| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w19074 |
| 来源ID | Working Paper 19074 |
| Dynamic Models of R&D, Innovation and Productivity: Panel Data Evidence for Dutch and French Manufacturing | |
| Wladimir Raymond; Jacques Mairesse; Pierre Mohnen; Franz Palm | |
| 发表日期 | 2013-05-23 |
| 出版年 | 2013 |
| 语种 | 英语 |
| 摘要 | 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 across equations and that differ in the way innovation enters the conditional mean of labor productivity: through an observed binary indicator, an observed intensity variable or through the continuous latent variables that correspond to the observed occurrence or intensity. It estimates these models by full information maximum likelihood using two unbalanced panels of Dutch and French manufacturing firms from three waves of the Community Innovation Survey. The results provide evidence of robust unidirectional causality from innovation to productivity and of stronger persistence in productivity than in innovation. |
| 主题 | Econometrics ; Estimation Methods ; Industrial Organization ; Industry Studies ; Development and Growth ; Innovation and R& ; D |
| URL | https://www.nber.org/papers/w19074 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/576749 |
| 推荐引用方式 GB/T 7714 | Wladimir Raymond,Jacques Mairesse,Pierre Mohnen,et al. Dynamic Models of R&D, Innovation and Productivity: Panel Data Evidence for Dutch and French Manufacturing. 2013. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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