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Box D: National Institute Regional Modelling System (NiReMS): Methodology and Updates

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  • Bhattacharjee, Arnab
  • Szendrei, Tibor

Abstract

The UK has lacked an extensive information system to provide timely data and projections to support regional policy and governance. Nowcasting methods have been recently developed (Koop et al., 2020a and b) and implemented in ESCoE (2021). However, methods and models capable of producing projections of socioeconomic performance for the country and its regions into the medium run future were needed to understand regional and sectoral impacts of the Covid-19 and Brexit shocks and evaluate policy for regional regeneration. This was particularly critical with recent supply chain disruptions and reduced mobility that transformed both the relevance of global shocks and the nature of inter-regional spill-overs.

Suggested Citation

  • Bhattacharjee, Arnab & Szendrei, Tibor, 2022. "Box D: National Institute Regional Modelling System (NiReMS): Methodology and Updates," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 5, pages 41-44.
    • Handle: RePEc:nsr:niesra:i:5:y:2022:p:41-44
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    References listed on IDEAS

    as
    1. Arnab Bhattacharjee & Sean Holly, 2013. "Understanding Interactions in Social Networks and Committees," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(1), pages 23-53, March.
    2. Sungyup Chung & Geoffrey J.D. Hewings, 2015. "Competitive and Complementary Relationship between Regional Economies: A Study of the Great Lake States," Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(2), pages 205-229, June.
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