dupaigne & Patrick Feve, 2009. "Technology shocks around the world," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(4), pages 592-607, October.
  54. Jon Faust, 2009. "Commentary on Issues on potential growth measurement and comparison: how structural is the production function approach?," Review, Federal Reserve Bank of St. Louis, vol. 91(Jul), pages 241-246.
  55. Helmut Lütkepohl & Anna Staszewska-Bystrova & Peter Winker, 2018. "Estimation of structural impulse responses: short-run versus long-run identifying restrictions," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(2), pages 229-244, April.
  56. Elstner, Steffen & Rujin, Svetlana, 2023. "The consequences of US technology changes for productivity in advanced economies," Macroeconomic Dynamics, Cambridge University Press, vol. 27(3), pages 718-742, April.
  57. Nuno Alves & Jose Brandao de Brito & Sandra Gomes & Joao Sousa, 2009. "The transmission of monetary policy and technology shocks in the euro area," Applied Economics, Taylor & Francis Journals, vol. 43(8), pages 917-927.
  58. Attfield, Cliff & Temple, Jonathan R.W., 2010. "Balanced growth and the great ratios: New evidence for the US and UK," Journal of Macroeconomics, Elsevier, vol. 32(4), pages 937-956, December.
  59. Adrian Pagan & Tim Robinson, 2016. "Investigating the Relationship Between DSGE and SVAR Models," NCER Working Paper Series 112, National Centre for Econometric Research.
  60. Neville Francis & Michael T. Owyang & Jennifer E. Roush, 2005. "A Flexible Finite-Horizon Identification of Technology Shocks," International Finance Discussion Papers 832, Board of Governors of the Federal Reserve System (U.S.).
  61. 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.
  62. Bodenstein, Martin & Kamber, Güneş & Thoenissen, Christoph, 2018. "Commodity prices and labour market dynamics in small open economies," Journal of International Economics, Elsevier, vol. 115(C), pages 170-184.
  63. Phiromswad, Piyachart, 2015. "Measuring monetary policy with empirically grounded restrictions: An application to Thailand," Journal of Asian Economics, Elsevier, vol. 38(C), pages 104-113.
  64. 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.
  65. Dupor, Bill & Han, Jing & Tsai, Yi-Chan, 2009. "What do technology shocks tell us about the New Keynesian paradigm?," Journal of Monetary Economics, Elsevier, vol. 56(4), pages 560-569, May.
  66. Andrei Polbin & Sergey Drobyshevsky, 2014. "Developing a Dynamic Stochastic Model of General Equilibrium for the Russian Economy," Research Paper Series, Gaidar Institute for Economic Policy, issue 166P, pages 156-156.
  67. Ida Wolden Bache, 2006. "Assessing the structural VAR approach to exchange rate pass-through," Computing in Economics and Finance 2006 309, Society for Computational Economics.
  68. Velinov, Anton, 2018. "On the importance of testing structural identification schemes and the potential consequences of incorrectly identified models," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 2(1), pages 106-126.
  69. John W. Keating & Victor J. Valcarcel, 2012. "What's so Great about the Great Moderation? A Multi-Country Investigation of Time-Varying Volatilities of Output Growth and Inflation," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201204, University of Kansas, Department of Economics.
  70. Rujin, Svetlana, 2024. "Labor market institutions and technology-induced labor adjustment along the extensive and intensive margins," Journal of Macroeconomics, Elsevier, vol. 79(C).
  71. Lindé, Jesper, 2004. "The Effects of Permanent Technology Shocks on Labor Productivity and Hours in the RBC model," Working Paper Series 161, Sveriges Riksbank (Central Bank of Sweden).
  72. Hashmat Khan & John Tsoukalas, 2011. "Effects of Productivity Shocks on Employment: UK Evidence (revised 25 February 2013)," Carleton Economic Papers 11-05, Carleton University, Department of Economics, revised 25 Feb 2013.
  73. Carlo Pizzinelli & Konstantinos Theodoridis & Francesco Zanetti, 2020. "State Dependence In Labor Market Fluctuations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(3), pages 1027-1072, August.
  74. Michael D. Bordo & Christopher J. Erceg & Andrew T. Levin & Ryan Michaels, 2007. "Three great American disinflations," Proceedings, Federal Reserve Bank of San Francisco.
  75. Guglielminetti, Elisa & Pouraghdam, Meradj, 2018. "Time-varying job creation and macroeconomic shocks," Labour Economics, Elsevier, vol. 50(C), pages 156-179.
  76. Alban Moura, 2018. "Investment Shocks, Sticky Prices, and the Endogenous Relative Price of Investment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 27, pages 48-63, January.
  77. Piyachart Phiromswad, 2014. "Measuring monetary policy with empirically grounded identifying restrictions," Empirical Economics, Springer, vol. 46(2), pages 681-699, March.
  78. 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.
  79. Khan Hashmat & Tsoukalas John, 2013. "Effects of productivity shocks on hours worked: UK evidence," The B.E. Journal of Macroeconomics, De Gruyter, vol. 13(1), pages 549-579, September.
