Nowcasting using mixed frequency methods: an application to the Scottish economy

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
19 Downloads (Pure)


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.

Original languageEnglish
Pages (from-to)12-45
Number of pages34
JournalSankhya B
Issue numberSuppl 1
Early online date2 Jan 2019
Publication statusPublished - 30 Sep 2019


  • mixed frequency data
  • nowcasting
  • regional economics


Dive into the research topics of 'Nowcasting using mixed frequency methods: an application to the Scottish economy'. Together they form a unique fingerprint.

Cite this