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VOLUME XIII
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WINTER 2005
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PRODUCTIVITY AND R&D. A NON-PARAMETRIC ANALYSIS
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JUAN A. MÁÑEZ CASTILLEJO
ANA RINCÓN AZNAR MARÍA E. ROCHINA BARRACHINA JUAN A. SANCHIS LLOPIS Universitat de València, Facultat d’Economia |
This paper analyses the differences in total factor productivity between R&D investing firms and firms that do not undertake these activities. We allow for a two way relationship between R&D and productivity by applying non-parametric testing procedures and the concept of stochastic dominance. Firm data are drawn from the Spanish Encuesta sobre Estrategias Empresariales for 1991-1998. Our results show that R&D investing firms are more productive. Furthermore, the most productive firms selfselect themselves into R&D activities and by starting these activities they reach higher levels of productivity.
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Key words: productivity and R&D, firm data, stochastic dominance, nonparametric analysis.
JEL classification: D21, D24, L10, C12, C14. |
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