IDEAS home Printed from https://ideas.repec.org/p/luc/wpaper/19-18.html
   My bibliography  Save this paper

Labor Market Effects of Technology Shocks Biased Toward the Traded Sector

Author

Listed:
  • Luisito Bertinelli

    (CREA, Université du Luxembourg)

  • Olivier Cardi

    (Lancaster University Management School, UK)

  • Romain Restout

    (Université de Lorraine (CNRS UMR 7522), Nancy, F)

Abstract

Motivated by recent evidence pointing at an increasing contribution of asymmetric shocks across sectors to economic fluctuations, we explore the sectoral composition ef- fects of technology shocks biased toward the traded sector. Using a panel of seventeen OECD countries over the period 1970-2013, our VAR evidence reveals that a perma- nent increase in traded relative to non-traded TFP lowers the traded hours worked share by shifting labor toward the non-traded sector, and has an expansionary effect on the labor income share in both sectors. Our quantitative analysis shows that the open economy version of the neoclassical model can reproduce the reallocation and redistributive effects we document empirically once we allow for technological change biased toward labor together with additional specific elements. Calibrating the model to country-specific data, the model can account for the cross-country dispersion in the reallocation and redistributive effects we document empirically once we let factor-biased technological change vary across sectors and between countries. Finally, we document evidence which supports our hypothesis of factor-biased technological change as we find empirically that countries where capital-intensive industries contribute more to the in- crease in traded TFP are those where capital relative to labor efficiency increases. Keywords: Sectoral technology shocks; factor-augmenting efficiency; Open economy; Labor reallocation across sectors; CES production function; Labor income share.

Suggested Citation

  • Luisito Bertinelli & Olivier Cardi & Romain Restout, 2019. "Labor Market Effects of Technology Shocks Biased Toward the Traded Sector," DEM Discussion Paper Series 19-18, Department of Economics at the University of Luxembourg.
  • Handle: RePEc:luc:wpaper:19-18
    as

