Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/106602 
Erscheinungsjahr: 
2014
Schriftenreihe/Nr.: 
IZA Discussion Papers No. 8662
Verlag: 
Institute for the Study of Labor (IZA), Bonn
Zusammenfassung: 
Governments around the world want to develop their ICT and digital industries. Policymakers thus need a clear sense of the size and characteristics of digital businesses, but this is hard to do with conventional datasets and industry codes. This paper uses innovative 'big data' resources to perform an alternative analysis at company level, focusing on ICT-producing firms in the UK (which the UK government refers to as the 'information economy'). Exploiting a combination of public, observed and modelled variables, we develop a novel 'sector-product' approach and use text mining to provide further detail on the activities of key sector-product cells. Overall, we find that the ICT production space is around 40% larger than SIC-based estimates, with almost 70,000 more companies. We also find ICT employment shares over double the conventional estimates, although this result is more speculative. Our findings are robust to various scope, selection and sample construction challenges. We use our experiences to reflect on the broader pros and cons of frontier data use.
Schlagwörter: 
quantitative methods
firm-level analysis
Big Data
text mining
ICTs
digital economy
industrial policy
JEL: 
C55
C81
L63
L86
O38
Dokumentart: 
Working Paper

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