Developing firm level micro data for productivity analysis

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Overview

Together with ONS, ESCoE researchers aim to conduct a UK firm survey that measures the level of uncertainty facing each individual firm, maximising synergies with other ONS business datasets.

Lead: Nick Bloom (Stanford)

Co-Leads: Rebecca Riley (NIESR), Tatsuro Senga (QMUL), Paul Mizen (Nottingham) and Hasan Bakhshi (Nesta)

Expected end date: Q1 2019/2020

Objectives: Together with ONS, ESCoE researchers aim to conduct a UK firm survey that measures the level of uncertainty facing each individual firm, maximising synergies with other ONS business datasets. This will allow us to create  uncertainty measures by region, sector and firm type, and will allow the study of the role of uncertainty in shaping firms’ activities. A new dataset with firm-level uncertainty measures will be made available to other researchers. This project also aims to develop the business microdata at ONS to be better able to study the links between firms’ financial arrangements and firms’ productivity and investment outcomes. Later stages (beyond the project end date) may consider the development of relational firm-level data.

Project code: 2.5

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