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Innovation and training: a dynamic count data model

Gallié, Emilie-Pauline; Legros, Diego (2007), Innovation and training: a dynamic count data model, 5th International EMAEE Conference on Innovation, 2007-05, Manchester, Royaume-Uni

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Type
Communication / Conférence
Date
2007
Conference title
5th International EMAEE Conference on Innovation
Conference date
2007-05
Conference city
Manchester
Conference country
Royaume-Uni
Pages
25
Metadata
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Author(s)
Gallié, Emilie-Pauline
Legros, Diego
Abstract (EN)
This paper explores the relationship between innovation and vocational training. We consider a linear feedback model to explain the dynamics of count data processes relative to patenting activities, R&D and training expenditures. Estimations are made on a panel data set relative to French industrial rms over the period 1986-1992. Our results indicate that the vocational training have a positive impact on the technological innovation.
Subjects / Keywords
count panel data; linear feedback model; patents; R&D; training
JEL
C23 - Panel Data Models; Spatio-temporal Models
C25 - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
J24 - Human Capital; Skills; Occupational Choice; Labor Productivity
L60 - General
O31 - Innovation and Invention: Processes and Incentives

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