VOLUME XIII
WINTER 2005

PRODUCTIVITY AND R&D. A NON-PARAMETRIC ANALYSIS
 
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.
 
Key words: productivity and R&D, firm data, stochastic dominance, nonparametric analysis.
JEL classification: D21, D24, L10, C12, C14.

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