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Citations for "Lobbies and Technology Diffusion"

by Diego Comin & Bart Hobijn

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  1. Diego A. Comin & Bart Hobijn, 2009. "The CHAT Dataset," Harvard Business School Working Papers 10-035, Harvard Business School.
  2. Gino Gancia & Andreas Müller & Fabrizio Zilibotti, 2010. "Structural Development Accounting," Working Papers 494, Barcelona Graduate School of Economics.
  3. Francesco Daveri & Maria Laura Parisi, 2010. "Experience, Innovation and Productivity - Empirical Evidence from Italy's Slowdown," CESifo Working Paper Series 3123, CESifo Group Munich.
  4. Luca Anderlini & Leonardo Felli & Giovanni Immordino & Alessandro Riboni, 2013. "Legal Institutions, Innovation, And Growth," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54, pages 937-956, 08.
  5. Comin, Diego & Mestieri, Martí, 2014. "Technology Diffusion: Measurement, Causes, and Consequences," Handbook of Economic Growth,in: Handbook of Economic Growth, edition 1, volume 2, chapter 2, pages 565-622 Elsevier.
  6. Alberto Alesina & Joseph Zeira, 2006. "Technology and Labor Regulations," NBER Working Papers 12581, National Bureau of Economic Research, Inc.
  7. Diego Comin & Bart Hobijn, 2011. "Technology Diffusion and Postwar Growth," NBER Chapters,in: NBER Macroeconomics Annual 2010, Volume 25, pages 209-246 National Bureau of Economic Research, Inc.
  8. repec:eee:eecrev:v:94:y:2017:i:c:p:126-147 is not listed on IDEAS
  9. Diego Comin & Bart Hobijn, 2010. "An Exploration of Technology Diffusion," American Economic Review, American Economic Association, vol. 100(5), pages 2031-2059, December.
  10. Diego Comin & Bart Hobijn & Emilie Rovito, 2008. "Technology usage lags," Journal of Economic Growth, Springer, vol. 13(4), pages 237-256, December.
  11. Diego Comin & William Easterly & Erick Gong, 2010. "Was the Wealth of Nations Determined in 1000 BC?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(3), pages 65-97, July.
  12. Bellettini, Giorgio & Berti Ceroni, Carlotta & Prarolo, Giovanni, 2013. "Political persistence and economic growth," European Journal of Political Economy, Elsevier, vol. 31(C), pages 165-179.
  13. Sampson, Thomas, 2013. "Brain drain or brain gain? Technology diffusion and learning on-the-job," Journal of International Economics, Elsevier, vol. 90(1), pages 162-176.
  14. Thomas Sampson, 2012. "Brain drain or brain gain? Technology diffusion and learning on-the-job," LSE Research Online Documents on Economics 51503, London School of Economics and Political Science, LSE Library.
  15. Galang, Roberto Martin N., 2014. "Divergent diffusion: Understanding the interaction between institutions, firms, networks and knowledge in the international adoption of technology," Journal of World Business, Elsevier, vol. 49(4), pages 512-521.
  16. Diego A. Comin & Bart Hobijn & Emilie Rovito, 2006. "World Technology Usage Lags," NBER Working Papers 12677, National Bureau of Economic Research, Inc.
  17. Venturini, Francesco, 2012. "Looking into the black box of Schumpeterian growth theories: An empirical assessment of R&D races," European Economic Review, Elsevier, vol. 56(8), pages 1530-1545.
  18. Thomas Sampson, 2012. "Brain Drain or Brain Gain? Technology Diffusion and Learning On-the-job," CEP Discussion Papers dp1168, Centre for Economic Performance, LSE.
  19. Thor Berger & Carl Benedikt Frey, 2016. "Structural Transformation in the OECD: Digitalisation, Deindustrialisation and the Future of Work," OECD Social, Employment and Migration Working Papers 193, OECD Publishing.
  20. Peter Linquiti & Nathan Cogswell, 2016. "The Carbon Ask: effects of climate policy on the value of fossil fuel resources and the implications for technological innovation," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 6(4), pages 662-676, December.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.