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The Return to R&D and Seller-buyer Interactions: A Quantile Regression Approach

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    In this paper we analyze whether a firm’s return to its R&D stock is affected by seller-buyer interactions. We suggest that firms that are in close contact with their customers will be relatively more sensitive to their customers’ needs, and therefore adjust their R&D activities accordingly. This, in turn, will boost sales and increase the return to R&D. To the extent that seller-buyer interactions are costly, large and productive firms will have an advantage in overcoming such costs. We test these hypotheses using a fixed effects quantile regression framework. Results suggest that large firms active in industries characterized by frequent seller-buyer interactions have a higher return to R&D than other firms.

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    File URL: http://ratio.se/app/uploads/2014/11/ha_we_seller_buyer_interaction_231.pdf
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    Paper provided by The Ratio Institute in its series Ratio Working Papers with number 231.

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    Length: 33 pages
    Date of creation: 09 Jun 2014
    Date of revision:
    Handle: RePEc:hhs:ratioi:0231
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    1. Strieborny Martin & Kukenova Madina, 2011. "Investment in Relationship-Specific Assets: Does Finance Matter ?," Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) 11.01, Université de Lausanne, Faculté des HEC, DEEP.
    2. Bartelsmann, Eric & Dobbelaere, Sabien & Peters, Bettina, 2014. "Allocation of human capital and innovation at the frontier: Firm-level evidence on Germany and the Netherlands," ZEW Discussion Papers 14-064, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    3. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    4. Ming‐Yuan Leon Li & Nen‐Chen Richard Hwang, 2011. "Effects of Firm Size, Financial Leverage and R&D Expenditures on Firm Earnings: An Analysis Using Quantile Regression Approach," Abacus, Accounting Foundation, University of Sydney, vol. 47(2), pages 182-204, 06.
    5. Paul Nightingale & Alex Coad, 2014. "Muppets and gazelles: political and methodological biases in entrepreneurship research," Industrial and Corporate Change, Oxford University Press, vol. 23(1), pages 113-143, February.
    6. Coad, Alex & Rao, Rekha, 2008. "Innovation and firm growth in high-tech sectors: A quantile regression approach," Research Policy, Elsevier, vol. 37(4), pages 633-648, May.
    7. Link, Albert N, 1981. "Basic Research and Productivity Increase in Manufacturing: Additional Evidence," American Economic Review, American Economic Association, vol. 71(5), pages 1111-12, December.
    8. Melitz, Marc J, 2002. "The Impact of Trade on Intra-Industry Reallocations and Aggregate Industry Productivity," CEPR Discussion Papers 3381, C.E.P.R. Discussion Papers.
    9. James Levinsohn & Amil Petrin, 2000. "Estimating Production Functions Using Inputs to Control for Unobservables," NBER Working Papers 7819, National Bureau of Economic Research, Inc.
    10. Amil Petrin & Brian P. Poi & James Levinsohn, 2004. "Production function estimation in Stata using inputs to control for unobservables," Stata Journal, StataCorp LP, vol. 4(2), pages 113-123, June.
    11. Bronwyn H. Hall & Jacques Mairesse, 1992. "Exploring the Relationship Between R&D and Productivity in French Manufacturing Firms," NBER Working Papers 3956, National Bureau of Economic Research, Inc.
    12. Mansfield, Edwin, et al, 1977. "Social and Private Rates of Return from Industrial Innovations," The Quarterly Journal of Economics, MIT Press, vol. 91(2), pages 221-40, May.
    13. Geroski, P. A. & Van Reenen, J. & Walters, C. F., 1997. "How persistently do firms innovate?," Research Policy, Elsevier, vol. 26(1), pages 33-48, March.
    14. Ferguson, Shon & Formai, Sara, 2012. "Institution-Driven Comparative Advantage and Organizational Choice," Working Paper Series 925, Research Institute of Industrial Economics.
    15. Mahmut Yasar & Carl H. Nelson & Roderick Rejesus, 2003. "Productivity and Exporting Status of Manufacturing Firms: Evidence from Quantile Regressions," Emory Economics 0323, Department of Economics, Emory University (Atlanta).
    16. Zvi Griliches, 1979. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 92-116, Spring.
