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• W2133809495 abstract "The issue of technological unemployment receives perennial popular attention. Although there are previous empirical investigations that have focused on the relationship between innovation and employment, the originality of our approach lies in our choice of method. We focus on four 2-digit manufacturing industries that are known for their high patenting activity. We then use Principal Components Analysis to generate a firm- and year-specific ‘innovativeness’ index by extracting the common variance in a firm’s patenting and R&D expenditure histories. To begin with, we explore the heterogeneity of firms by using semi-parametric quantile regression. Whilst some firms may reduce employment levels after innovating, others increase employment. We then move on to a weighted least squares (WLS) analysis, which explicitly takes into account the dierent job-creating potential of firms of dierent" @default.
• W2133809495 created "2016-06-24" @default.
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• W2133809495 date "2007-08-01" @default.
• W2133809495 modified "2023-09-27" @default.
• W2133809495 title "The Employment Effects of Innovations in High-Tech Industries" @default.
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• W2133809495 hasPublicationYear "2007" @default.
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