    Download full text from publisher

    File URL: https://wwwen-archive.uni.lu/content/download/122871/1423738/file/2019_18%20%20Labor%20Market%20Effects%20of%20Technology%20Shocks%20Biased%20Toward%20the%20Traded%20Sector.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Berthold Herrendorf & Christopher Herrington & Ákos Valentinyi, 2015. "Sectoral Technology and Structural Transformation," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(4), pages 104-133, October.
    3. Mendoza, Enrique G, 1995. "The Terms of Trade, the Real Exchange Rate, and Economic Fluctuations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 36(1), pages 101-137, February.
    4. Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2011. "Sectoral versus Aggregate Shocks: A Structural Factor Analysis of Industrial Production," Journal of Political Economy, University of Chicago Press, vol. 119(1), pages 1-38.
    5. Backus, David K & Kehoe, Patrick J & Kydland, Finn E, 1994. "Dynamics of the Trade Balance and the Terms of Trade: The J-Curve?," American Economic Review, American Economic Association, vol. 84(1), pages 84-103, March.
    6. Jean Imbs & Isabelle Mejean, 2015. "Elasticity Optimism," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(3), pages 43-83, July.
    7. 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.
    8. Cristiano Cantore & Miguel León-Ledesma & Peter McAdam & Alpo Willman, 2014. "Shocking Stuff: Technology, Hours, And Factor Substitution," Journal of the European Economic Association, European Economic Association, vol. 12(1), pages 108-128, February.
    9. Antràs Pol, 2004. "Is the U.S. Aggregate Production Function Cobb-Douglas? New Estimates of the Elasticity of Substitution," The B.E. Journal of Macroeconomics, De Gruyter, vol. 4(1), pages 1-36, April.
    10. Cardi, Olivier & Restout, Romain, 2023. "Sectoral fiscal multipliers and technology in open economy," Journal of International Economics, Elsevier, vol. 144(C).
    11. Margarida Duarte & Diego Restuccia, 2010. "The Role of the Structural Transformation in Aggregate Productivity," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 129-173.
    12. Tang, Heiwai, 2012. "Labor market institutions, firm-specific skills, and trade patterns," Journal of International Economics, Elsevier, vol. 87(2), pages 337-351.
    13. Hansen, Lars Peter & Singleton, Kenneth J, 1983. "Stochastic Consumption, Risk Aversion, and the Temporal Behavior of Asset Returns," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 249-265, April.
    14. Francisco Alvarez-Cuadrado & Goncalo Monteiro & Stephen J. Turnovsky, 2004. "Habit Formation, Catching Up with the Joneses, and Economic Growth," Journal of Economic Growth, Springer, vol. 9(1), pages 47-80, March.
    15. Arellano, Cristina & Bai, Yan & Mihalache, Gabriel, 2018. "Default risk, sectoral reallocation, and persistent recessions," Journal of International Economics, Elsevier, vol. 112(C), pages 182-199.
    16. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2004. "The Response of Hours to a Technology Shock: Evidence Based on Direct Measures of Technology," Journal of the European Economic Association, MIT Press, vol. 2(2-3), pages 381-395, 04/05.
    17. Miguel A. León-Ledesma & Peter McAdam & Alpo Willman, 2010. "Identifying the Elasticity of Substitution with Biased Technical Change," American Economic Review, American Economic Association, vol. 100(4), pages 1330-1357, September.
    18. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    19. Loukas Karabarbounis, 2014. "The Labor Wedge: MRS vs. MPN," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(2), pages 206-223, April.
    20. 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.
    21. Luca Fornaro, 2018. "International Debt Deleveraging," Journal of the European Economic Association, European Economic Association, vol. 16(5), pages 1394-1432.
    22. Thomas F. Crossley & Hamish W. Low, 2011. "Is The Elasticity Of Intertemporal Substitution Constant?," Journal of the European Economic Association, European Economic Association, vol. 9(1), pages 87-105, February.
    23. Jody Overland & Christopher D. Carroll & David N. Weil, 2000. "Saving and Growth with Habit Formation," American Economic Review, American Economic Association, vol. 90(3), pages 341-355, June.
    24. Cardi, Olivier & Restout, Romain & Claeys, Peter, 2020. "Imperfect mobility of labor across sectors and fiscal transmission," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    25. De Gregorio, Jose & Giovannini, Alberto & Wolf, Holger C., 1994. "International evidence on tradables and nontradables inflation," European Economic Review, Elsevier, vol. 38(6), pages 1225-1244, June.
    26. Stockman, Alan C & Tesar, Linda L, 1995. "Tastes and Technology in a Two-Country Model of the Business Cycle: Explaining International Comovements," American Economic Review, American Economic Association, vol. 85(1), pages 168-185, March.
    27. Jonathan D. Ostry & Carmen M. Reinhart, 1992. "Private Saving and Terms of Trade Shocks: Evidence from Developing Countries," IMF Staff Papers, Palgrave Macmillan, vol. 39(3), pages 495-517, September.
    28. Imbs, Jean M., 1999. "Technology, growth and the business cycle," Journal of Monetary Economics, Elsevier, vol. 44(1), pages 65-80, August.
    29. Gianluca Benigno & Luca Fornaro, 2014. "The Financial Resource Curse," Scandinavian Journal of Economics, Wiley Blackwell, vol. 116(1), pages 58-86, January.
