Collaborative Research: Measuring the Bias of Technological Change

当技术变革发生时，它会提高劳动力和资本等生产要素的生产率。这种增长可能与所有要素成比例，或者某一要素的生产率可能以特别大的倍数增长。用经济学的专业语言来说，技术变革可能是“中性因素”，也可能偏向于一个因素。pi使用公司层面的面板数据来直接评估技术变革是偏向于劳动力还是因素中性。这一点很重要，因为其他研究工业经济学、生产率和经济增长的经济学家对技术变革的影响做出了不同的假设。本研究为这些假设提供了实证证据。研究小组还分析了他们的数据，以确定企业研发活动如何影响特定企业技术变革的速度和方向。其结果是对研发活动与生产率增长之间关系的更精确衡量。技术变革的偏见影响了商品和服务的生产方式，并塑造了个别工作场所、公司和整个行业的演变。这个项目是朝着了解技术进步的来源和由此产生的社会影响迈出的一步。

When technological change occurs, it increases the productivity of factors of production such as labor and capital. This increase could be proportionate across all the factors, or the productivity of one factor might increase by an especially large multiple. In the technical language of economics, technical change could be 'factor neutral' or it could be biased toward one factor.The PIs use firm-level panel data to directly assess whether technological change is biased towards labor or is factor neutral. This is important because other economists working in industrial economics, productivity, and economic growth have made different assumptions about the effects of technological change. This study provides empirical evidence for these assumptions.The research team also analyzes their data to determine how firm R&D activities affect the speed and direction of technological change in specific firms. The result is a more precise measure of the relationship between R&D activities and productivity growth.The bias of technological change influences how goods and services are produced and shapes the evolution of individual workplaces, firms, and entire industries. This project is a step towards understanding the sources of technological progress and the resulting societal impact.