  80. Acconcia, Antonio & Simonelli, Saverio, 2008. "Interpreting aggregate fluctuations looking at sectors," Journal of Economic Dynamics and Control, Elsevier, vol. 32(9), pages 3009-3031, September.
  81. Khan, Hashmat & Kim, Bae-Geun, 2013. "Markups and oil prices in Canada," Economic Modelling, Elsevier, vol. 30(C), pages 799-813.
  82. Fabio Canova & David López-Salido & Claudio Michelacci, 2006. "On the robust effects of technology shocks on hours worked and output," Economics Working Papers 1013, Department of Economics and Business, Universitat Pompeu Fabra, revised Feb 2008.
  83. Mertens, Elmar, 2012. "Are spectral estimators useful for long-run restrictions in SVARs?," Journal of Economic Dynamics and Control, Elsevier, vol. 36(12), pages 1831-1844.
  84. 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.
  85. Francesco Giuli & Massimiliano Tancioni, 2009. "Firm-Specific Capital, Productivity Shocks and Investment Dynamics," Working Papers in Public Economics 120, Department of Economics and Law, Sapienza University of Roma.
  86. 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.
  87. 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.
  88. Canova, Fabio, 2020. "FAQ: How do I extract the output gap?," Working Paper Series 386, Sveriges Riksbank (Central Bank of Sweden).
  89. Marcos Sanso-Navarro, 2012. "Broken trend stationarity of hours worked," Applied Economics, Taylor & Francis Journals, vol. 44(30), pages 3955-3964, October.
  90. 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.
  91. Wiriyawit Varang & Wong Benjamin, 2016. "Structural VARs, deterministic and stochastic trends: how much detrending matters for shock identification," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(2), pages 141-157, April.
  92. Haroon Mumtaz & Konstantinos Theodoridis, 2023. "The Federal Reserve'S Implicit Inflation Target And Macroeconomic Dynamics: An Svar Analysis," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(4), pages 1749-1775, November.
  93. Houtan Bastani & Luca Guerrieri, 2008. "On the application of automatic differentiation to the likelihood function for dynamic general equilibrium models," International Finance Discussion Papers 920, Board of Governors of the Federal Reserve System (U.S.).
  94. Ramey, V.A., 2016. "Macroeconomic Shocks and Their Propagation," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 71-162, Elsevier.
  95. Francesco Giuli & Massimiliano Tancioni, 2010. "Contractionary Effects of Supply Shocks: Evidence and Theoretical Interpretation," Working Papers in Public Economics 131, Department of Economics and Law, Sapienza University of Roma.
  96. Sean Holly & Ivan Petrella, 2008. "Factor demand linkages and the business cycle: interpreting aggregate fluctuations as sectoral fluctuations," CDMA Conference Paper Series 0809, Centre for Dynamic Macroeconomic Analysis.
  97. Khan, Hashmat & Metaxoglou, Konstantinos & Knittel, Christopher R. & Papineau, Maya, 2019. "Carbon emissions and business cycles," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 1-19.
  98. Theodoridis, Konstantinos, 2011. "An efficient minimum distance estimator for DSGE models," Bank of England working papers 439, Bank of England.
  99. Ghent, Andra, 2006. "Comparing Models of Macroeconomic Fluctuations: How Big Are the Differences?," MPRA Paper 180, University Library of Munich, Germany.
  100. 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.
  101. Luca Guerrieri & Dale Henderson & Jinill Kim, 2020. "Interpreting shocks to the relative price of investment with a two‐sector model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(1), pages 82-98, January.
  102. 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.
  103. Mandelman, Federico S. & Zanetti, Francesco, 2014. "Flexible prices, labor market frictions and the response of employment to technology shocks," Labour Economics, Elsevier, vol. 26(C), pages 94-102.
  104. Martial Dupaigne & Patrick Fève, 2010. "Hours Worked and Permanent Technology Shocks in Open Economies," Open Economies Review, Springer, vol. 21(1), pages 69-86, February.
  105. Chaudourne, Jeremy & Fève, Patrick & Guay, Alain, 2014. "Understanding the effect of technology shocks in SVARs with long-run restrictions," Journal of Economic Dynamics and Control, Elsevier, vol. 41(C), pages 154-172.
  106. Avouyi-Dovi, S. & Matheron, J., 2005. "Technology Shocks and Monetary Policy in an Estimated Sticky Price Model of the US Economy," Working papers 123, Banque de France.
  107. Fève, Patrick & Matheron, Julien & Sahuc, Jean-Guillaume, 2007. "Optimal Monetary Policy and Technological Shocks in the Post-War US Business Cycle," IDEI Working Papers 484, Institut d'Économie Industrielle (IDEI), Toulouse.
  108. Renee Fry & Adrian Pagan, 2005. "Some Issues In Using Vars For Macroeconometric Research," CAMA Working Papers 2005-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  109. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2004. "A Critique of Structural VARs Using Real Business Cycle Theory," Levine's Bibliography 122247000000000518, UCLA Department of Economics.