    30. Attanasio, Orazio P & Weber, Guglielmo, 1995. "Is Consumption Growth Consistent with Intertemporal Optimization? Evidence from the Consumer Expenditure Survey," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1121-1157, December.
    31. Pierre-Olivier Gourinchas & Jonathan A. Parker, 2002. "Consumption Over the Life Cycle," Econometrica, Econometric Society, vol. 70(1), pages 47-89, January.
    32. Luca Gambetti & Jordi Galí, 2009. "On the Sources of the Great Moderation," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(1), pages 26-57, January.
    33. 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.
    34. Orazio P. Attanasio & Guglielmo Weber, 2010. "Consumption and Saving: Models of Intertemporal Allocation and Their Implications for Public Policy," Journal of Economic Literature, American Economic Association, vol. 48(3), pages 693-751, September.
    35. Roel Beetsma & Massimo Giuliodori, 2011. "The Effects of Government Purchases Shocks: Review and Estimates for the EU," Economic Journal, Royal Economic Society, vol. 121(550), pages 4-32, February.
    36. 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.
    37. repec:hal:pseose:hal-01301577 is not listed on IDEAS
    38. L. Rachel Ngai & Christopher A. Pissarides, 2007. "Structural Change in a Multisector Model of Growth," American Economic Review, American Economic Association, vol. 97(1), pages 429-443, March.
    39. 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.
    40. Robert Shimer, 2009. "Convergence in Macroeconomics: The Labor Wedge," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(1), pages 280-297, January.
    41. Ravi Bansal & Dana Kiku & Amir Yaron, 2010. "Long Run Risks, the Macroeconomy, and Asset Prices," American Economic Review, American Economic Association, vol. 100(2), pages 542-546, May.
    42. Bajzik, Josef & Havranek, Tomas & Irsova, Zuzana & Schwarz, Jiri, 2020. "Estimating the Armington elasticity: The importance of study design and publication bias," Journal of International Economics, Elsevier, vol. 127(C).
    43. Daron Acemoglu & Veronica Guerrieri, 2008. "Capital Deepening and Nonbalanced Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 116(3), pages 467-498, June.
    44. Ezra Oberfield & Devesh Raval, 2021. "Micro Data and Macro Technology," Econometrica, Econometric Society, vol. 89(2), pages 703-732, March.
    45. Francis, Neville & Ramey, Valerie A., 2005. "Is the technology-driven real business cycle hypothesis dead? Shocks and aggregate fluctuations revisited," Journal of Monetary Economics, Elsevier, vol. 52(8), pages 1379-1399, November.
    46. Douglas Gollin, 2002. "Getting Income Shares Right," Journal of Political Economy, University of Chicago Press, vol. 110(2), pages 458-474, April.
    47. Ariel T. Burstein & João C. Neves & Sergio Rebelo, 2004. "Investment Prices and Exchange Rates: Some Basic Facts," Journal of the European Economic Association, MIT Press, vol. 2(2-3), pages 302-309, 04/05.
    48. Fabrice Collard & Harris Dellas, 2007. "Technology Shocks and Employment," Economic Journal, Royal Economic Society, vol. 117(523), pages 1436-1459, October.
    49. Janice Eberly & Sergio Rebelo & Nicolas Vincent, 2008. "Investment and Value: A Neoclassical Benchmark," Cahiers de recherche 08-03, HEC Montréal, Institut d'économie appliquée.
    50. Margarida Duarte & Diego Restuccia, 2020. "Relative Prices and Sectoral Productivity," Journal of the European Economic Association, European Economic Association, vol. 18(3), pages 1400-1443.
    51. Christopher J. Erceg & Luca Guerrieri & Christopher Gust, 2005. "Can Long-Run Restrictions Identify Technology Shocks?," Journal of the European Economic Association, MIT Press, vol. 3(6), pages 1237-1278, December.
    52. de Cordoba, Gonzalo Fernandez & Kehoe, Timothy J., 2000. "Capital flows and real exchange rate fluctuations following Spain's entry into the European Community," Journal of International Economics, Elsevier, vol. 51(1), pages 49-78, June.
    53. Martin S. Eichenbaum & Lars Peter Hansen & Kenneth J. Singleton, 1988. "A Time Series Analysis of Representative Agent Models of Consumption and Leisure Choice Under Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 103(1), pages 51-78.
    54. Timothy J. Kehoe & Kim J. Ruhl & Joseph B. Steinberg, 2018. "Global Imbalances and Structural Change in the United States," Journal of Political Economy, University of Chicago Press, vol. 126(2), pages 761-796.
    55. Rafael Dix‐Carneiro, 2014. "Trade Liberalization and Labor Market Dynamics," Econometrica, Econometric Society, vol. 82(3), pages 825-885, May.
    56. Karel Mertens & Morten O. Ravn, 2011. "Technology-Hours Redux: Tax Changes and the Measurement of Technology Shocks," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 7(1), pages 41-76.
    57. Riccardo Fiorito & Giulio Zanella, 2012. "The Anatomy of the Aggregate Labor Supply Elasticity," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(2), pages 171-187, April.
    58. Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
    59. 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.
    60. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    61. Inklaar, Robert & Diewert, W. Erwin, 2016. "Measuring industry productivity and cross-country convergence," Journal of Econometrics, Elsevier, vol. 191(2), pages 426-433.