    17. Griffith, Rachel & Redding, Stephen J. & Van Reenen, John, 2000. "Mapping The Two Faces Of R&D: Productivity Growth In A Panel Of OECD Industries," CEPR Discussion Papers 2457, C.E.P.R. Discussion Papers.
    18. Rauch, James E., 1999. "Networks versus markets in international trade," Journal of International Economics, Elsevier, vol. 48(1), pages 7-35, June.
    19. Markus Eberhardt & Christian Helmers & Hubert Strauss, 2013. "Do Spillovers Matter When Estimating Private Returns to R&D?," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 436-448, May.
    20. Tingvall, Patrik Gustavsson & Poldahl, Andreas, 2011. "Determinants of Firm R&D: The Role of Relationship-specific Interactions for R&D Spillovers," Working Paper Series in Economics and Institutions of Innovation 251, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    21. Acs, Zoltan J & Audretsch, David B, 1988. "Innovation in Large and Small Firms: An Empirical Analysis," American Economic Review, American Economic Association, vol. 78(4), pages 678-90, September.
    22. Andreia Cardoso & Aurora A.C. Teixeira, 2009. "Returns on R&D investment: A comprehensive survey on the magnitude and evaluation methodologies," UITT Working Papers 2009-03-wp1, INESC Porto, Unidade de Inovação e Transferência de Tecnologia(UITT).
    23. H. Bulut & G. Moschini, 2009. "US universities' net returns from patenting and licensing: a quantile regression analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 18(2), pages 123-137.
    24. Luigi Aldieri & Michele Cincera & Antonio Garofalo & Concetto Paolo Vinci, 2008. "Micro evidence of the effects of R and D on labour productivity for large international R and D firms," ULB Institutional Repository 2013/111933, ULB -- Universite Libre de Bruxelles.
    25. Alex Coad & Werner Hölzl, 2010. "Firm Growth: Empirical Analysis," WIFO Working Papers 361, WIFO.
    26. Bernd Ebersberger & Orietta Marsili & Toke Reichstein & Ammon Salter, 2010. "Into thin air: using a quantile regression approach to explore the relationship between R&D and innovation," International Review of Applied Economics, Taylor & Francis Journals, vol. 24(1), pages 95-102.
    27. Carlo Altomonte & Gabor Bekes, 2009. "Trade Complexity and Productivity," IEHAS Discussion Papers 0914, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.
    28. Luuk Klomp & George Van Leeuwen, 2001. "Linking Innovation and Firm Performance: A New Approach," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 8(3), pages 343-364.
    29. Alex Coad & Rekha Rao, 2006. "Innovation and market value: a quantile regression analysis," Economics Bulletin, AccessEcon, vol. 15(13), pages 1-10.
    30. Ivan A. Canay, 2011. "A simple approach to quantile regression for panel data," Econometrics Journal, Royal Economic Society, vol. 14(3), pages 368-386, October.
    31. Wakelin, Katharine, 2001. "Productivity growth and R&D expenditure in UK manufacturing firms," Research Policy, Elsevier, vol. 30(7), pages 1079-1090, August.
    32. Cohen, Wesley M & Klepper, Steven, 1996. "A Reprise of Size and R&D," Economic Journal, Royal Economic Society, vol. 106(437), pages 925-51, July.
    33. Börje, Johansson & Hans, Lööf, 2010. "Innovation Strategy and Firm Performance What is the long-run impact of persistent R&D?," Working Paper Series in Economics and Institutions of Innovation 240, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    34. Nathan Nunn, 2007. "Relationship-Specificity, Incomplete Contracts, and the Pattern of Trade," The Quarterly Journal of Economics, MIT Press, vol. 122(2), pages 569-600, 05.
    35. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," Review of Economic Studies, Oxford University Press, vol. 70(2), pages 317-341.
    36. David B. Audretsch & Taylor Aldridge & Alexander Oettl, 2006. "The Knowledge Filter and Economic Growth: The Role of Scientist Entrepreneurship," Papers on Entrepreneurship, Growth and Public Policy 2006-11, Max Planck Institute of Economics, Entrepreneurship, Growth and Public Policy Group.
    37. Martin Falk, 2012. "Quantile estimates of the impact of R&D intensity on firm performance," Small Business Economics, Springer, vol. 39(1), pages 19-37, July.
    38. Lorenzo Casaburi & Valeria Gattai, 2009. "Why FDI? An Empirical Assessment Based on Contractual Incompleteness and Dissipation of Intangible Assets," Working Papers 164, University of Milano-Bicocca, Department of Economics, revised Jul 2009.
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