Methodological Lock-in and the Evaluation of R&D Policies: A Critique to Quasi-experimental Assessments
ResumenTechnological innovation policies represent a strategic area in the field of public policy, and they are bound to face a continuous process of evaluation in order to analyze their effective contribution, as well as to allow their adaptation to changing economic and social contexts. However, a well-known weakness that many policy and scientific evaluations face in terms of R&D initiatives is that of being purely led by technique or method. In this article I build a criticism towards the widespread use of quasi-experimental assessments in the evaluation of RTD policies, as well as the predominance of regressive statistics in economic analysis. In order to illustrate my arguments I develop a simple empirical approach to the case of the Eureka Program.
BAYONA-SÁEZ, C.; García-Marco, T. (2010). Assessing the effectiveness of the Eureka Program. Research Policy, 39(10), 1375-1386.
BALCONI, M.; Brusoni, S.; Orsenigo, L. (2010). In defence of the linear model: an essay. Research Policy, 39, 1-13.
LEPORI, B. (2006). Methodologies for the analysis of research funding and expenditure: from input to positioning indicators. Research Evaluation, 15(2), 133-143.
Fischer, B. B. (2012). Methodological Lock-in and the Evaluation of R&D Policies: A Critique to Quasi-experimental Assessments. Current Opinion in Creativity, Innovation and Entrepreneurship, 1(2). https://doi.org/10.11565/cuocient.v1i2.3