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Perspectives on Innovation


  • Malerba,Franco
  • Brusoni,Stefano


Innovation has become a major field of study in economics, management, sociology, science and technology, and history. Case studies, empirical models, appreciative analyses and formal theories abound. However, after several decades of study on innovation, and so many different types of contribution, there are still many phenomena we know very little about. The debate on innovation still has much to deliver; important questions remain unanswered and many problems require solution. Bringing together many leading figures in the field, this collection aims to address these concerns by offering detailed analyses of topics that are crucial for understanding innovation. In addition, it offers discussions of topics that researchers are just beginning to explore and of topics that continue to defy our efforts to understand and systematise. This important and wide-ranging collection will be essential reading for academic researchers and graduate students who wish to gain a broad overview of frontier-research in innovation.

Suggested Citation

  • Malerba,Franco & Brusoni,Stefano (ed.), 2007. "Perspectives on Innovation," Cambridge Books, Cambridge University Press, number 9780521866644, May.
  • Handle: RePEc:cup:cbooks:9780521866644

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    References listed on IDEAS

    1. Eide, Eric & Showalter, Mark H., 1998. "The effect of school quality on student performance: A quantile regression approach," Economics Letters, Elsevier, vol. 58(3), pages 345-350, March.
    2. James M. Poterba & Kim S. Rueben, 1994. "The Distribution of Public Sector Wage Premia: New Evidence Using Quantile Regression Methods," NBER Working Papers 4734, National Bureau of Economic Research, Inc.
    3. Čížek, Pavel, 1999. "Quantile regression," SFB 373 Discussion Papers 1999,78, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    4. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
    5. Omar Arias & Walter Sosa-Escudero & Kevin F. Hallock, 2001. "Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data," Empirical Economics, Springer, vol. 26(1), pages 7-40.
    6. Amanda Gosling & Stephen Machin & Costas Meghir, 2000. "The Changing Distribution of Male Wages in the U.K," Review of Economic Studies, Oxford University Press, vol. 67(4), pages 635-666.
    7. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    8. Angel López-Nicolás & Jaume García & Pedro J. Hernández, 2001. "How wide is the gap? An investigation of gender wage differences using quantile regression," Empirical Economics, Springer, vol. 26(1), pages 149-167.
    9. Trede, Mark, 1998. "Making mobility visible: a graphical device," Economics Letters, Elsevier, vol. 59(1), pages 77-82, April.
    10. Alberto Abadie & Joshua D. Angrist & Guido W. Imbens, 1998. "Instrumental Variables Estimation of Quantile Treatment Effects," NBER Technical Working Papers 0229, National Bureau of Economic Research, Inc.
    11. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
    12. Kahn, Lawrence M, 1998. "Collective Bargaining and the Interindustry Wage Structure: International Evidence," Economica, London School of Economics and Political Science, vol. 65(260), pages 507-534, November.
    13. Manning, Willard G. & Blumberg, Linda & Moulton, Lawrence H., 1995. "The demand for alcohol: The differential response to price," Journal of Health Economics, Elsevier, vol. 14(2), pages 123-148, June.
    14. Jason Abrevaya, 2001. "The effects of demographics and maternal behavior on the distribution of birth outcomes," Empirical Economics, Springer, vol. 26(1), pages 247-257.
    15. Moshe Buchinsky, 1998. "The dynamics of changes in the female wage distribution in the USA: a quantile regression approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(1), pages 1-30.
    16. Shih-Kang Chao & Wolfgang Karl Härdle & Weining Wang, 2012. "Quantile Regression in Risk Calibration," SFB 649 Discussion Papers SFB649DP2012-006, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
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    Cited by:

    1. Dosi, Giovanni & Fagiolo, Giorgio & Napoletano, Mauro & Roventini, Andrea, 2013. "Income distribution, credit and fiscal policies in an agent-based Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1598-1625.
    2. Dosi, Giovanni & Fagiolo, Giorgio & Napoletano, Mauro & Roventini, Andrea & Treibich, Tania, 2015. "Fiscal and monetary policies in complex evolving economies," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 166-189.
    3. repec:oup:indcch:v:26:y:2017:i:2:p:187-210. is not listed on IDEAS
    4. Giovanni Dosi & Marcelo C. Pereira & Maria Enrica Virgillito, 2017. "The footprint of evolutionary processes of learning and selection upon the statistical properties of industrial dynamics," Industrial and Corporate Change, Oxford University Press, vol. 26(2), pages 187-210.
    5. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Tania Treibich, 2014. "The Short-and Long-Run Damages of Fiscal Austerity: Keynes beyond Schumpeter," Sciences Po publications 22, Sciences Po.
    6. repec:spo:wpecon:info:hdl:2441/eu4vqp9ompqllr09j0h130d0n is not listed on IDEAS
    7. repec:wsi:ijitmx:v:14:y:2017:i:06:n:s0219877017500316 is not listed on IDEAS
    8. Giovanni Dosi & Marcelo C. Pereira & Maria Enrica Virgillito, 2016. "On the robustness of the fat-tailed distribution of firm growth rates: a global sensitivity analysis," LEM Papers Series 2016/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. repec:spo:wpecon:info:hdl:2441/f6h8764enu2lskk9p6go0e900 is not listed on IDEAS

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