Sankhya B

pp 1–34 | Cite as

Nowcasting Using Mixed Frequency Methods: An Application to the Scottish Economy

  • Grant Allan
  • Gary KoopEmail author
  • Stuart McIntyre
  • Paul Smith


The delays in the release of key economic variables mean that policymakers do not know their current values. Quickly produced, high frequency, indicators are essential in understanding economic performance in a timely fashion. Thus, there is a need for nowcasts, which are estimates of the current values of such variables (e.g. GDP, employment, etc.). This paper nowcasts economic growth in Scotland. Nowcasting the Scottish economy is complicated because the government statistical agency treats Scotland as a region within the UK. This raises issues of data timeliness and availability. For instance, key nowcast predictors such as industrial production are unavailable at the sub-national level. Accordingly, we use data on some non-traditional variables and investigate whether UK aggregates, and indicators for neighbouring regions of the UK, can help nowcast Scottish GDP growth. Similar considerations hold for other regions in other countries. Thus, we show that these models and methods can be successfully adapted for use in a regional setting, and so produce timely macroeconomic indicators for other regional economies.


Nowcasting Mixed frequency data Regional economics 

JEL Classification

C13 C53 O18 R11. AMS (2000) subject classification. Primary: 62 Secondary: P20 


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Copyright information

© Indian Statistical Institute 2019

Authors and Affiliations

  • Grant Allan
    • 1
    • 2
  • Gary Koop
    • 1
    Email author
  • Stuart McIntyre
    • 1
    • 2
  • Paul Smith
    • 3
  1. 1.Department of EconomicsUniversity of StrathclydeGlasgowUK
  2. 2.Fraser of Allander InstituteUniversity of StrathclydeGlasgowUK
  3. 3.Markit LtdLondonUK

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