  110. ZHANG Wei-Bin, 2015. "Values Of Land And Renewable Resources In A Three-Sector Economic Growth Model," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 10(1), pages 156-186, April.
  111. Ida Wolden Bache, 2008. "Assessing estimates of the exchange rate pass-through," Working Paper 2007/12, Norges Bank.
  112. Francesco Giuli & Massimiliano Tancioni, 2012. "Prince-setting, monetary policy and the contractionary effects of productivity improvements," Departmental Working Papers of Economics - University 'Roma Tre' 0161, Department of Economics - University Roma Tre.
  113. Fabio Canova & David Lopez-Salido & Claudio Michelacci, 2010. "The effects of technology shocks on hours and output: a robustness analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 755-773.
  114. Keating, John W. & Valcarcel, Victor J., 2017. "What's so great about the Great Moderation?," Journal of Macroeconomics, Elsevier, vol. 51(C), pages 115-142.
  115. Fabio Canova & David Lopez-Salido & Claudio Michelacci, 2006. "Schumpeterian technology shocks," Economics Working Papers 1012, Department of Economics and Business, Universitat Pompeu Fabra, revised Nov 2007.
  116. Hashmat Khan & John Tsoukalas, 2005. "Technology Shocks and UK Business Cycles," Macroeconomics 0512006, University Library of Munich, Germany.
  117. Jeong-Joon Lee, 2006. "The Adjusted Solow Residual and Asset Returns (Subsequently published in "Eastern Economic Journal", 2007, 33,(2), pp. 231-255. )," CARF F-Series CARF-F-056, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
  118. Hikaru Saijo, 2019. "Technology Shocks and Hours Revisited: Evidence from Household Data," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 31, pages 347-362, January.
  119. Hashmat Khan & Bae-Geun Kim, 2011. "The Effects of Permanent Markup Shocks in Canada – revised version: Markups and Oil Prices in Canada (12 October 2012)," Carleton Economic Papers 11-06, Carleton University, Department of Economics, revised 12 Oct 2012.
  120. Jeong-Joon Lee, 2007. "The Adjusted Solow Residual and Asset Returns," Eastern Economic Journal, Eastern Economic Association, vol. 33(2), pages 231-255, Spring.
  121. Ms. Silvia Sgherri, 2005. "Long-Run Productivity Shifts and Cyclical Fluctuations: Evidence for Italy," IMF Working Papers 2005/228, International Monetary Fund.
  122. Bordo, Michael & Erceg, Christopher & Levin, Andrew & Michaels, Ryan, 2017. "Policy credibility and alternative approaches to disinflation," Research in Economics, Elsevier, vol. 71(3), pages 422-440.
  123. Giuli, Francesco & Tancioni, Massimiliano, 2012. "Real rigidities, productivity improvements and investment dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 100-118.
  124. Giancarlo Corsetti & Luca Dedola & Sylvain Leduc, 2007. "Productivity and the dollar," Working Paper Series 2007-27, Federal Reserve Bank of San Francisco.
  125. Velinov, Anton & Chen, Wenjuan, 2015. "Do stock prices reflect their fundamentals? New evidence in the aftermath of the financial crisis," Journal of Economics and Business, Elsevier, vol. 80(C), pages 1-20.
  126. Gilhooly, Robert & Weale, Martin & Wieladek, Tomasz, 2015. "Estimation of short dynamic panels in the presence of cross-sectional dependence and dynamic eterogeneity," Discussion Papers 38, Monetary Policy Committee Unit, Bank of England.
  127. Marianna Riggi & Massimiliano Tancioni, 2008. "Nominal v. Real Wage Rigidities in New Keynesian Models with Hiring Costs," Working Papers in Public Economics 107, Department of Economics and Law, Sapienza University of Roma.
  128. Wei-Bin ZHANG, 2014. "Human Capital, Wealth, and Renewable Resources," Expert Journal of Economics, Sprint Investify, vol. 2(1), pages 1-20.
  129. Kurmann, Andre, 2007. "VAR-based estimation of Euler equations with an application to New Keynesian pricing," Journal of Economic Dynamics and Control, Elsevier, vol. 31(3), pages 767-796, March.
  130. Forbes, Kristin & Hjortsoe, Ida & Nenova, Tsvetelina, 2017. "Shocks versus structure: explaining differences in exchange rate pass-through across countries and time," Discussion Papers 50, Monetary Policy Committee Unit, Bank of England.
  131. Lindé, Jesper, 2009. "The effects of permanent technology shocks on hours: Can the RBC-model fit the VAR evidence?," Journal of Economic Dynamics and Control, Elsevier, vol. 33(3), pages 597-613, March.
  132. Alice Albonico & Sarantis Kalyvitis & Evi Pappa, 2011. "Real Business Cycles with Capital Maintenance," Quaderni di Dipartimento 147, University of Pavia, Department of Economics and Quantitative Methods.
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