scholarly journals RECONCILED ESTIMATES AND NOWCASTS OF REGIONAL OUTPUT IN THE UK

2020 ◽  
Vol 253 ◽  
pp. R44-R59
Author(s):  
Gary Koop ◽  
Stuart McIntyre ◽  
James Mitchell ◽  
Aubrey Poon

There is renewed interest in levelling up the regions of the UK. The combination of social and political discontent, and the sluggishness of key UK macroeconomic indicators like productivity growth, has led to increased interest in understanding the regional economies of the UK. In turn, this has led to more investment in economic statistics. Specifically, the Office for National Statistics (ONS) recently started to produce quarterly regional GDP data for the nine English regions and Wales that date back to 2012Q1. This complements existing real GVA data for the regions available from the ONS on an annual basis back to 1998; with the devolved administrations of Scotland and Northern Ireland producing their own quarterly output measures. In this paper we reconcile these two data sources along with UK quarterly output data that date back to 1970. This enables us to produce both more timely real terms estimates of quarterly economic growth in the regions of the UK and a new reconciled historical time-series of quarterly regional real output data from 1970. We explore a number of features of interest of these new data. This includes producing a new quarterly regional productivity series and commenting on the evolution of regional productivity growth in the UK.

2017 ◽  
Vol 33 (1) ◽  
pp. 223-247 ◽  
Author(s):  
Paul A. Smith ◽  
Gareth G. James

Abstract As part of the changes to industrial classifications following the United Nations’ revision to the International Standard Industrial Classification, ISIC Rev. 4, the UK moved to its version of a new classification between 2007 and 2011. We describe the processes involved in changing an industrial classification, including model-based adjustment methods and changes to survey designs and operations. We discuss the quality of the approaches used for different time periods in the same series, and the ways in which consistent time series are produced for users of economic statistics. We provide some general evaluation of the changeover, and guidance on the best approaches to follow when updating classifications.


2019 ◽  
Vol 17 (3) ◽  
pp. 293-305 ◽  
Author(s):  
Svitlana Khalatur ◽  
Gediminas Radzevicius ◽  
Liudmyla Velychko ◽  
Valeriia Fesenko ◽  
Lesia Kriuchko

In recent years, deoffshorization is a trend and dozens of countries have already started an open fight against offshore accounts. Ukraine is moving to complete deoffshorization in accordance with the new rules for exchanging information on financial accounts and BEPS rules. The purpose of the study was to search for optimal solutions for further improvements in the field of deoffshorization of the national and regional economy of the Eastern European contries, in particular Ukraine. The following methods were used to solve the problems in the work: induction and deduction (in the study of offshore types, the definition of interconnection and interdependence between them), abstract-logical (in generalizing the theoretical foundations of economic deoffshorization ), econometric-statistical (in assessing the state and dynamics of export-import operations of Ukraine with offshore jurisdictions), statistical analysis.On the basis of theoretical and empirical conclusions, the main consequences, which are the result of the study of global deoffshorization in conditions of financial control and its influence on the national and regional economy of Ukraine, are presented. The article provides a correlation analysis of the dependence of the export index to the UK from Ukraine with export, import and balance of offshore countries. A study was conducted on the presence or absence of a relationship between the volume of balance, exports and imports from Ukraine to the United Kingdom with the macroeconomic indicators of the national economy of Ukraine.


Author(s):  
Jonathan Wroth-Smith

IntroductionThe Office for National Statistics (ONS) is transforming the way it produces statistics and how it facilitates policy and academic research. Legislative change will enable access to administrative and commercial data to underpin this transformation but only through an innovative record linkage will the full benefits of transformation be realised. Objectives and ApproachGreater access to non-survey data brings with it huge opportunities for both social and economic statistics in the UK - significant improvements in timeliness and geographic fidelity. There are also risks in working with large, complex datasets which have not been compiled for statistical analysis. ONS are developing the Integrated Data Enabling Analysis and Statistics (IDEAS) initiative to provide ONS staff to linked datasets, without constructing a large database of everything. The approach involves routinely linking data to three indices (person, address, business) and assigning unique reference numbers. Data are then de-identified but can be re-joined for defined projects. ResultsThe session will set out case studies of linkage work that either have already been taken forward using IDEAS or those which are planned. Particular emphasis will be given to how IDEAS can facilitate research across a range of statistical research topics by linking on person, address and business. By making anonymised linked data available in a safe setting the IDEAS framework also has the potential to facilitate research across government and across academic research. ONS have ambitious plans to use this approach to draw together expertise from across both sectors to be able to realise the benefits of linked where knowledge is shared on data quality, methods and previous research undertaken. Conclusion/ImplicationsThe IDEAS framework is as step change in the production of official statistics. With appropriate legal, ethical and security controls, linked data within IDEAS can be repeated and refined for different applications. The framework enables collaboration across disciplines and has the potential to be using across government and academia.


2021 ◽  
pp. 1-8
Author(s):  
Milan Zeleny

Most world economies are undergoing fundamental transformations of economic sectors, shifting their employed workforce through the secular sequence of (1. Agriculture⟶2. Industry⟶3. Services⟶4. Government). The productivity growth rate is the driving force. Most advanced economies have reached the final stages of the sequence. Assorted recessions, crises and stagnations are simply cofluent, accompanying phenomena. Crises might be cyclical, but economic evolution is unidirectional. Traditional economics can hardly distinguish phenomena of crisis from those of the transformation. Because there is no “fifth sector”, some economies are entering the phase of metamorphosis, for the first time in history. Metamorphosis is manifested through deglobalization, relocalization and autonomization of local and regional economies. We are entering the Age of Entrepreneurship.


2015 ◽  
Vol 233 ◽  
pp. F53-F84
Author(s):  
Simon Kirby ◽  
Oriol Carreras ◽  
Jack Meaning ◽  
Rebecca Piggott ◽  
James Warren

The production of this forecast is supported by the Institute's Corporate Members: Bank of England, HM Treasury, Mizuho Research Institute Ltd, Office for National Statistics, Santander (UK) plc and by the members of the NiGEM users group.


2016 ◽  
Vol 17 (S1) ◽  
pp. 83-86
Author(s):  
Jule Mulder

According the Office for National Statistics' 2014 estimate, 300,000 UK residents were born in Germany and 131,000 are German nationals. This makes them the fifth biggest group of immigrants in the UK by country of birth—preceded only by people born in India, Poland, Pakistan and the Republic of Ireland— and the twelfth largest group of immigrants in terms of nationality. Thus, although Brexit's rhetoric against immigration has not directly targeted Germans, a large number will be affected by the UK's changing relationship with the EU. Just as for other EU citizens, their future status in the UK is all but certain.


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