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dc.contributor.authorCoad, Alexanderen
dc.contributor.authorRao, Rekhaen
dc.date.accessioned2007-09-11-
dc.date.accessioned2010-05-14T11:16:26Z-
dc.date.available2010-05-14T11:16:26Z-
dc.date.issued2007-
dc.identifier.urihttp://hdl.handle.net/10419/31811-
dc.description.abstractThe 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 different job-creating potential of firms of different sizes. As a result, we focus on the effect of innovation on total number of jobs, whereas previous studies have focused on the effect of innovation on firm behavior. Indeed, previous studies have typically taken the firm as the unit of analysis, implicitly weighting each firm equally according to the principle of 'one firm equals one observation'. Our results suggest that firm-level innovative activity leads to employment creation that may have been underestimated in previous studies.en
dc.language.isoengen
dc.publisher|aMax Planck Institute of Economics |cJenaen
dc.relation.ispartofseries|aPapers on Economics and Evolution |x0705en
dc.subject.jelL25en
dc.subject.jelO33en
dc.subject.jelJ01en
dc.subject.ddc330en
dc.subject.keywordTechnological Unemploymenten
dc.subject.keywordInnovationen
dc.subject.keywordFirm Growthen
dc.subject.keywordWeighted Least Squaresen
dc.subject.keywordAggregationen
dc.subject.keywordQuantile Regressionen
dc.subject.stwInnovationen
dc.subject.stwHochtechnologiesektoren
dc.subject.stwBeschäftigungseffekten
dc.subject.stwTechnischer Fortschritten
dc.subject.stwArbeitslosigkeiten
dc.subject.stwUSAen
dc.titleThe employment effects of innovations in high-tech industries-
dc.typeWorking Paperen
dc.identifier.ppn543493938en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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