Diversity and UK Firm Performance

该项目的目的是探索不同团队和工作场所的经济影响-以及城市多样性的更广泛作用-特别是对英国创业和公司层面的创新和生产力的影响。这些都是未被充分探索的重要问题，特别是在英国，主要是因为数据挑战。以我们的方式探索这些问题将为英国和世界各地正在进行的关于平等、多样性和包容性的巨大公共辩论做出宝贵贡献。我们的项目将结合联合收割机行政微观数据，新的在线数据源和计量经济学和数据科学的前沿方法。具体来说，我们将把LinkedIn上的个人数据（通过Diffbot知识图谱）与公司相匹配，然后与管理公司级数据（业务结构数据库，加上专利和其他信息）相匹配。在安全的环境中工作，我们将使用姓名分析工具来概率性地识别性别和种族，并收集有关国籍和出生国的信息。我们将把调查结果集中在我们相信LinkedIn覆盖率很高的行业--可能是科技、金融和商业服务等具有战略重要性的行业--并通过多次质量检查来运行我们的数据。我们将使用各种工具来更接近因果关系，包括工具变量策略和使用政策“冲击”，如a）英国脱欧和随后的政策事件，以及B）最近的英国性别薪酬差距立法。我们还将部署一套强大的技术保障措施，以确保个人隐私，只发布非公开的结果。该项目将在一系列重要但研究不足的主题中开发新知识。在此过程中，它还将建立一个独特的数据平台，供其他研究人员在未来使用。我们将与在相关概念、数据/方法和政策议程方面具有专业知识的主要行业、政策和民间社会利益攸关方合作。这使该项目能够直接促进关于生产力及其驱动因素的经济决策，包括联合王国正在出现的水平提升议程，同时也为商业决策提供信息，并在重要和正在进行的更广泛的公共对话中发言。该项目将产生一系列相互关联的产出：1/三份研究论文，涵盖性别和种族多样性（及其交叉点）与公司一级生产力、创新和创业精神之间的联系。这些文件将作为工作文件在高知名度的平台上发表，然后提交给同行审查的期刊。3/底层数据平台，（根据许可）我们将提供给其他研究人员作为受保护的数据资产; 4/我们将通过共同制作过程建立更广泛的研究人员和从业人员网络/社区。

This project's aim is to explore the economic effects of diverse teams and workplaces - and the wider role of urban diversity - specifically, on entrepreneurship and firm-level innovation and productivity in the UK. These are important issues that are under-explored, especially in the UK, largely because of data challenges. And exploring these issues in the way we set out will make a valuable contribution to the huge, ongoing public debates on equalities, diversity and inclusion - both in the UK and across the world. Our project will combine administrative microdata, novel online data sources and frontier methods in econometrics and data science. Specifically, we will match LinkedIn data on individuals (via the Diffbot knowledge graph) to companies, then to administrative firm-level data (the Business Structure Database, plus patents and other info). Working in secure settings, we will use name analysis tools to probabilistically identify gender and ethnicity, and would also gather information on nationality and country of birth. We will focus the resulting panels on sectors where we're confident LinkedIn has good coverage - likely to be strategically important industries like tech, finance and business services - and run our data through multiple quality checks. We will use various tools to get closer to causality, including instrumental variable strategies and using policy 'shocks' such as a) Brexit and subsequent policy events, and b) recent UK gender pay gap legislation. We will also deploy a robust set of technical safeguards to ensure individuals' privacy, publishing only non-disclosive results. The project will develop new knowledge in an important but under-researched set of topics. In the process it would also build a unique data platform that other researchers could use in the future. We will work together with leading industry, policy and civil society stakeholders with expertise on relevant concepts, data/methods and policy agendas. These enable the project to directly contribute to economic policymaking on productivity and its drivers, including the UK's emerging levelling-up agenda, while also informing business decision-making and speaking to important and ongoing wider public conversations.The project will generate a series of linked outputs:1/ Three research papers, covering links between gender and ethnic diversity (and their intersections) and firm-level productivity, innovation and entrepreneurship. These would be published as working papers on high-profile platforms, then submitted to peer-reviewed journals.2/ Additional non-technical, short-form content for each paper - blogs, policy briefs and so on; inviting our network / community to co-author or directly contribute whenever possible; 3/ The underlying data platform, which (subject to permissions) we will make available to other researchers as a safeguarded data asset;4/ The wider network / community of researchers and practitioners we will build through the co-production process.