Into thin air: Using a quantile regression approach to explore the relationship between R&D and innovation

International Review of Applied Economics

Volumn 24, Issue 1, 2010, Pages 95-102

  Ebersberger, Bernd ^a   Marsili, Orietta ^b   Reichstein, Toke ^c,d   Salter, Ammon ^e  

^a MANAGEMENT CENTER INNSBRUCK   (Austria)

^b Erasmuns University   (Netherlands)

^c Department of International Economics and Management   (Denmark)

^d KEDGE BUSINESS SCHOOL   (France)

^e IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Economic gains from innovation; Quantile regression; R D

Indexed keywords

ECONOMIC ANALYSIS; EXPENDITURE; GAUSSIAN METHOD; INNOVATION; LEAST SQUARES METHOD; QUANTITATIVE ANALYSIS; REGRESSION ANALYSIS; RESEARCH AND DEVELOPMENT;

FINLAND;

EID: 75849116312     PISSN: 02692171     EISSN: 14653486     Source Type: Journal    
DOI: 10.1080/02692170903424448     Document Type: Article

References (26)

1. Barnett, W.P., and J. Freeman. 2001. Too much of a good thing? Product proliferation and organizational failure. Organization Science 12: 5539-558.
2. Belderbos, R., M. Caree, B. Diederen, B. Lokshin, and R. Veuglers. 2004. Heterogeneity in R&D cooperation strategies. International Journal of Industrial Organization 22, no. 8/9: 1237-63.
3. Branch, B. 1974. Research and development activities and profitability: A distributed lag analysis. Journal of Political Economy 82, no. 5: 999-1011.
4. Buchinsky, M. 1998. Recent advances in quantile regression model: A practical guideline for empirical research. Journal of Human Resources 33, no. 1: 88-126.
5. Cassiman, B., and R. Veugelers. 2002. Spillovers and R&D cooperation: Some empirical evidence. American Economic Review 92, no. 4: 1169-84.
6. Cohen, W.M. 1995. Empirical studies of innovative activities. In Handbook of the economics of innovation and technological change, ed. P. Stoneman, 182-264. Oxford: Basil Blackwell.
7. Crépon, B., E. Duguet, and J. Mairesse 1998. Reasearch, innovation and productivity: An empirical analysis at the firm level. NBER working paper 6696, National Bureau of Economic Research, Cambridge, MA.
8. Czarnitzki, D., and K. Kraft. 2004. Innovation indicators and corporate credit ratings: Evidence from German firms. Economics Letters 82, no. 3: 377-84.
9. Grabowski, H.G., and D.C. Mueller. 1978. Industrial research and development, intangible capital stocks, and firm profit rates. Bell Journal of Economics 9, no. 2: 328-43.
10. Griliches, Z. 1990. Patent statistics as economic indicators: A survey. Journal of Economics Literature 28, no. 4: 1661-707.
11. Griliches, Z. 1994. Productivity, R&D, and the data constraint. American Economic Review 84, no. 1: 1-23.
12. Holak, S.L., M.E. Parry, and X.M. Song. 1991. The relationship of R&D/sales to firm performance: An investigation of market contingencies. Journal of Product Innovation Management 8, no. 4: 267-82.
13. Kleinknecht, A., and P. Mohnen, eds. 2002. Innovation and firm performance. Econometric explorations of survey data. New York: Palgrave.
14. Klomp, L., and G. van Leeuwen. 2001. Linking innovation and firm performance: A new approach. International Journal of the Economics of Business 8, no. 3: 343-64.
15. Kocherginsky, M., H. Xuming, and M. Yunming. 2005. Practical confidence intervals for regression quantiles. Journal of Computational and Graphical Statistics 14, no. 1: 41-55.
16. Koenker, R.W. 1994. Confidence intervals for regression quantiles. In Asymptotic statistics, ed. P. Mandl and M. Huskova, 349-59. New York: Springer.
17. Koenker, R.W., and G.J. Bassett. 1978. Regression quantiles. Econometrica 46, no. 1: 33-50.
18. Koenker, R.W., and K.F. Hallock. 2001. Quantile regression. Jorunal of Economic Perspectives 15, no. 4: 143-56.
19. Long, J.S., and L.H. Ervin. 2000. Using heteroscedasticity consistent standard errors in the linear regression model. The American Statistician 54, no. 3: 213-24.
20. MacKinnon, J.G., and H. White. 1985. Some heteroskedasticity consistent covariance matrix estimators with improved finite sample properties. Journal of Econometrics 29, no. 3: 305-25.
21. Mairesse, J., and P. Mohnen. 2002. Accounting for innovation and measuring innovativeness: An illustrative framework and an application. American Economic Review 92, no. 2: 226-31.
22. McKelvey, B., and P. Andriani. 2005. Why Gaussian statistics are mostly wrong for strategic organization. Strategic Organization 3, no. 2: 219-28.
23. OECD. 2001. Science, technology and industry outlook 2001. Paris: OECD.
24. Ravenscraft, D., and F.M. Scherer. 1982. The lag structure of returns to research and development. Applied Economics 14, no. 6: 603-20.
25. Schumpeter, J.A. 1942. Capitalism, socialism and democracy. London: Unwin.
26. Statistics Finland. 2002. Suomen Yritykset 2000. Helsinki: Statistics Finland.