Research, Innovation And Productivity: An Econometric Analysis At The Firm Level

Economics of Innovation and New Technology

Volumn 7, Issue 2, 1998, Pages 115-158

  Crepon, Bruno ^a   Duguet, Emmanuel ^b   Mairessec, Jacques ^c  

^a Institut National de la Statistique et des etudes economiques   (France)

^b UNIVERSITÉ PARIS 1 PANTHÉON SORBONNE   (France)

^c CREST   (France)

Author keywords

Asymptotic least squares; Demand conditions; Innovation; Patent; Productivity; Research; System of limited dependent and qualitative variables; Technological opportunities

Indexed keywords

EID: 85009694052     PISSN: 10438599     EISSN: 14768364     Source Type: Journal    
DOI: 10.1080/10438599800000031     Document Type: Article

References (30)

1. Auzeby F, et J. P. Francois. 1992. L'innovation technologique dans I'industrie. Le Quatre Pages du SESSI
2. Bound, J., Cummins, C., Griliches, Z., Hall, B. H., and Jaffe, A., 1984. “ Who Does R&D and Who Patents? ”. In R&D, Patents and Productivity, National Bureau of Economic Research, Edited by: Griliches, Z., 21–54. Chicago: University of Chicago Press.
3. Bussy, J., Carpentier, C., and Kabla, I., 1996. The Utilisation by French Firms of the European Patent. Insee Studies in Economics and Statistics, 1: 12–28.
4. Chamberlain, G., 1982. Multivariate Regression Models Applied to Panel Data. Journal of Econometrics, 18: 5–46.
5. Cohen W, and R. Levin. 1989. Empirical Studies of R&D and Market Structure, Edited by: Schmalensee, R., and Willig, R., 1059–1107. Amsterdam: North-Holland. Handbook of industrial Organization
6. Cohen W, and S. Klepper. 1996. A Reprise of Size and R&D. The Economic Journal, 106: 925–951.
7. Crépon B, and J. Mairesse. 1993. Recherche et Développement, Edited by: Guellec, D., 181–222. Innovation and Compétitivité. qualification et productivité des entreprises
8. Crépon B. and E. Duguet. 1995, Une bibliothéque de macro-commandes pour I’é- conométrie des variables qualitatives et de comptage. Document de travail CREST 9525.
9. Crépon B, and J. Mairesse. 1996. “ Chamberlain and GMM Estimates: An Overview and Some simulation Experiments ”. In The Econometrics of Panel Data, Edited by: Mathias, L., and Sevestre, P., 321–391. Boston: Kluwer Academic Publishers.
10. Crépon, B., Duguet, E., and Kabla, I., 1996. “ A Moderate Support to Schumpeterian Conjectures from Various Innovation Measures. ”. In Determinants of Innovation: the Message from New Indicators, Edited by: Kleinknecht, A., 63–98. London: Mac Millan Press.
11. Crépon, B., and Duguet, E., 1997. Research and Development, Competition and Innovation: Pseudo Maximum Likelihood and Simulated Maximum Likelihood Methods Applied to Count Data Models with Heterogeneity. Journal of Econometrics, 79: 355–378.
12. Crépon B, and E. Duguet. 1997. Estimating the Innovation Function from Patent Number: GMM on Count Panel Data. Journal of Applied Econometrics, 12: 243–263.
13. Cuneo, P., Mairesse, J., and Griliches, Z., 1984. “ Productivity and Research-Development at the Firm Level in French Manufacturing. ”. In Research and Development, Patents and Productivity, 375–392. Chicago: The University Press of Chicago.
14. Francois, J., 1991. Une enquete sur I'innovation. Courrier des Statistiques, 57
15. Gouriéroux, C., and Monfort, C A., 1996. Statistics and Econometric Models, Cambridge: Cambridge University Press. translated by Q. Vuong
16. Monfort, A., 1984. Pseudo Maximum Likelihood Estimation Methods: Application to Poisson Models. Econometrica, 52 (3): 701–720.
17. Gouriéroux, C., Monfort, A., and Trognon, A., 1985. Moindres carrés asymptotiques. Annales de I'INSEE, 58: 91–122.
18. Griliches, Z., and Mairesse, J., Production Functions: The Search for Identification. Document de travail CREST 9730. Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium. Edited by: Strom, S., Cambridge: Cambridge University Press. To appear in 1999
19. Hall B, H., and Mairesse, J., 1995. Exploring the Relationship between R-D and Productivity in French Manufacturing Firms. Journal of Econometrics, 65 (1): 263–293.
20. Hausman, J., Hall, B. H., and Griliches, Z., 1984. Econometric Models for Count Data with an Application to the Patent-R&D Relationship. Econometrica, 52 (4): 909–938.
21. Heckman, J., 1976. The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for such Models. Annals of Economic and Social Measurement, 5: 475–492.
22. Heckman, J., 1979. Sample Selection Bias as Specification Error. Econometrica, 47: 153–161.
23. Lee, L., 1981. “ Simultaneous Equations Models with Discrete and Censored Dependent Variables ”. In Strucrural Analysis of Discrete Data with Economerric Applications, Edited by: Manski, C., and Mc Fadden, D., 346–364. Boston: Massachusetts Institute of Technology Press.
24. Mairesse, J., and Cuneo, P., eds. 1985. Recherche-Développement et performances des entreprises: une étude économetrique sur données individuelles, Revue Economique Vol. 36, l001–1041.
25. Mairesse, J., 1990. “ Time -series and Cross-sectional Estimates on Panel data: Why Are They Different and Why Should They Be Equal? ”. In Panel Data and Labor Market Studies, Edited by: Hartog, J., Ridder, G., and Theeuwes, J., 81–95. Amsterdam: North Holland.
26. Mairesse, J., and Sassenou, M., 1991. R&D and Productivity: a Survey of Econometric Studies at the Firm Level. Science-Technology-Industry Review, OECD, 8: 9–43.
27. Mairesse, J., and Hall, B. H., 1996. “ Estimating the Productivity of Research and Development in French and United States Manufacturing Firms: An Exploration of Simultaneity Issues with GMM. ”. In Inrernational Productiviry Comparisons, Edited by: Wagner, K., and van Ark., B., 285–315. Amsterdam: North:Holland.
28. Malinvaud, E., 1970. Statistical Methods of Econometrics, Amsterdam: North-Holland.
29. Pakes A, and Z. Griliches. 1984. “ Patents and R&D at the Firm Level in French Manufacturing: A First Look ”. In Research and Development, Parents and Productivity, Edited by: Griliches, Z., 55–72. Chicago: The University Press of Chicago.
30. SESSI (Service des Statistiques Industrielles). 1994. Les chiffres clés: L'lnnovation Technologique., Paris: Dunod.