Using administrative and big data to improve labour market statistics

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Overview

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

Lead: Peter Dolton (NIESR, Sussex)

Co-Leads: Richard Dorsett (NIESR), Hasan Bakhshi (Nesta) and Stefan Speckesser (NIESR)

Expected end date: Q4 2018/2019

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.

Project code: 3.2

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