Postgraduate funding

PhD Studentships in Economic Measurement: Economic Statistics Centre of Excellence (ESCoE)

Eligibility criteria

  • Open to residents of the following countries
    All Nationalities
  • Candidates should have a quantitative Masters degree in Economics or related areas (normally with Distinction) from an internationally recognised academic institution; and be interested in developing their research interests in economics statistics and applied econometrics.
  • Applicable subjects
    Management

Application details

Applications may be submitted
from
21-Jul-2017 until 08-Sep-2017

Information about the funding
We are seeking to recruit two to three PhD students who are interested in economic statistics and measurement. The students will contribute to King’s College London’s partnership with the ONS funded Economics Statistics Centre of Excellence (ESCoE) www.escoe.ac.uk. ESCoE is a joint initiative between the National Institute of Economic and Social Research who hosts the Centre, Cambridge, King’s College London, Nesta, Strathclyde and Warwick Business School.

One or two studentships will be concerned with investigating the implications of digitalisation for measuring economic activity, involving exploring new data sources and possible business case studies/structured interviews; and/or the measurement of firms’ investments in intangible assets using linked business microdata, Project 2.2: Measurement issues in the Modern Economy (see details below). The successful candidate’s main supervisors will be Professor Mary O’Mahony and Professor Diane Coyle (University of Manchester). One studentship will be concerned with aspects of labour market measurement, in particular the prospects for using administrative and big data to develop new labour market statistics, Project 3.1: Using administrative data to develop new labour force & migration statistics and Project 3.2: Using administrative and big data to improve labour market statistics (see details below). The successful candidate’s main supervisors will be Dr Augustin DeCoulon (Business School) and Professor Jonathan Portes (Department of Political Economy).

The students will also work with individuals in other ESCoE partner institutes such as Hasan Bakhshi (Nesta), Rebecca Riley (NIESR) and Jonathan Haskel (Imperial) on the modern economy and Jonathan Wadsworth (Royal Holloway), Peter Dolton (NIESR and Sussex), Richard Dorsett (NIESR) and Stefan Speckesser (NIESR) on labour market statistics. The research will contribute to and complement various ESCoE funded projects in addition to those mentioned above; details of the work programme are available here.

Information about the application
Project details

Project 2.2: Measurement issues in the Modern Economy
Lead: Diane Coyle (Manchester, NIESR)
Co-Leads: Rebecca Riley (NIESR), Hasan Bakhshi (Nesta) and Mary O’Mahony (King’s)
Objectives: This project will address the following: How do new digital business models map into existing statistics, and how might measurement approaches evolve in the light of this?; Improving measurement of the service sector; Better measurement of firms’ investments in intangible assets; Implications of the digital revolution for the measurement of economic welfare.


Project 3.1: Using administrative data to develop new labour force & migration statistics
Lead: Jonathan Wadsworth (RHUL, LSE)
Co-Leads: Jonathan Portes (King’s) and Augustin de Coulon (King’s)
Objectives: This project will directly address the objectives of ESCoE, as well as ONS’s wider objectives relating to economic statistics; it will use administrative data in new and innovative ways; it will aim to directly improve our understanding of key economic statistics, in particular those relating to the labour market, as well as population statistics; and it will be relevant to key political and policy priorities of government and great public interest. It therefore offers huge and wide-ranging potential benefits to ONS and to government as a whole.

This project will address a number of research questions relating to labour market dynamics, in particular in relation to the non-UK born population:
1. Mapping the EU resident population
2. Short-term and circular migration
3. Length of migration/return migration

Mapping changing migrant populations at small area level

This project aims to explore opportunities offered by government datasets to achieve a fuller understanding of labour market flows.


Project 3.2: Using administrative and big data to improve labour market statistics
Lead: Peter Dolton (NIESR, Sussex)
Co-Leads: Richard Dorsett (NIESR), Hasan Bakhshi (Nesta) and Stefan Speckesser (NIESR)
Objectives: This project aims to explore opportunities offered by government datasets to achieve a fuller understanding of labour market flows, including the potential for combining datasets to enrich the data currently used for analytical purposes. Big data offers further exciting opportunities for labour market statistics. This project also explores whether online job ads data can be used to produce improved data on occupations, skills and wages.
An important part of this project is to understand the implications of problems associated with the use of such datasets and to identify ways of mitigating them.

Value of award
Tuition fees at the Home/EU rate and a stipend of circa £16,296 pa for 3 years

Application procedure
Candidates should apply to mary.omahony@kcl.ac.uk and provide the following documents:
1) A curriculum vitae
2) A covering letter explaining your interest and aptitude for these research projects, in particular
a) why you are attracted to this particular opportunity
b) details of your quantitative skills
c) details of your knowledge of economics, statistics and econometrics
d) descriptions of previous projects you have completed
e) how the studentship fits with your career aspirations.
The cover letter should state if you are applying for the Modern Economy or the Labour Markets studentship.


The successful candidates will be required to apply formally to King’s College London Doctoral programme, at which time the following document will be required:
3) A 2000 word research proposal describing the research project you wish to carry out.

Applications should be submitted by 8 September 2017.
Shortlisted candidates will be contacted with further details soon after the closing date for applications.


Contact details

mary.omahony@kcl.ac.uk

Please note the database is updated regularly but is a guide only and not a guarantee of funding nor an exhaustive list of all funding available.

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