NSF/OECD Joint Project on Exploiting the Potential of Existing Surveys and Administrative Data to Analyse the Role of Human S&T Resources in Innovation and Economic Performance

了解科学和技术领域的人力资源存量和流动情况的重要性至关重要。制定可跨国使用的国际指标指标将具有广泛的学术兴趣。这项建议旨在清点可用于研究人力资源对科学和技术(HRST)的影响的微观数据集。此外，还将举办一次讲习班，由来自不同国家的专家小组(学者)参加，这些专家(学者)具有根据选定的数据集进行计量经济学研究的经验。研讨会的目标将是为随后在与会国家并行进行的比较计量经济学工作确定和制定3-4项建议。此外，该建议通过建议关于人力资源科学技术在经济表现中所起作用的微观计量经济学工作，解决了美国科学和技术政策办公室主任约翰·马伯格提出的微观经济模型的必要性，作为建立新的社会科学学科的一部分。

The importance of understanding how stocks and flows of human resources in science and technology is critical. Developing indicators for international indicators that can be used across countries would have broad intellectual interest. This proposal seeks to inventory thef micro data sets that might be used to study the implication of human resources on science and technology (HRST).In addition, a workshop would be held with a panel of experts (academics) from different countries having experience in conducting econometric studies from the selected datasets. The objective of the workshop would be to define and develop 3-4 proposals for comparative econometric work to be conducted subsequently in parallel in the countries represented.Moreover, the proposal, by suggesting micro-econometric work on the role played by HRST in economic performance, addresses the need for micro-economic models as raised by John Marburger, Director of the US Office of Science and Technology Policy, as part of building a new social science discipline.