Abstract
Policymakers need to understand innovation in high-profile sectors like technology. This can be surprisingly hard to observe. We combine UK administrative microdata, media and website content to develop experimental measures of firm innovation – new product/service launches – that complement existing metrics. We then explore the innovative performance of technology sector SMEs – firms also of great policy interest – using panel fixed effects
settings, comparing conventional and machine-learning-based definitions of industry space. For companies with event coverage, tech SMEs are substantially more launch-active than non-tech firms, with suggestive evidence of firm-city interactions. We use instruments and reweighting to handle underlying event exposure probabilities.
settings, comparing conventional and machine-learning-based definitions of industry space. For companies with event coverage, tech SMEs are substantially more launch-active than non-tech firms, with suggestive evidence of firm-city interactions. We use instruments and reweighting to handle underlying event exposure probabilities.
Original language | English |
---|---|
Pages | 1-62 |
Number of pages | 62 |
Publication status | Published - 1 Jul 2017 |
Publication series
Name | Centro Studi Luca D’Agliano Development Studies Working Papers |
---|---|
Publisher | Centro Studi Luca D’Agliano |
Volume | 429 |
Bibliographical note
This paper is currently under review at Management Science.Keywords
- innovation
- data science
- ICT