    62. 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.
    63. Galí, Jordi & Rabanal, Pau, 2004. "Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Post-War US Data?," CEPR Discussion Papers 4522, C.E.P.R. Discussion Papers.
    64. Long, John B, Jr & Plosser, Charles I, 1983. "Real Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 91(1), pages 39-69, February.
    65. 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.
    66. Kehoe, Timothy J. & Ruhl, Kim J., 2009. "Sudden stops, sectoral reallocations, and the real exchange rate," Journal of Development Economics, Elsevier, vol. 89(2), pages 235-249, July.
    67. Gabriel Chodorow-Reich & Loukas Karabarbounis & Rohan Kekre, 2023. "The Macroeconomics of the Greek Depression," American Economic Review, American Economic Association, vol. 113(9), pages 2411-2457, September.
    68. Rainer Klump & Peter McAdam & Alpo Willman, 2007. "Factor Substitution and Factor-Augmenting Technical Progress in the United States: A Normalized Supply-Side System Approach," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 183-192, February.
    69. Robert E. Hall & Charles I. Jones, 1999. "Why do Some Countries Produce So Much More Output Per Worker than Others?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 83-116.
    70. Faust, Jon & Leeper, Eric M, 1997. "When Do Long-Run Identifying Restrictions Give Reliable Results?," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 345-353, July.
    71. Robert S. Chirinko & Debdulal Mallick, 2017. "The Substitution Elasticity, Factor Shares, and the Low-Frequency Panel Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(4), pages 225-253, October.
    72. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    73. Sommer Martin, 2007. "Habit Formation and Aggregate Consumption Dynamics," The B.E. Journal of Macroeconomics, De Gruyter, vol. 7(1), pages 1-25, August.
    74. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    75. Gasper A. Garofalo & Steven Yamarik, 2002. "Regional Convergence: Evidence From A New State-By-State Capital Stock Series," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 316-323, May.
    76. Michael Carlos Best & James S Cloyne & Ethan Ilzetzki & Henrik J Kleven, 2020. "Estimating the Elasticity of Intertemporal Substitution Using Mortgage Notches," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(2), pages 656-690.
    77. Rudolfs Bems, 2008. "Aggregate Investment Expenditures on Tradable and Nontradable Goods," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(4), pages 852-883, October.
    78. David K. Backus & Patrick J. Kehoe & Finn E. Kydland, 1992. "Dynamics of the trade balance and the terms of trade: the J-curve revisited," Discussion Paper / Institute for Empirical Macroeconomics 65, Federal Reserve Bank of Minneapolis.
    79. Bela Balassa, 1964. "The Purchasing-Power Parity Doctrine: A Reappraisal," Journal of Political Economy, University of Chicago Press, vol. 72(6), pages 584-584.
    80. Jonathan D. Ostry & Carmen M. Reinhart, 1992. "Private Saving and Terms of Trade Shocks: Evidence from Developing Countries," IMF Staff Papers, Palgrave Macmillan, vol. 39(3), pages 495-517, September.
    81. Daron Acemoglu, 2003. "Labor- And Capital-Augmenting Technical Change," Journal of the European Economic Association, MIT Press, vol. 1(1), pages 1-37, March.
    82. Harald Uhlig, 2004. "Do Technology Shocks Lead to a Fall in Total Hours Worked?," Journal of the European Economic Association, MIT Press, vol. 2(2-3), pages 361-371, 04/05.
    83. repec:bla:jfinan:v:59:y:2004:i:4:p:1481-1509 is not listed on IDEAS
    84. Julio Garin & Michael J. Pries & Eric R. Sims, 2018. "The Relative Importance of Aggregate and Sectoral Shocks and the Changing Nature of Economic Fluctuations," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(1), pages 119-148, January.
    85. Jonathan Gruber, 2013. "A Tax-Based Estimate of the Elasticity of Intertemporal Substitution," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 3(01), pages 1-20.
    86. William B. Peterman, 2016. "Reconciling Micro And Macro Estimates Of The Frisch Labor Supply Elasticity," Economic Inquiry, Western Economic Association International, vol. 54(1), pages 100-120, January.
    87. Francesco Caselli & Wilbur John Coleman II, 2006. "The World Technology Frontier," American Economic Review, American Economic Association, vol. 96(3), pages 499-522, June.
    88. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    89. Greenwood, Jeremy & Hercowitz, Zvi & Huffman, Gregory W, 1988. "Investment, Capacity Utilization, and the Real Business Cycle," American Economic Review, American Economic Association, vol. 78(3), pages 402-417, June.
    90. Horvath, Michael, 2000. "Sectoral shocks and aggregate fluctuations," Journal of Monetary Economics, Elsevier, vol. 45(1), pages 69-106, February.
    91. Paul Cashin & C. John McDermott, 2003. "Intertemporal Substitution and Terms‐of‐Trade Shocks," Review of International Economics, Wiley Blackwell, vol. 11(4), pages 604-618, September.
    92. Dani Rodrik, 2013. "Unconditional Convergence in Manufacturing," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(1), pages 165-204.
    93. Sandile Hlatshwayo & Michael Spence, 2014. "Demand and Defective Growth Patterns: The Role of the Tradable and Non-tradable Sectors in an Open Economy," American Economic Review, American Economic Association, vol. 104(5), pages 272-277, May.
