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Research, Innovation and Productivity: an Econometric Analysis at the Firm Level

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Author Info
Crepon, B.
Duguet, E.
Mairesse, J.

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Abstract

This paper studies the link between productivity, innovation and research at the firm level. We introduce three new features: (i) A structural model that explains productivity by innovation output, and innovation output by research investment; (ii) New data on French manufacturing firms, including the number of European patents and the percentage share of innovative sales, as well as firm-level demand pull and technology push indicators; (iii) Econometric methods which correct for selectivity and simultaneity biases ans take into account the statistical features of the available data: only a small proportion of firms engage in research activities and/or apply for patents; productivity, innovation and research are endogenously determined; research investment and capital are truncated variables, patents are count data and innovative sales are interval data.

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Publisher Info
Paper provided by Institut National de la Statistique et des Etudes Economiques- in its series Papers with number 9833.

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Length: 50 pages
Date of creation: 1998
Date of revision:
Handle: RePEc:fth:inseep:9833

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Related research
Keywords: PRODUCTIVITY RESEARCH AND DEVELOPMENT TECHNOLOGICAL CHANGE ECONOMETRICS

Other versions of this item:

Find related papers by JEL classification:
C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models
L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
O31 - Economic Development, Technological Change, and Growth - - Technological Change - - - Innovation and Invention: Processes and Incentives
O33 - Economic Development, Technological Change, and Growth - - Technological Change - - - Technological Change: Choices and Consequences; Diffusion Processes

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January. [Downloadable!] (restricted)
  2. Griliches, Z. & Mairesse, J., 1997. "Production Functions: The Search for Identification," Papers 9730, Institut National de la Statistique et des Etudes Economiques-.
    Other versions:
  3. Crepon, B. & Duguet, E., 1995. "Une bibliotheque de macro-commandes pour l'econometrie des variables qualitatives et de comptage," Papers 9525, Institut National de la Statistique et des Etudes Economiques-.
  4. Bronwyn H. Hall & Jacques Mairesse, 1995. "Exploring the Relationship Between R&D and Productivity in French Manufacturing Firms," NBER Working Papers 3956, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  5. 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. [Downloadable!] (restricted)
  6. Crepon, B. & Duguet, E., 1995. "Estimating the Innovation Function from Patent Numbers : GMM on Count Panel Data," Papers 9549, Institut National de la Statistique et des Etudes Economiques-.
    Other versions:
  7. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-38, July. [Downloadable!] (restricted)
    Other versions:
  8. Crepon, B. & Duguet, E. & Kabla, I., 1995. "A Moderate Support to Schumpeterian Conjectures from Various Innovation Measures," Papers 95.06, Paris I - Economie Mathematique et Applications.
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