After presenting the history, the evolution and the content of innovation surveys, we discuss the characteristics of the data they contain and the challenge they pose to the analyst and the econometrician. We document the two uses that have been made of these data: the construction of...

In this paper, we put forward the idea of an innovation accounting framework and consider two main indicators based on it: expected innovation and innovativeness. The framework is the analogue of the standard framework of economic growth accounting, with innovativeness being a parallel notion to...

This paper proposes a framework to account for innovation similar to the usual accounting framework in production analysis and a measure of innovativity comparable to that of total factor productivity. This innovation accounting framework is illustrated using micro-aggregated firm data from the...

This paper compares the contribution of R&D to innovation in terms of the various innovation output measures provided by the third Community Innovation Survey (CIS 3) for French manufacturing firms and in terms of accounting for inter-industry innovation differences.

We review the econometric literature on measuring the returns to R&D. The theoretical frameworks that have been used are outlined, followed by an extensive discussion of measurement and econometric issues that arise when estimating the models. We then provide a series of tables summarizing the...

This paper investigates relationships between innovation input, innovation output and labor productivity in China for four major manufacturing sectors; textiles, wearing apparel, transport equipment and electronic equipment. It uses a large sample of firm level micro data and a structural model...

This paper consists in a detailed robustness investigation of the Crépon, Duguet and Mairesse [1998] (CDM) econometric framework, which encompasses as a reduced form equation the production function extended to R&D, as pioneered by Zvi Griliches. We focus on the sensitivity of the estimated...

This paper introduces dynamics in the R&D to innovation and innovation to productivity relationships, which have mostly been estimated on cross-sectional data. It considers four nonlinear dynamic simultaneous equations models that include individual effects and idiosyncratic errors correlated...