ONS has established a centre of expertise for the analysis of emerging and future issues in measuring the modern economy. The Economic Statistics Centre of Excellence (ESCoE) is a consortium of leading institutions led by the National Institute of Economic and Social Research (NIESR) with King’s College London, innovation foundation Nesta, University of Cambridge, Warwick Business School (University of Warwick) and Strathclyde Business School. The researchers and institutions have a long-standing history of collaboration with one another and with the ONS.
The centre provides the capacity for fundamental methodological and conceptual work, which will include best ways to address the challenge of measuring new forms of economic activity in a globalised world, meeting the needs for local, city and regional statistics and the productivity puzzle. Additionally, the ESCoE will form a platform for constructive discussion and dialogue around official statistics, to feed into the development and improvement of ONS economic statistics and data processing methodologies.
The direction of research undertaken by the ESCoE will be informed by the ONS Economic Statistics Analysis Strategy (ESAS). The ESAS is revised and updated annually to ensure that ONS’ research priorities remain relevant and current. All ESCoE projects address one or more of the themes within ESAS.Nôl i'r tabl cynnwys
The ESCoE has the following key responsibilities:
deliver research and analysis that enables ONS to meet its vision of delivering world-class economic statistics
deliver research and conceptual work which is influential in the international standard-setting agenda, allowing ONS to exert greater influence over the direction of travel of such standards
deliver an international annual conference to facilitate the sharing of best practice and world-class challenge to the work of the ESCoE
provide opportunities for joint-working between the ONS and academic community
work in collaboration with the ONS Data Campus to develop new techniques
promote and develop a wider academic community with skills and research experience in economic statistics