    94. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
    95. Donghoon Lee & Kenneth I. Wolpin, 2006. "Intersectoral Labor Mobility and the Growth of the Service Sector," Econometrica, Econometric Society, vol. 74(1), pages 1-46, January.
    96. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    97. 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.
    98. Chen, Kaiji & Wemy, Edouard, 2015. "Investment-specific technological changes: The source of long-run TFP fluctuations," European Economic Review, Elsevier, vol. 80(C), pages 230-252.
    99. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    100. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    101. Fernando Galindo-Rueda & Fabien Verger, 2016. "OECD Taxonomy of Economic Activities Based on R&D Intensity," OECD Science, Technology and Industry Working Papers 2016/4, OECD Publishing.
    102. Hansen, Lars Peter & Singleton, Kenneth J, 1982. "Generalized Instrumental Variables Estimation of Nonlinear Rational Expectations Models," Econometrica, Econometric Society, vol. 50(5), pages 1269-1286, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Cardi, Olivier & Restout, Romain, 2023. "Sectoral fiscal multipliers and technology in open economy," Journal of International Economics, Elsevier, vol. 144(C).
    3. Andrea Papetti, 2021. "Population aging, relative prices and capital flows across the globe," Temi di discussione (Economic working papers) 1333, Bank of Italy, Economic Research and International Relations Area.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Olivier Cardi & Romain Restout, 2023. "Why Hours Worked Decline Less after Technology Shocks?Â," Working Papers 396800288, Lancaster University Management School, Economics Department.
    2. Cardi, Olivier & Restout, Romain, 2023. "Sectoral fiscal multipliers and technology in open economy," Journal of International Economics, Elsevier, vol. 144(C).
    3. Cardi, Olivier & Restout, Romain, 2015. "Imperfect mobility of labor across sectors: a reappraisal of the Balassa–Samuelson effect," Journal of International Economics, Elsevier, vol. 97(2), pages 249-265.
    4. Cardi, Olivier & Restout, Romain & Claeys, Peter, 2020. "Imperfect mobility of labor across sectors and fiscal transmission," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    5. BERTINELLI, Luisito & CARDI, Olivier & RESTOUT, Romain, 2020. "Relative Productivity And Search Unemployment In An Open Economy," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
    6. Luisito Bertinelli & Olivier Cardi & Romain Restout, 2015. "Technical Change Biased Toward the Traded Sector and Labor Market Frictions," Working Papers halshs-01252508, HAL.
    7. Rujin, Svetlana, 2024. "Labor market institutions and technology-induced labor adjustment along the extensive and intensive margins," Journal of Macroeconomics, Elsevier, vol. 79(C).
    8. 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.
    9. Michael Knoblach & Fabian Stöckl, 2020. "What Determines The Elasticity Of Substitution Between Capital And Labor? A Literature Review," Journal of Economic Surveys, Wiley Blackwell, vol. 34(4), pages 847-875, September.
    10. 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.
    11. 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.
    12. Jan Trenczek & Konstantin M. Wacker, 2023. "Accounting for cross-country output differences: A sectoral CES perspective," Working Papers 2023.09, International Network for Economic Research - INFER.
    13. 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.
    14. Vikas Kakkar & Isabel Yan, 2012. "Real Exchange Rates and Productivity: Evidence from Asia," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44, pages 301-322, March.
    15. Thomet, Jacqueline & Wegmueller, Philipp, 2021. "Technology Shocks And Hours Worked: A Cross-Country Analysis," Macroeconomic Dynamics, Cambridge University Press, vol. 25(4), pages 1020-1052, June.
    16. Romain Restout, 2009. "The Balassa-Samuelson model in general equilibrium with markup variations," EconomiX Working Papers 2009-39, University of Paris Nanterre, EconomiX.
    17. 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).
    18. Patrick Fève & Alain Guay, 2010. "Identification of Technology Shocks in Structural Vars," Economic Journal, Royal Economic Society, vol. 120(549), pages 1284-1318, December.
    19. Zsofia Barany & Christian Siegel, 2021. "Engines of sectoral labor productivity growth," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 39, pages 304-343, January.
    20. Jorge Carrera & Romain Restout, 2008. "Long Run Determinants of Real Exchange Rates in Latin America," Post-Print halshs-00276402, HAL.

    More about this item

    Keywords

    Sectoral technology shocks; factor-augmenting efficiency; Open economy; Labor reallocation across sectors; CES production function; Labor income share.;
    All these keywords.

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • F11 - International Economics - - Trade - - - Neoclassical Models of Trade
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:luc:wpaper:19-18. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marina Legrand (email available below). General contact details of provider: https://edirc.repec.org/data/crcrplu.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.